DevReady Podcast

This episode contains discussion of sensitive topics, including suicide and self-harm. Viewer and listener discretion is advised. If you or someone you know is struggling, please consider reaching out to a qualified professional or a support service in your area. You are not alone, and help is available.   In this episode of the Jeff Bogensberger, CEO and Founder of The Laughing Otter, to explore the intersection of technology, creativity, and purpose-driven business. Jeff shares his journey from global tech startups to building a positive entertainment brand focused on meaningful, feel-good content. Drawing on decades of experience across industries, he offers a grounded perspective on startup culture, innovation, and the role of technology in shaping society. This conversation is essential listening for founders, creatives, and business leaders navigating the evolving landscape of tech, media, and AI. Jeff reflects on his unconventional path into the tech industry, having entered during the height of the dot-com boom without a technical background. He discusses how venture capital has long prioritised hype and rapid exits over sustainable business models, creating a distorted perception of success. While a small number of companies achieve significant exits, most founders face the reality of building slowly, with consistent effort and resilience. The discussion highlights the contrast between tech startups and traditional businesses, where long-term stability, profitability, and steady growth remain the true indicators of success. The conversation then turns to the broader impact of the tech industry, particularly the gap between investment and meaningful societal outcomes. Jeff questions whether major platforms have delivered genuine improvements to wellbeing, especially in areas such as mental health and human connection. Both speakers examine the lack of accountability in tech, comparing it to heavily regulated sectors like banking, where compliance and responsibility are strictly enforced. They explore how systemic incentives, including political and financial structures, contribute to this imbalance and reinforce the need for stronger guardrails as technologies like AI continue to scale. Jeff shares the personal turning points that led to the creation of The Laughing Otter, including career burnout, exposure to widespread negativity, and deeply personal experiences with loss. These moments shaped his mission to build a platform centred on positivity, creativity, and human connection. The brand has since evolved into a multi-format media company, combining live events, artistic collaborations, and digital content that has generated over 100 million views. Inspired by global successes such as Bluey, Jeff is now expanding into animation while maintaining a focus on uplifting, family-friendly storytelling. The episode concludes with a thoughtful discussion on the impact of AI on creativity and the future of work. Jeff acknowledges the efficiency and accessibility that AI brings, while raising concerns about originality, intellectual property, and the potential dilution of creative expression. Both speakers explore how AI enables more people to create yet may also blur the line between skill and automation. The conversation extends to the economic implications of technological advancement, with Jeff highlighting that increased efficiency has not translated into reduced workloads or broader wealth distribution. It is a nuanced perspective on innovation, urging a more balanced approach that values both progress and human creativity. #Startups #AI #TechTok #Entrepreneur #DevReadyPodcast #TechTalk #Entrepreneurship #Innovation

In this episode of the DevReady Podcast, Andrew Romeo is joined by Abi Iyer, Director of Product Design at APAC, Zendesk, Head of Product Design at Lyrebird, and Investor at Startmate, to explore how product design drives real business outcomes. With a career spanning design leadership, startups, and medtech AI, Abi shares practical insights into building products that deliver measurable value. This conversation covers product strategy, user experience, startup execution, and the role of design in scaling modern businesses. Abi explains that the value of design depends heavily on the type of organisation and product being built. In high-volume consumer markets, design often supports marketing and sales outcomes, while in medtech and healthcare, it must prioritise empathy, usability, and seamless integration into complex workflows. He highlights how well-designed technology can reduce administrative burden for clinicians, improve work-life balance, and ultimately enhance patient outcomes. The goal is to create products that feel intuitive and almost invisible, allowing users to focus on their core tasks without friction. The conversation then explores Abi’s journey into design, beginning with his early ambitions in animation before transitioning into user experience, consulting, and product strategy. His exposure to commercial decision-making reshaped his understanding of design as a strategic lever for growth rather than a purely visual discipline. Andrew and Abi discuss how design contributes directly to engagement and revenue, with strong product design enabling businesses to increase adoption, improve retention, and drive monetisation. By linking design decisions to measurable outcomes, organisations can position design as a key driver of competitive advantage. A key theme throughout the episode is the importance of simplicity and usability. Andrew and Abi emphasise that effective product design focuses on reducing friction and enabling users to achieve outcomes quickly. They highlight the need for intentional trade-offs, where functionality and clarity take precedence over visual complexity. The discussion also reinforces the importance of observing real user behaviour, as there is often a disconnect between what users say and how they actually interact with products. Direct observation and usage data provide far more reliable insights for improving user experience. The episode also dives into startup thinking and product validation. Abi shares his experience transitioning into the startup ecosystem, including his involvement with Startmate as both an investor and mentor. He outlines a practical framework for early-stage founders, focusing on clear positioning, continuous iteration, and securing a first paying customer. He also breaks down research into generative and evaluative approaches, emphasising the need to balance idea generation with real-world validation. Ultimately, the conversation highlights that successful products are built by solving real problems, iterating quickly, and validating ideas through user behaviour and revenue rather than assumptions.   #ProductDesign #StartupGrowth #UserExperience #TechPodcast #DevReadyPodcast #ProductStrategy

In this episode of the DevReady Podcast, Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.ai | AI-Powered App Planning for Non-Tech Founders , is joined by Gareth Rydon, Co-Founder of Friyay.ai, for their latest AI Roundup. As a leading voice in generative AI strategy and adoption, Gareth shares practical insights on how businesses can move from experimentation to meaningful implementation. The conversation explores real-world AI use cases, emerging tools, and the evolving role of AI across both business and everyday life. This episode is essential listening for anyone looking to understand AI adoption, AI tools for business, and how to build a sustainable AI strategy in a rapidly changing landscape. Anthony and Gareth unpack how AI adoption is shifting from individual experimentation to organisation-wide strategy. While teams are already seeing productivity gains from tools such as AI coding assistants and design platforms, the real challenge lies in scaling these benefits across the business. They highlight how hands-on experimentation, both in professional and personal contexts, is accelerating understanding and confidence in AI. The discussion reinforces the importance of moving beyond isolated use cases and towards a structured, holistic approach to AI implementation that delivers measurable business value. The conversation also explores how AI is becoming embedded in everyday life, including how children are using it for learning, creativity and curiosity-driven exploration. Anthony shares his experience with AI image generation safeguards, particularly around restrictions involving children, which Gareth supports as a necessary layer of protection. They also examine how rapidly evolving platforms such as Claude and Loveable are expanding capabilities and converging into broader, all-in-one solutions. This shift raises important questions about differentiation, product positioning and the long-term direction of AI tools. A key theme throughout the episode is the growing sense of overwhelm in the AI space. With constant updates and new releases, Gareth advises focusing on mastering a small number of tools rather than chasing every innovation. Both Anthony and Gareth stress the importance of filtering out low-value content and following trusted voices who provide practical, experience-driven insights. They also highlight that many discussions in the AI space lack depth, often relying on benchmark comparisons rather than real-world application, which can distract from meaningful progress. Finally, Anthony and Gareth share practical frameworks for working effectively with AI, particularly in development and problem-solving contexts. They emphasise the importance of clear communication, structured planning and iterative workflows when collaborating with AI tools. Techniques such as prompting AI to ask clarifying questions, managing context through branching conversations, and actively reviewing outputs are highlighted as essential skills. The overarching takeaway is that AI is most powerful when used to enhance thinking and decision-making, rather than simply accelerating execution. #AI #ArtificialIntelligence #BusinessGrowth #Automation #Startups #Tech #DevReadyPodcast

In this episode of the Ashish Alexander, Founder of Ripel Stream Media, Founder and CEO at RevLearn, and Event Host of Rebel Meetups, about the future of education, alternative learning models, and career readiness in an AI-driven world. Drawing on his personal journey and experience building Revlearn, Ashish explores the limitations of traditional schooling and shares a bold vision for a more practical, skills-focused approach to education. This conversation is essential listening for founders, educators, and anyone interested in education reform, career pathways, and preparing the next generation for real-world success. Ashish outlines Revlearn’s evolution towards launching an in-person high school with plans for future online expansion, designed to prioritise engagement, accessibility, and real-world learning. He discusses the financial and regulatory barriers involved in building a school, highlighting how bureaucracy often slows innovation across education systems. His model challenges conventional structures by questioning rigid subject requirements and advocating for educators selected based on practical expertise and teaching ability rather than formal qualifications. Positioned within the global rise of micro schools and alternative education, Revlearn aims to better align learning with real-world outcomes. The conversation explores how traditional education frameworks measure learning and whether age-based progression remains relevant. Ashish argues that modern learners can acquire knowledge when needed through accessible digital resources, reducing reliance on fixed timelines. He critiques the focus on university pathways, noting a growing disconnect between academic achievement and employability, particularly as AI reshapes industries. Revlearn’s approach balances foundational subjects with a skills-first mindset, giving students flexibility while ensuring core competencies are covered through more engaging and practical methods. Anthony raises the importance of structured education in developing resilience, discipline, and broad knowledge, which supports critical thinking and cross-disciplinary insight. Ashish acknowledges this perspective while emphasising that focused problem-solving can naturally lead to broader learning across related areas. He challenges the idea of a single career path or passion, encouraging exploration and adaptability as individuals discover multiple interests over time. This philosophy underpins Revlearn’s emphasis on early career exploration, helping students make informed decisions before committing to costly and time-intensive university degrees. #FutureOfEducation #SkillsBasedLearning #DevReadyPodcast #StartupMindset #CareerGrowth Ashish also reflects on the personal experiences that shaped his mission, including his struggles within a memorisation-based schooling system in India and the cultural pressure to follow a traditional academic path. His journey through university and into the workforce revealed a disconnect between education and practical skills, particularly for individuals with different learning styles, including those who are neurodiverse. Through Revlearn’s early initiatives, including a community-driven platform on Discord, he engaged directly with students and uncovered widespread gaps in career guidance. These insights, combined with high university dropout rates and misaligned career outcomes, continue to drive his commitment to rethinking how education prepares young people for the future.

In this episode of the DevReady Podcast, Andrew Romeo sits down with Danielle Marple, founder of By the Founder and Marple Co, to explore how service-based businesses can successfully transition into scalable software products. Danielle shares her journey from fractional paralegal services to building a SaaS platform designed to streamline partnerships, referrals, and business development. This episode is a must-listen for founders looking to move beyond trading time for money and into product-led growth. Danielle’s entrepreneurial journey began with a strong desire to step away from corporate life and experiment with building her own ventures. She quickly established a fractional paralegal and business development model, leveraging her network and offering high-value expertise on a flexible retainer basis. While this approach enabled rapid client acquisition, it also exposed a core limitation of service businesses, where revenue remains closely tied to hours worked. This realisation led Danielle to explore new ways to scale her impact and income. A key turning point came when Danielle identified the financial potential in referrals and introductions, where commissions and fees could significantly outperform hourly billing. However, managing these relationships manually proved inefficient and difficult to track. This challenge inspired her to develop a software solution that centralises partnership management, captures every interaction, and ensures accurate tracking of agreements and payments. Her platform addresses a widespread gap in the market, where businesses struggle to operationalise and monetise their networks effectively. The conversation also highlights the growing role of no-code tools and rapid prototyping in modern product development. Danielle built an MVP by translating her real-world workflows directly into a functional product, allowing her to validate ideas quickly and communicate clearly with developers. By focusing on solving her own operational challenges first, she created a product that delivers immediate ROI through improved efficiency and reduced reliance on additional hires. Her approach reflects a broader shift towards building practical, user-driven software grounded in real business needs. Finally, Danielle shares actionable insights for service-based founders looking to build products. She emphasises the importance of identifying repetitive manual tasks and consolidating fragmented tools into a single solution. She also highlights the value of startup ecosystems such as Blackbird and Startmate in building credibility, expanding networks, and accelerating growth. Rather than chasing external funding, Danielle prioritises customer value and sustainable revenue, reinvesting earnings back into product development. Her journey demonstrates how strong relationships, continuous iteration, and a clear problem focus can drive successful product creation. #DevReadyPodcast #SaaS #StartupJourney #NoCode #BusinessGrowth #Entrepreneurship

Claudia Barriga-Larriviere, Head of People at EatClub and Coach at Startmate, joins Andrew Romeo on the DevReady Podcast to explore how high-performing teams are built, scaled, and sustained in fast-moving tech startups. Drawing on her experience across incubators, scaleups, and high-growth environments, Claudia shares practical insights into people and culture strategy, leadership, and organisational design. Claudia’s journey into startups began unexpectedly after leaving corporate life during the global financial crisis, leading her into incubators like Pollenizer and the broader startup ecosystem. She reflects on the stark contrast between corporate environments and startups, where speed, ownership, and real-time decision making define success. This transition allowed her to discover her strength in bringing structure and clarity to fast-paced, ambiguous environments while supporting founders and first-time leaders through critical growth phases. Throughout the conversation, Claudia highlights the importance of accountability, clear systems, and strong team dynamics in startup success. She introduces key principles such as “done is better than perfect” and “always handing over”, emphasising the need to build processes that enable continuity and collaboration. High-performing teams, she explains, rely on a balance of builders, learners, and organisers working together with healthy friction, supported by diverse perspectives and strong communication. As startups scale, Claudia stresses the importance of systems thinking over reactive hiring. She shares how teams often slow down when they add more people instead of improving processes, and why smaller, well-structured teams can outperform larger, fragmented ones. Reflection, data visibility, and clear feedback mechanisms are essential to ensure leaders understand what is happening across the organisation and can make informed decisions quickly. Claudia also challenges traditional approaches to culture and leadership, advocating for “culture add” over “culture fit” and encouraging leaders to embrace discomfort through honest feedback and open communication. She emphasises that innovation is driven by creativity, which requires energy, balance, and supportive environments where people can thrive both inside and outside of work. Ultimately, building effective teams comes down to designing systems around real human behaviour, enabling sustainable performance, and fostering environments where diverse teams can succeed together. #startup #founders #leadership #teambuilding #culture #australianstartups #devreadypodcast

In this episode of the DevReady Podcast, Andrew Romeo sits down with Maria Botev, Senior Business Analyst at ORIX Australia, to explore process improvement, business analysis, and continuous improvement in modern organisations. Maria shares her journey from hands-on operational roles to leading process and project frameworks in a corporate environment, highlighting the importance of customer-centric thinking, accountability, and structured problem-solving. This conversation is a practical guide for businesses looking to improve workflows, optimise project delivery, and build scalable systems that deliver real value. Maria explains that effective process improvement begins with clarity and alignment. Visualising processes through mapping inputs, outputs, stakeholders, and workflows helps teams understand how work is actually done and where inefficiencies exist. This approach allows organisations to focus on targeted improvements rather than attempting to overhaul entire systems. In larger businesses, success relies on stakeholder alignment and shared understanding, ensuring that every contributor is working towards the same outcome with clear visibility. The discussion also explores how to break down complex systems into manageable components. Maria introduces a layered approach to business processes, starting from high-level organisational goals and drilling down into detailed operational steps. By defining processes with clear start and end points, along with measurable inputs and outputs, teams can identify root causes more effectively and prioritise improvements with confidence. This structured method supports better decision-making while allowing room for creativity when testing and refining solutions. A key theme throughout the episode is communication and engagement. Maria emphasises the importance of simplifying complex ideas so that all stakeholders can participate meaningfully, regardless of technical background. She also highlights the value of mapping customer journeys early, using personas to understand user behaviour, needs, and expectations. This customer-first perspective ensures that solutions are relevant, usable, and aligned with real-world problems, rather than being driven purely by internal assumptions. The conversation further explores the influence of entrepreneurial thinking and emerging technologies such as AI in process improvement. Maria shares how her involvement in the Startmate community strengthened her focus on value-driven outcomes and practical execution. AI is increasingly used as a support tool for automating reporting, generating insights, and enabling better comparisons across projects. Combined with centralised dashboards and shared data visibility, these tools help organisations reduce duplication, align global teams, and make more informed decisions. Ultimately, the episode reinforces that continuous improvement is essential for business growth, with processes needing to evolve constantly to remain effective and competitive. #ProcessImprovement #BusinessAnalysis #ProjectManagement #ContinuousImprovement #AIinBusiness #DigitalTransformation #CustomerExperience #WorkflowOptimization #TechPodcast #DevReadyPodcast

In this episode of the Theo Moulos, CSO of GrowthHackers and CEO of GrowthRocks about the evolution of growth hacking, AI-driven marketing and the realities of scaling digital businesses. Theo shares insights from his experience building marketing technology companies, launching MarTech products and working with a global community of founders and marketers. Drawing on his background in psychology, computer science and business, he explains how modern growth strategies combine technology, experimentation and data-driven decision making. Theo begins by explaining how his multidisciplinary background led him into marketing technology and growth strategy. Early in his career he focused on applying engineering and agile development principles to marketing, encouraging teams to run frequent experiments and measure results quickly. GrowthRocks gained significant traction by targeting high intent SEO keywords such as “growth hacking agency”, capturing businesses actively searching for growth marketing services. This strategy helped scale the agency into a two-million-dollar business and positioned it within the global growth hacking movement. The conversation then explores what Theo describes as Growth Hacking 2.0, driven by the rise of artificial intelligence and digital transformation. Through initiatives such as Growth Hacking University and partnerships with the GrowthHackers community, Theo and his team expanded their reach across a network of more than 140,000 founders and marketers. He also shares insights from building and exiting several MarTech products, including the marketing platform Loops, and discusses the development of Growth OS, an AI-powered operating system designed to support scalable marketing and business growth. Theo explains how operational playbooks helped GrowthRocks achieve unusually high margins by standardising marketing processes and turning expertise into repeatable systems. These playbooks evolved into a platform that integrates marketing workflows, AI tools and automation. He emphasises that AI tools alone do not guarantee efficiency. Productivity increases when complex systems are simplified and structured so users can access powerful capabilities through natural language and guided workflows. Anthony and Theo also discuss how artificial intelligence is reshaping innovation by orchestrating software tools and APIs through natural language interfaces. This shift allows individuals and small teams to access advanced capabilities that previously required specialised technical knowledge. At the same time, expertise remains essential because professionals who understand the underlying systems can use AI more strategically and effectively. The episode concludes with practical insights for founders and startups. Theo highlights the importance of understanding the entire growth funnel, defining a clear North Star metric and adopting agile marketing strategies that rely on continuous experimentation. He also stresses that many startups fail because they exhaust resources on product development while neglecting distribution and marketing. Sustainable growth requires both a strong marketing strategy and founders who remain actively involved in building traction and guiding the direction of the business.   #DevReadyPodcast #GrowthHacking #StartupMarketing #AIinMarketing #FounderInsights #StartupGrowth

In this episode of the Mark Vos, Founder and CEO of Cyber Impact, about the evolving landscape of artificial intelligence, cybersecurity and AI governance. Mark brings decades of experience across technology, consulting and enterprise risk leadership, including senior roles in Big Four consulting and as Chief Risk Officer and Chief Information Security Officer at Iress, a platform that supports the majority of Australian stock market trades. Drawing on this background, Mark shares insights into how organisations can safely adopt AI while managing emerging risks across security, governance and business transformation. Mark reflects on his journey as a lifelong technologist who entered the workforce during the early days of the internet boom in the mid-1990s. His career progressed from cybersecurity consulting into executive leadership roles that expanded his focus from technical security to enterprise-wide risk management covering operational, financial and reputational threats. This broader perspective eventually led him to found Cyber Impact, where he delivers fractional CISO services and strategic security guidance to organisations that require high-level expertise without a full-time executive commitment. The conversation then turns to the rapid rise of artificial intelligence and AI-driven business transformation. Mark describes AI as the next major technological shift following the industrial revolution, electricity and the internet. He believes the pace of change will surpass previous technology waves and deliver profound impact across industries within the next decade. At the same time, he stresses that organisations must combine innovation with responsible governance, particularly as businesses face pressure from shareholders to deploy AI quickly to improve efficiency and competitiveness.   Anthony and Mark explore the technical realities behind AI systems, including how large language models operate as complex neural networks with billions of parameters. These systems are inherently non-deterministic, which introduces challenges for security and oversight. Mark explains that prompt manipulation and language-based interactions can create new cyber attack surfaces similar to social engineering. The discussion also highlights risks associated with AI agents that can execute tasks autonomously, access systems or interact with financial services without sufficient safeguards in place. Another major theme is the growing sophistication of AI-generated content such as deepfakes, synthetic media and automated decision systems. Mark notes that AI-generated images and videos have reached a level where even experts can struggle to detect them. Anthony adds that algorithm-driven social media platforms can reinforce misinformation by repeatedly exposing users to similar content. Both emphasise the importance of verifying information through trusted sources and maintaining human oversight when deploying AI in critical environments. The episode also examines the architecture behind modern AI systems, including context windows and memory management. Anthony explains how AI models rely on contextual information to understand conversations, which can degrade when the context grows too large. Mark describes techniques such as using sub-agents to handle specific tasks, allowing the main system to maintain stability and efficiency. Strong governance practices such as external guardrails, least privilege access and independent oversight remain essential to ensure AI systems operate within defined boundaries. Finally, Mark highlights the urgent need for AI governance frameworks at both organisational and societal levels. He believes the world currently has a narrow window to shape responsible AI policies before systems become too deeply embedded across industries. While rapid AI adoption continues to accelerate innovation and productivity, Mark remains optimistic that thoughtful regulation, industry collaboration and open public discourse can guide AI development in a positive direction. #AI #CyberSecurity #ArtificialIntelligence #TechPodcast #DevReadyPodcast #BusinessTechnology #AILeadership

In this episode of the Andrew Romeo, CEO and Co-Founder of Aerion Technologies and DevReady ai, speaks with Sarah-Jane Kurtini, Co-Founder of Tinybeans, Founder of PitchSlap.Me and positioning specialist at S-J Kurtini Consulting. Sarah shares her journey from scaling a global parenting tech platform to helping founders sharpen their product positioning, pitch narrative and growth strategy. Best known for taking Tinybeans from startup to ASX listing, she now focuses on helping early stage and scaling companies achieve product market fit through clear storytelling and structured thinking. This episode is essential listening for startup founders, non-technical entrepreneurs and tech leaders looking to improve positioning, pitch clarity and sustainable growth. Sarah begins by unpacking the origin story of Tinybeans, which started as a milestone tracking tool inspired by her co-founder’s experience supporting his son’s speech development. The real breakthrough came when photo sharing was combined with developmental tracking, creating a product families returned to daily. By personally managing customer service in the early years, Sarah and her team ensured they were building around real user feedback rather than assumptions. That close connection to customers helped drive strong product market fit and ultimately positioned Tinybeans for international expansion and a successful ASX listing. The conversation then turns to the realities of startup life, including taking financial risks, backing the right co-founder and committing deeply to a product you genuinely believe in. Sarah reflects on the importance of conviction, timing and solving a problem you personally understand. After exiting Tinybeans, she found herself drawn to the power of positioning as the foundation of growth. She explains that without clear messaging around the problem you solve and why you are different, efforts across SEO, paid advertising, sales and investor outreach often stall because confused buyers default to no decision. This insight led to the creation of PitchSlap, an AI powered tool designed to help founders refine their narrative and improve their investor pitch. Initially launched as a simple MVP using a Google Form connected to the OpenAI API, PitchSlap validates demand while delivering structured feedback across six core building blocks: market gap, context, solution, traction, vision and team. The tool not only critiques a pitch but rewrites and strengthens it, producing a usable document and optional pitch deck output. By focusing on narrative arc and clarity, Sarah helps founders move from scattered messaging to a compelling investor ready story. Andrew and Sarah close by drawing parallels between PitchSlap and DevReady ai, highlighting the value of structured frameworks in product development and communication. Many founders struggle because they do not know the right questions to ask, and structured guidance creates clarity that accelerates decision making. Customer feedback has shaped PitchSlap’s tone and delivery, with multiple feedback modes ensuring honesty without discouragement. The overarching lesson is clear: positioning, storytelling and structured iteration are powerful growth levers for any startup seeking long term success in competitive technology markets. #StartupGrowth #ProductMarketFit #FounderLife #DevReadyPodcast

In the first AI Update of 2026 for the DevReady Podcast, Anthony Sapountzis and Gareth Rydon, Co-Founder of Friyay.ai, for a deep dive into the biggest AI trends shaping business, software development and digital strategy. This episode explores autonomous AI agents, AI security risks, AI driven search, voice interfaces, AI advertising and the future of user experience design. Gareth brings practical, enterprise focused perspectives to the fast-moving AI landscape. Together, they cut through hype to provide clear guidance for business leaders navigating artificial intelligence in 2026. The conversation opens with a critical look at OpenClaw and the wider surge in interest around autonomous AI agents. Anthony and Gareth question whether recent breakthroughs are genuinely transformative or simply refined versions of existing agent loop frameworks. They address viral claims about self aware AI, clarifying that current systems operate within structured prompts rather than demonstrating artificial general intelligence. Security concerns are front and centre, including exposed API keys and malicious skills embedded within agent libraries, reinforcing the need for governance and risk management. Their advice to organisations is grounded in strategy: slow down, validate sources, and prioritise secure implementation over reacting to influencer driven headlines. From there, the discussion shifts to practical AI adoption inside businesses. Gareth outlines a structured method for building AI skills using Claude, encouraging teams to let the model interview them to clarify requirements before creating new workflows. Both emphasise that strong planning, detailed product requirements and structured user stories remain essential in AI assisted software development. They also explore the rise of voice based AI tools such as WhisperFlow, predicting greater adoption of conversational interfaces in professional environments during 2026. Across tools including ChatGPT, Claude, Codex, Gemini and Google Studio, the key theme remains consistent: thoughtful integration delivers far better results than experimentation without direction. The episode also examines cultural and commercial shifts driven by AI. Gareth highlights the importance of supporting new developers who are learning to code with AI tools, arguing that accessibility expands innovation and strengthens the broader ecosystem. Anthony and Gareth then explore AI monetisation models, including the introduction of advertising within conversational platforms, raising questions around trust, transparency and the integrity of AI generated recommendations. They consider how conversational commerce and Shopify integrations may reshape online shopping journeys, potentially reducing reliance on traditional website navigation while increasing the importance of AI discoverability. Finally, the pair look ahead to the broader AI first landscape. Businesses are rethinking SEO and digital strategy to ensure their websites are cited and surfaced by AI tools such as ChatGPT and Perplexity. Google’s ecosystem, spanning Android, YouTube and device integration, is positioned as a potential dominant force in 2026. The conversation even extends to AI in sport, where performance analytics and wearable technology may reshape training and viewing experiences more than broadcast overlays alone. Throughout the episode, the core message remains clear: artificial intelligence will continue to evolve rapidly, but sustainable advantage belongs to organisations that combine strategic planning, technical depth and long-term thinking. #AI2026 #ArtificialIntelligence #AIStrategy #FutureOfWork #DevReadyPodcast

Deena Yuille, CEO and Co-Founder of Knowledge Orchestrator, to the DevReady Podcast for a wide-ranging conversation on enterprise AI, customer experience and practical innovation. Deena is a respected Australian business leader with deep experience in transformation and governance and brings a distinctive perspective shaped by her non-technical background in business process, organisational design and people leadership. In this episode, she shares how those foundations influence her approach to building human-centred AI that delivers real business value. Throughout the discussion, Deena explains how Knowledge Orchestrator focuses on outcomes and actionable insights rather than traditional dashboards and static reports. The platform brings together fragmented data from across a business and converts it into personalised, real-time analytics that clearly explain why the information matters. By delivering insights in plain language, teams can make faster decisions without spending days analysing spreadsheets. Anthony and Deena explore how this approach supports sales, inventory management, procurement and post-acquisition integration, while keeping human judgement at the centre of decision-making. Deena also shares the pivotal moment that led to the creation of Knowledge Orchestrator, following the sudden loss of a colleague whose knowledge was never documented and was critical to the business. This experience highlighted the operational risk of information being locked inside individuals rather than captured in systems. It shaped the company’s mission to transform spreadsheets and raw analytics into structured language that can train large language models efficiently. The result is near-instant insights that reduce cognitive load, save time and scale knowledge across organisations. Looking back, Anthony and Deena reflect on building Knowledge Orchestrator well before the recent surge in mainstream AI adoption. Deena explains how her team’s background in customer support and customer experience has driven a strong focus on usability, clarity and intuitive design. She highlights how technically robust products often fail when they overlook the everyday user, and why simplicity and clear language are critical for adoption. Customer experience reviews are embedded into the product release process to ensure the platform remains accessible and effective. The conversation also covers the realities of growing an enterprise AI startup in the Australian B2B market, where innovation often moves cautiously and trust must be earned. Deena discusses balancing speed with thoughtful design, iterating on prototypes and wireframes, and supporting customers through regular reviews and integrated data insights. As AI models continue to evolve, Anthony and Deena agree that turning complex business data into clear, language-driven insights gives leaders a complete and timely view of performance. This shift empowers executives to ask better questions, see trends sooner and make informed decisions in a fast-moving business environment. #EnterpriseAI #BusinessLeadership #DevReadyPodcast

In this episode of the DevReady Podcast, Anthony Sapountzis, CTO and Co-Founder of Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.Ai, is joined by Simon Bedard, Managing Director of Exit Advisory Group. Simon brings deep experience from investment banking, business ownership, and sell-side mergers and acquisitions, where he now helps founders prepare for and execute successful business exits. After working with high-net-worth individuals and selling his own businesses, Simon identified a significant gap in professional, end-to-end exit support for business owners. His work focuses on business valuations, exit strategy, and advisory services that help founders understand what their business is worth and how to maximise value before selling. The conversation explores why selling a business is far more complex than many founders expect. Simon explains that while business owners are naturally comfortable with uncertainty and risk, investors approach acquisitions with a fundamentally different mindset that prioritises risk reduction. This difference often leads to friction during negotiations, particularly when emotional attachment and legacy considerations come into play. Simon shares practical insights into how founders and buyers can view the same business very differently, and why understanding investor psychology early can significantly reduce stress and improve outcomes during a sale. Anthony and Simon also unpack the differences between selling smaller owner-operated businesses and larger corporate-style companies. Smaller businesses may attract a wider pool of potential buyers, but owners often lack the time, resources, and transaction experience required to manage a sale effectively. Larger businesses typically have stronger internal teams, experienced advisers, and more sophisticated buyers who understand the mergers and acquisitions process. Simon notes that the current market is characterised by historically high levels of available capital, creating strong competition for quality businesses, while also increasing the risks for owners who engage buyers without proper representation. The discussion then turns to the dangers of unsolicited acquisition approaches. Simon explains that buyers usually operate within structured, sales-driven processes designed to maximise value for the acquirer. Without independent advisers and a seller-led process, business owners can lose control, endure lengthy due diligence, and still end up without a firm offer. Emotional fatigue and time pressure often weaken negotiating positions, leading to reduced valuations and unfavourable deal terms. Running a competitive process with the right advisers is essential to protecting value and maintaining leverage. Finally, Simon outlines what business owners should prioritise when preparing for an exit. He stresses the importance of early planning, often three to five years in advance, to reduce owner dependency and address risks such as key person exposure and customer or supplier concentration. Simon explains that time and value are closely linked, and delaying preparation often forces founders to compromise on price or terms. The episode concludes with a clear message that thoughtful planning, realistic timelines, and experienced guidance are critical to achieving a successful and well-managed business exit. #BusinessExit #ExitStrategy #SellYourBusiness #BusinessValuation #MergersAndAcquisitions #FounderJourney #Entrepreneurship #PrivateEquity #BusinessGrowth #DevReadyPodcast

Andrew Romeo welcomes listeners to the DevReady Podcast for a deep dive into corporate innovation, open innovation strategy, and how startups and enterprises can work together more effectively. In this episode, Andrew is joined by Spiro El Khoury, Head of Growth (Australia) and founding team member at The Bakery, as well as a mentor at Startmate. Spiro shares insights from his journey into the innovation ecosystem, spanning corporate venturing, startup mentorship, and building stronger innovation pathways in Australia. Spiro reflects on his move from Lebanon to Australia during the COVID period, explaining how unexpected circumstances shaped his career in technology consulting and innovation. From early roles as a business analyst and product owner, he remained closely connected to the fast-moving startup world while helping corporates deliver solutions. He emphasises that the most effective innovation happens when organisations collaborate with external ecosystems, including startups, universities, and research institutions, particularly in complex sectors such as mining, healthcare, and decarbonisation. The conversation explores The Bakery’s role as a corporate innovation management firm supporting large organisations with sustainable innovation strategies. Spiro explains that innovation must go beyond branding or “innovation theatre” and instead become a structured growth engine delivering measurable outcomes. The Bakery helps corporates strengthen internal innovation teams, engage in Horizon Two and Horizon Three initiatives, and connect with scale-up startups through models such as venture client partnerships. Andrew notes that many corporate innovation efforts lose momentum over time, making execution and long-term commitment essential. Spiro breaks down the concept of open innovation, where corporates acknowledge that the best ideas and solutions often exist outside their own walls. He shares how global organisations like Procter & Gamble use external partnerships to reduce risk, accelerate R&D, and avoid reinventing proven solutions. The Bakery applies this approach by helping corporates define major challenges, run open innovation programs, and identify the right innovators through structured processes like demo days, while avoiding the common “proof of concept graveyard” where pilots fail to scale. The episode also offers practical guidance for startups seeking corporate customers, with Spiro stressing the importance of traction, proven value, and understanding enterprise buying cycles. Through his work with Startmate and Launch Club, he mentors founders to acquire early customers and navigate corporate complexity. Spiro also highlights Australia’s opportunity to improve innovation output through better education, stronger frameworks, and community-driven initiatives like the Corporate Innovation Series and the Corporate Innovation Summit, positioning innovation as a long-term strategy for national and business growth. #DevReadyPodcast #CorporateInnovation #OpenInnovation #AerionTechnologies

For this episode of the DevReady Podcast, host Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and Co-Founder of DevReady.ai | AI-Powered App Planning for Non-Tech Founders , sits down with Tim Krotiris, Founder and CEO of Backable and Founder of Philotimo Global, to unpack what AI means for founders who are building in the real world. Tim shares the hard-won lessons from two decades of entrepreneurship, why small business owners have historically been underserved compared to big enterprises, and how Backable is designed to provide practical, always-on support without becoming another distraction. Tim’s story starts early, with a first attempt at entrepreneurship at 16 and a career shaped by building, scaling, and selling businesses across industries. From martial arts promotions and gym ownership to property, apparel, and marketing agencies, Tim’s path led him to a deeper focus on helping SMBs grow through Philotimo Global. That experience also exposed a pattern: two founders can have similar opportunities and advice, yet produce dramatically different results, and Tim became obsessed with understanding why. That obsession evolved into a decade-long effort to rebuild advisory support into something more intelligent, consistent, and founder-friendly. Tim explains how they approached the problem like a research project, mapping conversations, decisions, and outcomes to uncover the variables behind success, scaling, and failure. While early assumptions leaned towards traditional machine learning and predictive analytics, the emergence of modern large language models accelerated their progress and reshaped the implementation, turning years of groundwork into leverage rather than redundancy. A key theme throughout the conversation is the reality of speed. Anthony and Tim explore how AI reduces the lag between ideas and implementation, making it possible to prototype quickly, gather feedback, and decide whether to pivot or kill an idea within days. They also offer a clear warning about “vibe coding” and AI wrappers: moving faster is only helpful if you can plan, evaluate, and understand what is happening under the hood, otherwise you risk doing the wrong thing faster. The goal is not endless experimentation, but sharper decision-making, clearer prioritisation, and better outcomes. Finally, Tim brings it back to founder psychology and leadership, sharing lessons that apply whether you are using AI or not. He emphasises that tough periods are moments in a business lifecycle, not a verdict on your identity, and that leaders must avoid becoming psychologically fused to the business. He advocates for falling back in love with the problem and the customer, staying open to the right support network, and embracing vulnerability with people who understand the journey. Backable’s mission reflects that belief, with a focus on helping founders feel “never alone, always ahead” while building the business that supports the life they actually want. #AIForSmallBusiness #Entrepreneurship #StartupLife #BusinessGrowth #AI #DevReadyPodcast #AerionTechnologies

Andrew Romeo, CEO and Co-Founder of Aerion Technologies and Co-Founder of DevReady.Ai, welcomes Jarren Pinchuck, Operations and Growth Executive and Advisor at Startmate, to the DevReady Podcast to unpack what it really takes to build and scale a startup. In this episode, Andrew and Jarren explore the practical lessons that sit behind successful growth, including customer-led product development, early-stage customer discovery, and how to hire for culture fit when every role can make or break momentum. Jarren shares his journey from South Africa into entrepreneurship, starting with an unexpected turn away from advertising after only six weeks and into hospitality. Working in restaurants taught him how to communicate under pressure, handle real-time customer feedback, and spot problems by listening closely to people. Those frontline experiences shaped his approach to business and product, reinforcing that the fundamentals do not change across industries: you must market and sell a service, retain customers through a strong experience, and earn referrals by consistently delivering value. That customer-first mindset carried into Jarren’s first tech product, which was born from a simple operational frustration in restaurants: the noisy, inefficient kitchen bell system. After seeing pager technology in the US, he identified a practical alternative for busy venues where staff could not hear the kitchen and distances made coordination difficult. He and his team introduced a hardware-led paging solution into South Africa, managed setup and basic programming as part of onboarding, and learned first-hand what it takes to translate a real-world workflow problem into a sellable product. The episode also covers the hard realities of early go-to-market execution. Jarren explains how being too early to market, combined with a low-volume sales approach and ongoing servicing demands, limited the business’s scalability. He reflects on missed opportunities to pivot sooner towards higher-need environments like food courts and takeaway, then outlines how he and his partner adapted by moving into a lease-style corporate coffee model built around servicing and recurring revenue through coffee bean distribution. His path later took him to London, where he worked in online gaming and casinos and gained deeper experience in technology, payments, platforms, and SEO-driven growth, before relocating to Australia. From there, Andrew and Jarren move into the core scaling topic: hiring the right people and building culture intentionally in a fast-moving startup environment. Jarren argues that people are the most important lever in any business, but especially in early-stage teams where the margin for error is small and misalignment can quickly derail product direction and customer outcomes. He shares a structured approach to hiring that assesses communication, curiosity, and cultural alignment alongside role capability, and he advocates for bringing engineers and product leaders closer to customers through habits like monthly customer show-and-tell sessions. The key takeaway is clear: strong internal communication and trust tend to mirror the customer experience, and the best startups stay customer-led by using discovery conversations and continuous feedback to shape the product from day one. #DevReadyPodcast #StartupAdvice #CustomerDiscovery #StartupHiring #CultureFit #ProductDevelopment #Founders

In this episode of the DevReady Podcast, Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.ai | AI-Powered App Planning for Non-Tech Founders , is joined by Karina Carter, Fractional Chief Product Officer and Leadership Coach. With over 12 years of experience spanning the United Nations, government research, startups and global tech companies, Karina brings a deeply practical perspective on modern product leadership. She shares insights from her journey into product management, her work building technology across complex markets like China, and her current role helping underperforming companies realign strategy, teams and execution. This conversation is essential listening for founders, product leaders and teams looking to build better software through strong product strategy, customer insight and disciplined decision making. Karina explains how transitioning from academic research at the UN into product allowed her to move faster, work directly with customers and turn data into action. Her experience running a venture studio in China required building bespoke technology to operate across the Great Firewall, giving her a unique perspective on solving complex problems in constrained environments. Today, as a fractional CPO, she is often brought into organisations that are struggling to perform, where she audits product strategy, uncovers misalignment and identifies untapped opportunities hidden in existing data. These discoveries frequently lead to new use cases and significant revenue growth without increasing team size. The discussion highlights how cultural context, data literacy and customer understanding are foundational to sustainable product growth. A core theme of the episode is Karina’s belief that better products do not come from bigger teams, but from people with a growth mindset and a sense of radical responsibility. She explains how she uses data to understand what is happening inside a product, then pairs that insight with deep customer conversations to uncover why it is happening. Customer interviews, she argues, are not about asking users what to build, but about understanding their real problems, fears and motivations. This approach allows product, design and engineering teams to focus on value rather than features. Anthony reinforces that most customers buy based on perceived value, not technical specifications. The conversation also explores why so much user research fails to deliver meaningful insight. Karina highlights how confirmation bias, inconsistent interview questions and poor research design often lead teams to hear only what they want to hear. She stresses the importance of structured interview frameworks, representative sampling and an understanding of cognitive bias when interpreting feedback. Together, Anthony and Karina explain why product teams should not overreact to the loudest customers, who are often a small and unrepresentative minority. Instead, feedback should be evaluated holistically, guided by a clear product vision, strategy and well defined OKRs, with every product decision treated as a hypothesis to be tested after launch. Finally, Anthony and Karina discuss the impact of AI tools like ChatGPT and vibe coding platforms on modern software development. While Karina supports experimentation and creative exploration using AI, she warns that these tools can accelerate poor decisions if foundational product thinking is skipped. They explore the risks of AI hallucinations, overreliance on automated analysis and the erosion of critical thinking in product teams. Both agree that AI is most powerful when used to support synthesis, competitor analysis and ideation, not as a replacement for human judgement. The episode concludes with a clear message that great products are built through disciplined discovery, thoughtful design and human insight, with AI used as an assistant rather than the decision maker.

AI is moving fast but what actually matters in 2026? In this finale episode of the 12 Days of AI Christmas series, Anthony Sapountzis (Aerion Technologies) and Gareth Rydon (Friyay) reflect on the biggest AI shifts of the past year and share what Australian businesses should really be paying attention to next. They discuss the rise of Google and Gemini, how AI advertising will be woven into content, why sovereign AI is becoming a serious priority, and why most businesses don’t need dozens of AI tools to get value. The conversation also explores why human creativity and real expertise will become more valuable as AI-generated content floods the internet, and how the global AI race between Google, Microsoft, OpenAI, and others is shaping the future. A grounded, no-hype look at what 2026 holds for AI, business, and work. Subscribe to the DevReady Podcast for practical conversations on AI, software, and building smarter businesses. #AI2026 #DevReadyPodcast #ArtificialIntelligence #AustralianBusiness #AITrends #Gemini #ChatGPT #FutureOfWork #Podcast

Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and Co-Founder of DevReady.ai | AI-Powered App Planning for Non-Tech Founders , is joined on the DevReady Podcast by Nikhil Singh, Co-Founder of AI2Easy and Co-Founder and CTO of Deciphr AI. With over two decades of experience in software development and startup growth, Nikhil brings a deeply practical perspective on how artificial intelligence is evolving inside real businesses. In this episode, Anthony and Nikhil explore the journey from early machine learning systems to modern AI workflows, unpack the realities behind AI hype, and share grounded advice for organisations looking to move beyond basic chat-based tools. Nikhil shares how Deciphr AI emerged from a personal frustration with long form content and the challenge of knowing what was worth deeper attention. Designed to semantically understand audio, video and large documents, Deciphr AI transforms content into summaries, quotes, blogs, show notes and social media assets. The discussion traces the technical evolution behind this capability, from early approaches using entity extraction, knowledge graphs and topic modelling to a hybrid architecture incorporating large language model APIs. Anthony and Nikhil also reflect on how concepts like neural networks, computer vision and APIs have existed for decades, even if recent infrastructure investment has finally made them accessible at scale. A key theme throughout the episode is that successful AI adoption depends far more on processes than tools. Nikhil explains how customer feedback revealed that most businesses need AI to integrate into existing workflows rather than operate as isolated SaaS products. Layering AI on top of CRMs, ERPs and internal systems requires clearly documented processes, strong operational foundations and realistic expectations. AI, like a new employee, must be trained and tuned to the business rather than expected to deliver instant results out of the box. Anthony and Nikhil also cut through the noise surrounding AI agents and automation trends. They note that most so called agent workflows in the market are still single agent systems with limited decision making, despite being presented as advanced multi agent solutions. True autonomous agents capable of planning, reasoning and executing towards a goal remain rare outside domains like software development and creative experimentation. The conversation also highlights the rise of shadow AI, where employees bypass official tools due to poor enterprise rollouts, reinforcing the need for secure, well implemented AI strategies rather than outright bans. The episode concludes with practical guidance for organisations ready to move beyond chat interfaces into full AI workflows. Nikhil emphasises the importance of defining clear metrics and outcomes, such as reduced reporting time or improved turnaround, before starting any AI initiative. He shares examples of high impact workflows in document heavy industries, where AI powered knowledge bases turn unstructured data into structured insights while keeping humans firmly in the review loop. The ultimate goal, as Anthony and Nikhil agree, is not replacing people but augmenting teams so they can focus on higher value, strategic work. #AIinSoftwareDevelopment #SoftwareEngineering #TechLeadership #AerionTechnologies #AIWorkflows #BusinessAI #Automation #DevReadyPodcast #ArtificialIntelligence

In this follow-up episode of the DevReady Podcast, Anthony Sapountzis sits down again with Bill Lennan, Founder of 40 Percent Better, to explore how AI is changing software development, tech careers, and business decision-making. Bill brings a grounded, executive-level view on what is working, what is not, and why the AI boom feels both exciting and unsettling for teams worldwide. Connect with Bill on LinkedIn for more of his thinking on leadership, technology, and practical innovation. Together, Anthony and Bill unpack what staying relevant in an AI-driven tech industry really requires, and why human skills remain central to future-proofing your career. They begin by tackling the rapid shifts happening across the industry and the myth that AI can already replace great engineers. Bill explains that while AI can speed up prototyping, high-quality software still needs experienced developers to review outputs for reliability, maintainability, and security. He also points to a growing adoption barrier that executives keep raising: the economics of AI remain unclear. Flexible and unpredictable operating costs make it hard for companies to plan return on investment, which slows rollout even when the technology looks promising. Anthony then shares what he sees in the wider conversation: founders celebrating “vibe coding” as if it removes the need for engineers, while developers warn about security risks and brittle code. Bill feels this debate echoes earlier technology waves like the early internet, where big ideas arrived before infrastructure, standards, and safeguards were ready. The pattern is familiar: early optimism, unexpected failures, then gradual maturity. Both agree that AI will improve and start prompting builders about security and trade-offs more like a senior engineer, but it will still need human judgement to align solutions with real user value. From there, the discussion moves into AI’s limits in human-centred work. Anthony argues that AI lacks emotional intelligence and empathy, which makes it unsuitable for roles that require care and context, such as nursing. Bill expands this to a broader point about data quality: AI reflects what humans have studied and published, and much of human behaviour research is narrow, culturally limited, or based on small sample sizes. That means AI can confidently generate answers that are incomplete or biased, and people’s tendency to accept written outputs at face value only worsens the risk through confirmation bias. Finally, they turn to career resilience. Bill urges people in tech, especially students, to build a broader skill set that includes communication, curiosity, and user-focused problem solving, because the market now has a surplus of programmers. AI may keep pushing coding up the abstraction ladder, but the ability to work with people, understand real needs, and lead collaborative teams will remain a competitive edge. They also touch on AI’s hidden energy costs, the learning downside of overreliance on tools, and even the value of practical life skills as a hedge against automation. The takeaway is simple: in a fast-changing AI era, soft skills and adaptability are not optional extras, they are the safest long-term investment. #DevReadyPodcast #AIinSoftwareDevelopment #SoftwareEngineering #TechCareers #AerionTechnologies #AIAdoption #VibeCoding #FutureOfWork

In this episode of the DevReady Podcast, host Anthony Sapountzis is joined by Kevin Surace, CEO and CTO of Appvance.ai and one of the original pioneers of voice AI and virtual assistants. Kevin’s work dates back to the early days of AI driven speech interfaces, and his career spans innovations in semiconductors, aerospace, building materials, cybersecurity, and generative AI. Together, Anthony and Kevin unpack how generative AI is reshaping the software development lifecycle, especially enterprise QA testing, and why AI literacy has become a defining advantage for developers and teams. Kevin begins by reflecting on his early role in building voice AI long before it became mainstream, and on how inventions can create unexpected ripple effects, including job displacement in customer support. He frames this not as a reason to slow innovation, but as a reminder that technology must be developed responsibly and used thoughtfully. Drawing on experience across semiconductors, aerospace, building materials, cybersecurity, and AI, Kevin positions curiosity and problem solving as the through line of his career. That mindset now drives AI-Driven Autonomous Software Testing Tools | Appvance ’s mission to automate end to end testing against business requirements, tackling one of the most expensive and disliked bottlenecks in modern software delivery. A central theme of the conversation is the hidden scale and cost of enterprise QA. Kevin explains that most organisations test only a small fraction of real user flows, often around 10 percent, because thorough coverage is too slow and costly for human teams. The result is that customers regularly uncover bugs in common scenarios that were never validated across the many states of complex applications. Appvance’s AI script generation tackles this gap by producing thousands of meaningful tests in hours and identifying the vast majority of defects, which Kevin argues will soon make AI the dominant force in regression and end to end testing. They also discuss resistance inside organisations, where fear of change can lead to quiet sabotage of AI tools, echoing the historical backlash against automation. From there, Anthony and Kevin broaden the lens to AI adoption across industries and business models. They note rising client scrutiny around pricing when AI is used, using the Deloitte Australia fake citation incident as a cautionary tale about choosing the wrong model and skipping basic human verification. Kevin stresses that AI value comes from pairing the right tool with expert oversight and points out that some models are far better than others at tasks like citation accuracy. He predicts that AI will keep pushing costs down towards near zero, making hourly labour based outsourcing models increasingly untenable, especially in QA and customer support. Appvance’s use of digital twins, instant simulation environments that generate scripts at machine speed before validating on real systems, is presented as a practical example of where autonomous testing is heading. The conversation closes on a pragmatic and motivational note about skills, productivity, and the future of work. Kevin argues that AI is not replacing good developers so much as accelerating what they already do, like adapting open-source solutions, and that the real differentiator is how well you can direct AI with clear context and outcomes. He cites productivity gains of around 55 percent for developers who embrace these tools and warns that entry level roles are shrinking unless graduates are genuinely GenAI literate. Anthony agrees, highlighting the lag in education and the risk of training people on outdated workflows. Their shared message is simple: AI will not take your job, but someone who uses AI expertly will, and the best way forward is consistent, curious, hands-on adoption. #DevReadyPodcast #AITesting #SoftwareQA #DigitalTwins #GenerativeAI #AerionTechnologies

Eric Neuman, Co Founder and CEO of Dotted, joins the host Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.Ai on the DevReady Podcast to explore the future of product management, AI driven strategy and enterprise decision making. Eric, whose background spans engineering, product leadership and multiple startup exits, has built a career at the intersection of technology and organisational efficiency. After formative roles at Amazon, Microsoft and Digital Domain, he founded Dotted to solve a challenge he experienced repeatedly in big tech: product managers drowning in communication, reporting and alignment work instead of focusing on genuine innovation. This episode is ideal for technology leaders, product managers, founders and anyone looking to understand how AI is reshaping strategic work, product delivery and enterprise culture. Eric reflects on his journey from childhood coder to serial founder, eventually discovering that his greatest value lay in product management. His time at Amazon revealed just how fragmented and decentralised large enterprise environments can be, where every visual element on Amazon.com. Spend less. Smile more. is treated as a standalone product owned by its own team. This scale creates a system driven not by strict processes but by persuasion, negotiation and meticulously structured documents. At Microsoft, he encountered similar challenges, where each team follows its own communication expectations and templates, making alignment far more complex than it appears from the outside. These experiences led Eric to build Dotted, an AI powered platform designed to reduce the heavy reporting load placed on product managers and strategic leaders. He explains that while AI has accelerated coding dramatically, most strategic work still exists in PowerPoint, Excel and manual status reports. Dotted aims to bring a continuous integration style workflow to strategic decision making, automating up to 90 percent of repetitive reporting tasks and generating virtual stakeholders that offer predictive feedback on documents before they reach real executives. This shift enables teams to focus on what truly matters: deciding what to build and aligning effectively across the organisation. Anthony and Eric also unpack the current AI landscape, arguing that many AI initiatives fail due to unrealistic expectations, poor understanding of the technology and misaligned use cases. They discuss the overlapping hype cycles of chatbots, agents and multimodal capabilities, as well as the rise of “vibe coded” software built quickly but without architectural discipline. While senior developers with AI tools can perform like entire teams, juniors and no code builders often produce fragile, inconsistent systems due to limited context and lack of foundational engineering practices. They expect AI assisted code quality checks and guardrails to become standard as development speeds continue to accelerate. Despite the rapid pace of AI driven execution, both Anthony and Eric reinforce that successful products still rely on focus, clarity and genuine business value. DevReady’s planning framework helps teams avoid building the wrong solution faster by defining the vision, requirements and outcomes before a single line of code is written. Eric compares today’s feature explosion to the fashion industry’s experimental eras, where possibilities grow faster than purpose. In the end, they agree that the products that win will be the ones grounded in real human needs, helping people save time, save money or create more value, rather than simply generating features for the sake of speed. #DevReadyPodcast #AIInnovation #AerionTechnologies #Leadership #AIinResearch #PaperLab #Automation #TechLeadership #ScientificDiscovery

In this episode of the DevReady Podcast, host Andrew Romeo, CEO and Co-Founder of Aerion Technologies, sits down with Tyler Lubben, Founder of Relentless Labs, to discuss how data, analytics and authentic audience insights are reshaping the future of marketing and sales. Tyler introduces the concept of audience intelligence, which focuses on analysing genuine online conversations across platforms like Reddit and TikTok, where people share their honest opinions and frustrations. By drawing from unfiltered discussions instead of curated professional personas, Tyler believes businesses can uncover deeper emotional drivers and more accurately predict market opportunities. Tyler explains how he uses Reddit as a key source of raw, authentic data to identify audience pain points and competitive gaps. He shares how he applies sentiment and language analysis to online comments and discussions to build marketing messages that resonate more naturally with real audiences. However, he notes the growing challenge of achieving authentic engagement in today’s noisy digital landscape, where platforms like LinkedIn have shifted from social interaction to self-promotion. Andrew agrees, observing that genuine conversations are rare online, making insight-led communication even more valuable. Expanding on this, Tyler details his data-driven outreach techniques, including personalised cold emails with embedded dashboards and AI-generated insights tailored to each recipient’s needs. Despite the technological sophistication, he acknowledges that breaking through the overwhelming digital noise remains a major hurdle. Andrew suggests that such audience and data insights can have greater impact when applied to targeted advertising, where audiences expect to see offers and are more open to engagement. The pair emphasise the importance of aligning data strategy with real-world communication to create meaningful marketing impact. Tyler also discusses his innovative use of podcasts as a marketing tool, creating targeted episodes that address specific industry pain points and using them as conversation starters rather than sales pitches. Yet, he highlights the difficulty of building genuine relationships in an era of constant cold outreach and overselling. Andrew contrasts this with the effectiveness of ad-based marketing, noting that people are more receptive when they choose to engage with a message rather than being approached unexpectedly. The episode closes with a look into Relentless Labs’ internal technology, designed to scrape and analyse online data for insights, particularly in the Amazon marketplace. Tyler outlines how this evolved into intelligent lead magnets that offer sellers competitive dashboards and tailored recommendations. Reflecting on past lessons from his earlier SaaS ventures, he stresses the need to balance technical innovation with market understanding and effective packaging. Andrew ties this back to Aerion Technologies’ own journey in AI-assisted software development, emphasising how contextual AI and strategic framing can transform both marketing and product development. Together, they highlight how blending creativity, analytics and human insight will define the next evolution of tech-enabled marketing. #DevReadyPodcast #AI #DataAnalytics #Innovation #TechLeadership #RelentlessLabs #AerionTechnologies #Podcast #MarketingIntelligence

In this episode of the DevReady Podcast, host Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.Ai, speaks with Antonios Meimaris, Founder and CEO/CTO of PaperLab. Antonios shares how his company is redefining AI in research by giving scientists and professionals tools to speed up innovation. PaperLab automates the labour-intensive process of literature review, analysing millions of academic papers to extract insights that traditional databases often miss. This breakthrough allows researchers to focus less on manual research tasks and more on experimentation and discovery. Antonios explains how PaperLab dramatically improves the efficiency of research and peer review by using advanced AI to analyse academic papers and complex data sources. Researchers can now process thousands of references in minutes, significantly reducing project timelines and improving the quality of their work. Beyond academia, PaperLab’s intelligent automation has broad applications in fields like consulting and law, where professionals must analyse extensive documentation. Unlike general-purpose AI tools such as ChatGPT or Gemini, PaperLab’s technology can accurately interpret formulas, tables, and technical structures, ensuring reliable and contextually accurate outputs that professionals can trust. At the core of PaperLab lies a custom-built AI system designed to process research documents securely and accurately. Rather than relying on off-the-shelf tools, PaperLab converts PDFs into markdown format, maintaining equations, special characters, and tables for precise understanding. Antonios explains that the platform integrates diffusion models and large language models (LLMs) to ensure both accuracy and depth of insight. Diffusion models refine data iteratively, mimicking how humans think and write by forming an idea and improving it over multiple passes. This enables faster, more accurate text and data processing while maintaining security, as all files are stored privately on PaperLab’s servers, critical for unpublished or sensitive research. Antonios’ passion for diffusion models began during his undergraduate studies in Greece in 2013, long before the explosion of AI tools like ChatGPT. His academic research focused on creating faster and more efficient algorithms without the need for extensive computing resources. He recalls how the release of Google’s 2017 “Attention Is All You Need” paper introduced transformer architecture, which revolutionised modern AI. However, Antonios believes the industry is reaching a scaling plateau, adding more data and compute power is producing diminishing returns. The next leap forward, he says, will come from smarter, more efficient AI frameworks that prioritise algorithmic innovation over brute force scaling. As AI adoption surges globally, Antonios urges business leaders to take a more strategic approach. He points out that most organisations should first establish strong automation processes before integrating complex AI systems. Both Antonios and Anthony highlight the risks of premature AI implementation, including higher costs, inefficiencies, and potential data security issues. They emphasise that not every problem requires an AI solution—sometimes, simple automation achieves better outcomes. As Anthony notes, using AI for basic processes is like “hiring Picasso to paint your walls”, technically possible, but an inefficient use of resources. Antonios closes by sharing his vision for PaperLab as a catalyst for global scientific progress. He hopes the platform will empower researchers to accelerate discoveries in fields such as healthcare, environmental science, and technology. By dramatically reducing the time spent on literature reviews and data processing, PaperLab enables scientists to focus on innovation and experimentation. Antonios envisions a future where AI not only enhances efficiency but also fuels groundbreaking advancements that change lives. As Anthony summarises, giving researchers better tools means accelerating the path to the next generation of breakthroughs. #DevReadyPodcast #AIinResearch #PaperLab #Innovation #ArtificialIntelligence #ScientificDiscovery #AerionTechnologies #ResearchAutomation

In this episode of the DevReady Podcast, host Andrew Romeo speaks with Matt Allen, Head of Capital & New Markets at Tractor Ventures, about building sustainable startups, navigating investment options and leveraging non-dilutive funding to scale responsibly. Matt shares his evolution from software engineer to angel investor and venture leader, exploring how modern AI-driven tools have reshaped his technical and financial perspective. He reveals how Tractor Ventures is helping founders grow without losing equity or control, redefining how startups fund long-term success. Matt began his career as a self-taught software developer in Sydney, running startups and a hosting company before moving into tech recruitment and later joining Amazon Web Services (AWS). At AWS, he supported founders through the startup and venture capital ecosystem, helping them scale with cloud infrastructure and early-stage resources. His entrepreneurial mindset, however, led him away from corporate life and towards creating something new, a journey that would ultimately lead to Tractor Ventures. Matt shares how his first successful investment in Xero gave him the foundation to become an angel investor, backing startups that built tools for developers. By connecting with startup communities and Blackbird Ventures, he learned that angel investing is about conviction, people and execution, not just technology or spreadsheets. He also realised that sustainable growth comes from founders who understand their customers deeply and can sell beyond their network, not from chasing “unicorn” valuations. Inspired by his time at AWS, Matt saw a gap for tech founders running profitable businesses that weren’t eligible for venture capital or bank loans. Tractor Ventures was built to bridge that funding gap, providing revenue-based, non-dilutive financing to founders with recurring income and high gross margins. Matt explains how Tractor’s credit engine analyses real business data to lend responsibly, helping founders scale without sacrificing ownership or personal assets. This model creates a new category of funding that sits between equity and traditional debt. Matt and Andrew discuss when startups should consider debt financing versus equity investment. Debt suits businesses with proven, predictable revenue streams, while equity is better for companies seeking rapid expansion in large markets. Matt advises founders to view customer revenue as the best source of capital, followed by grants and borrowing, since selling equity often dilutes ownership and slows growth. The key, he says, is building a profitable, sustainable business before chasing external capital. Modern founders, Matt explains, can blend debt and equity to fuel growth without over-reliance on either. Raising equity can take months and distract teams from building products or generating revenue, whereas private credit or revenue-based finance offers faster, flexible solutions. Matt urges founders to calculate the true cost of capital, considering how each choice affects control, growth speed and long-term outcomes. In closing, Matt highlights how interest rates directly influence startup funding cycles. When rates are low, investors chase higher returns through startups; when rates rise, safer investments like term deposits become more appealing, drying up venture capital. This affects both investor sentiment and founder confidence, reducing risk appetite across the ecosystem. Matt’s insights reveal how macroeconomic factors shape access to capital and underline the importance of resilient, adaptable business models. #DevReadyPodcast #MattAllen #TractorVentures #StartupFunding #SustainableGrowth #AI #SaaS #Founders #Entrepreneurship #AerionTechnologies

In this episode of the DevReady Podcast, host  Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.Ai, speaks with Leah Houston, Founder of evercred, about her remarkable journey from emergency medicine to healthtech entrepreneurship. Leah reveals how a case of identity theft and Medicare fraud exposed deep flaws in the medical credentialing system, sparking her mission to build a secure, AI-powered platform that eliminates friction and protects professional identities. Her decade-long medical experience gave her unique insight into the inefficiencies and risks of the existing 4–6-month verification process, inspiring her to leverage technology to transform how doctors manage credentials and compliance. After discovering that many other doctors faced similar issues, Leah harnessed her Silicon Valley network to design and build evercred, a platform that simplifies credential management and safeguards data integrity. Through an SEC-approved crowdfunding campaign, she raised capital from 600 physician investors, creating a community-driven approach to innovation in healthcare technology. Despite launching during the COVID-19 pandemic, Leah successfully led a distributed team, building evercred from concept to functional product while learning the fundamentals of software development and startup leadership along the way. Leah opens up about the hard lessons of her early startup journey, from hiring the wrong technical co-founder to rebuilding an entire product that was poorly architected. Comparing software development to “building a house without blueprints,” she and Anthony discuss the importance of planning, technical accountability, and recognising the difference between genuine full-stack expertise and overconfidence. Today, Leah’s team leverages modern tools like DevSwarm and PostHog, using AI-driven parallel development and analytics to accelerate delivery, ensure scalability, and gain real-time visibility into user experience. She also shares her first-hand experience learning to code through platforms like Cursor and Vercel, deepening her understanding of workflows, prototyping, and product communication.   As evercred grows, Leah remains focused on aligning technical innovation with business goals. She explains how the platform manages both medical and personal identification data under HIPAA-level compliance, with new features like advanced OCR for credential detection, expiry notifications, and upcoming AI-powered agent automation. Through practical analogies, such as Heinz’s multi-million-dollar investment in designing its iconic ketchup cap, Leah underscores the importance of knowing when to prioritise design, usability, and iteration. The conversation highlights how startups must balance ambition, design precision, and resource constraints while maintaining long-term strategic vision. Leah also reveals the broader mission behind evercred—to build a decentralised network of physicians that empowers doctors to collaborate, coordinate care, and receive fair compensation through direct payment engines and AI-enabled autonomy. Her long-term vision is to tackle the inefficiency of healthcare systems where up to 70% of funding is lost to waste and administration. By combining decentralisation, automation, and collective intelligence, Leah aims to redefine how healthcare operates, creating a transparent, efficient, and equitable future where physicians regain control of their data and their profession. #DevReadyPodcast #LeahHouston #evercred #AIinHealthcare #MedicalCredentialing #HealthTech #Automation #DecentralisedHealthcare #AerionTechnologies

In this episode of the DevReady Podcast, Anthony Sapountzisspeaks with Nikos Patsis, CEO of DisruptIQ, about his journey from engineering to AI entrepreneurship and building global technology ventures. Nikos shares insights from his studies at Harvard and his experience in financial innovation before founding VoiceWeb, one of the early pioneers in conversational AI. He discusses how he scaled his companies across 30+ countries, navigated investor challenges, and built adaptable teams. This conversation explores real-world lessons in AI innovation, startup funding, leadership, and sustainable business growth. Nikos began his career studying engineering at the National Technical University of Athens and later specialised in financial engineering at Harvard University. His research on exotic options pricing led to a role at a private equity fund in New York, where he applied his models to real-world investments. After gaining international experience in Bermuda’s financial sector, he returned to Greece to launch his ventures, including a successful mobile value-added services company across Central America. Eventually, his passion for technology and innovation led him to found VoiceWeb, a company that would reshape the future of customer service through AI. Founded in the early 2000s, VoiceWeb was one of the first companies to automate customer care using voice and chatbot technologies. The company worked with major banks and telecoms, transforming call centres through voice recognition long before AI became mainstream. Nikos reflects on the challenges of educating a sceptical market and how perceptions of automation have evolved. He also emphasises the need for governments and businesses to prepare for AI’s societal impact as the technology continues to accelerate globally. VoiceWeb’s commitment to local market understanding helped it expand into over 30 countries across Europe, the Middle East, and Africa, partnering with industry giants like Vodafone, Raiffeisen Bank, and MTN. Nikos explains how cultural sensitivity and adaptability allowed them to outperform larger competitors like Google and IBM. He also shares lessons from securing Series A funding, warning founders about the “time tax” that comes with institutional investors and the need to choose backers who offer strategic support rather than just capital. Nikos distinguishes between passive investors and operational VCs: those who bring value through experience, networks, and practical guidance. He stresses that scaling from 0–1 is very different from scaling from 1–3, and operational expertise can make or break a company’s growth. As an investor himself, Nikos looks for teams who build businesses, not just products. He believes that successful startups combine strong distribution, cultural intelligence, and the ability to adapt quickly to changing markets. To close, Nikos offers actionable advice for founders navigating today’s competitive talent market. He advocates hiring based on results rather than résumés, setting clear performance milestones, and making fast decisions when hires do not work out. Loyalty, he warns, cannot replace competence. Poor hiring decisions can weaken culture, reduce morale, and hinder scalability. For Nikos, the foundations of long-term success are decisive leadership, outcome-driven teams, and a clear focus on business results. #DevReadyPodcast #AIInnovation #StartupGrowth #Leadership #Entrepreneurship #DisruptIQ #VoiceWeb #AerionTechnologies #AI #Founders #TechLeadership

In this AI Roundup episode of the DevReady Podcast, Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.ai | AI-Powered App Planning for Non-Tech Founders , is joined by Gareth Rydon, Co-Founder of Friyay.ai, to explore how artificial intelligence is reshaping creativity, collaboration and productivity. Together they discuss OpenAI’s Sora app, the future of AI filmmaking, the evolution of AI assistants like ChatGPT, Claude and Gemini, and how teams can integrate AI more effectively. This episode offers actionable insights for creators, developers and business leaders looking to embrace the power of AI tools in smarter, more intentional ways. Anthony and Gareth begin by examining the cultural impact of OpenAI’s Sora app, which has sparked a flood of low-quality, AI-generated videos across social media. Gareth calls this “AI slop”, highlighting the danger of creativity being replaced by noise and spectacle. Anthony likens it to “TikTok at its worst”, questioning whether such platforms can sustain meaningful content or ethical monetisation. Both agree that while AI tools can unlock creativity, their true potential lies in empowering skilled creators and storytellers rather than fuelling superficial trends. The discussion turns to how AI could make filmmaking more accessible to creators with big ideas but limited resources. Gareth believes AI will open the door for new creative voices, while Anthony notes that truly exceptional work will still stand out. They reference OpenAI’s $10 million investment in an AI-made film, debating whether it will be seen as “an AI-made film” or simply “a great film that happens to use AI.” Both agree the future of AI in creative industries depends on how well these tools integrate into authentic storytelling and artistic expression. Gareth and Anthony explore the evolution of AI assistants across major tech platforms. Gareth discusses Apple’s upcoming Apple Intelligence update that connects Siri to ChatGPT, while Anthony notes Microsoft’s integration of Claude into Copilot, showing a clear trend toward flexibility and model diversity. They also unpack the latest ChatGPT Teams features, praising its project-sharing improvements but highlighting the ongoing lack of true team collaboration. For AI to thrive in enterprise environments, they argue, it must evolve from personal tools to shared digital teammates that enhance productivity and transparency. Anthony and Gareth dive into OpenAI’s Agent Builder, assessing its impact on existing automation platforms like n8n, Zapier and Make. Gareth stresses that learning how to design and optimise workflows is more valuable than jumping from one platform to another. They discuss combining AI agents with simpler automations to improve reliability and debugging. The pair also touch on voice-driven workflows using tools like WhisperFlow, praising its creative potential but acknowledging privacy considerations. Their advice is clear: the future belongs to those who understand processes, not just prompts. Gareth shares his daily “AI stand-up” ritual, where he briefs tools like Claude, Gemini and Activity to plan his day before team meetings. This structured approach helps him maintain focus and efficiency. Anthony compares it with his own spontaneous use of AI and introduces ChatGPT Pulse, a new feature that proactively updates users on ongoing tasks. They explore how AI is moving from reactive to proactive assistance, signalling a shift toward intelligent automation that anticipates user needs. In the final segment, Gareth explains how prompting styles should adapt to different contexts. When using AI within apps like Google Sheets or Docs, he recommends being more precise and task-specific, treating AI as a contextual assistant rather than a general chatbot. Anthony shares his “keyword-first” prompting strategy, shaped by years of expert Googling, and praises its clarity and speed. Together, they discuss how voice feedback tools such as WhisperFlow improve real-time collaboration, and they highlight the need for better task management in AI platforms. Until then, Anthony uses Trello as a practical workaround to keep track of open AI projects. #AIConversations #AIPodcast #ArtificialIntelligence #Automation #AIWorkflows #DevReadyPodcast #AerionTechnologies

In this episode of the DevReady Podcast, host Anthony Sapountzis sits down with Joe Woodham, CEO and Founder of Torii Consulting. Joe shares his entrepreneurial journey from door-to-door sales and recruitment to building one of Australia’s leading UX and service design consultancies. He reflects on the lessons learned from failed ventures, like importing kitchen sinks from China, and how he leveraged those experiences to successfully pivot into recruitment and later into human-centred design. Today, Torii Consulting partners with some of the biggest enterprise brands in Australia, including Australia Post, NAB, Telstra and Coles, helping them improve digital experiences, streamline customer journeys, and maximise ROI through thoughtful design. Joe explains how his recruitment business evolved into a consultancy by spotting gaps in the market and staying ahead of industry trends. Unlike large consultancies that dominated the development space, he recognised that design remained relatively under-served and offered opportunities to deliver more tailored value. By building strong connections and maintaining a people-first approach, he positioned Torii as a specialist in UX and service design. He emphasises that design is not just about aesthetics but about improving usability, reducing friction, and creating digital products that deliver measurable business outcomes. A key theme in this conversation is how poor design drives dependency on customer support and chatbots, while great design eliminates these problems entirely by enabling users to self-serve. Joe illustrates this with examples such as Amazon’s one-click purchase, which removes friction in the buying journey and boosts conversions at scale. He contrasts the rapid but often short-sighted approach of startups, which rush products to market without sufficient design research, with enterprises that eventually circle back to fix these gaps. Both he and Anthony agree that designing upfront is far more cost-effective than retrofitting fixes later in the process, which is also the foundation of the DevReady methodology. The discussion also explores the role of AI in design and product development. Joe highlights how many enterprises treat AI as a tick-box exercise, adding tools like chatbots without a real strategy or measurable value. To address this, Torii Consulting has partnered with Gen AI Labs to provide AI-led training for design teams, giving them the knowledge and confidence to integrate AI effectively into workflows. He argues that without training and proper adoption, businesses risk falling behind, as employees cannot deliver meaningful results with AI. This focus on education, accessibility, and adoption reflects Torii’s commitment to preparing both enterprises and smaller businesses for an AI-first future. Finally, Joe shares how he personally keeps up with the pace of AI innovation by actively learning, experimenting, and cascading insights to his team. He acknowledges that resistance to change is common but stresses the importance of fostering a culture of continuous upskilling. Anthony reinforces this point by describing his own approach to consuming hours of AI content each week and using automation to share key takeaways with his team. Together, they underline the urgency for businesses to adopt AI thoughtfully and train their teams effectively. Torii Consulting’s strategy of evolving with SMEs and scale-ups ensures they stay ahead of enterprise adoption cycles, positioning themselves as trusted partners when larger organisations inevitably accelerate their AI adoption. #DevReadyPodcast #UXDesign #AI #HumanCentredDesign #Entrepreneurship

In this episode of the DevReady Podcast, host Anthony Sapountzis welcomes Emma Lo Russo, CEO of Digivizer and Founder of goto.game, for a candid conversation about AI marketing, the creator economy and sustainable growth. Emma shares how Digivizer helps brands measure and improve performance across social, search, web, organic and paid channels for clients including Lenovo, Barilla, and major banks. She also explains how goto.game helps endemic and non-endemic brands build authentic engagement in gaming and esports communities. Emma traces her journey from senior corporate marketing roles to building data-driven businesses. She highlights Twitch as a rare live medium where creator-led, long-form streams cultivate loyal audiences, noting that genuine influence cannot be scripted or bought. The lesson for marketers is clear. Work with creators as partners, respect their voice and lean into improvisation and roleplay that audiences return to week after week. Emma then unpacks the leap from corporate to founder. As social, mobile and cloud converged, she saw a gap for real-time digital insight, completed an MBA to rebuild her Australian network and applied every subject directly to the venture. Early traction followed. A $1.5 million Sensis contract, focus on Digivizer and a $2.1 million raise off her MBA strategy paper helped the company serve B2C and B2B brands at global scale. Emma and Anthony compare founder realities with salaried certainty. Launched in 2010 among 87 local social analytics startups, Digivizer is one of two that remain from that cohort, with Local Measure acquired by Zendesk and Digivizer continuing as the independent survivor. Culture, hiring and the ability to sell into enterprise became foundations for growth, while Emma echoes Mike Cannon-Brookes’ advice that financial pressure never stops, it simply scales. On funding, Emma prioritised control and customer value over reporting theatre. She raised selectively, provided investors read-only access to Xero for transparency and kept conversations focused on advice that moved the business forward. That discipline underpinned profitability and self-funded growth through changing market cycles, from growth at all costs to today’s profit first reality. Looking ahead, Digivizer is growing at around 30% year on year and expanding a hybrid model of SaaS reach plus agency expertise, supported by top-tier partnerships such as LinkedIn Marketing Partner in Australia and premier badges across Google, Meta, Amazon and Microsoft. Emma sees AI opening new possibilities but says winners will combine AI with human storytelling that is authentic, contextual and useful. Measure everything, learn what resonates and double down on content, formats and timing that create real value. #AIMarketing #DigitalMarketing #Leadership #SaaS #CreatorEconomy #EsportsMarketing #DataDriven #ScaleUp

In this episode of the DevReady Podcast, host Anthony Sapountzis sits down with Joni Pirovich, Founder of Crystal Agentic Operating System and Australia’s specialist crypto law firm B’DASL (Blockchain & Digital Assets: Services + Law), to unpack how blockchain is moving from speculation to real utility. Joni explains where stablecoins, DeFi and tokenisation fit, why regulation and licences matter, and how Crystal reduces the compliance burden so individuals and enterprises can safely participate. In this episode, expect clear examples from Australia and abroad, plus practical insight into self-custody, institutional adoption and the road to mainstream. Joni outlines why stablecoins matter for faster, lower cost payments and why self-custody appeals to users who want control, while acknowledging that responsibility and security still sit with the individual. She contrasts slow, fee-heavy banking rails with near-instant settlement on chain, and counters the “speculation only” narrative with real use cases such as automating governance, security reviews and company procedures across open protocols that already process significant transaction volume. Regulatory uncertainty has slowed this progress, but US-led clarity is emerging and other jurisdictions are following with clearer rules of the road. In Australia, first-wave crypto ETFs have opened exposure for brokers, super funds and everyday investors, while DeFi lets users connect a wallet to aggregation and investment protocols to automate asset management and routing. Locally, corporates are beginning to add Bitcoin to treasuries, and standout projects include Immutable in gaming and Synthetix in DeFi. At the same time, stricter licensing has pushed some builders offshore to crypto-friendly regimes, a pragmatic move until domestic frameworks catch up. Tokenisation is gathering pace, from fractional property exposure to real-world assets more broadly. Joni explains why Dubai is further along, whereas Australia still contends with stamp duty, land tax, CGT and state-based land titles. For teams seeking to launch at speed, she points to Cayman Islands, BVI, Panama, Isle of Man, Gibraltar and Malta, while EU pathways allow firms to obtain a crypto-asset licence and passport across Italy, France, Germany and Portugal. Switzerland remains a long-standing, crypto-friendly hub, albeit with higher costs. Looking ahead, Joni’s vision is simple. Crystal Agentic OS becomes a daily companion that surfaces your crypto activity, highlights value-aligned communities and recommends compliant actions that could improve outcomes. Her thesis is that every business will become a crypto business and most online actions will create tokenised value, which brings tax and reporting obligations that Crystal abstracts away. Built first for her own workflow after a decade advising in crypto, Crystal is now being shared so users can enjoy innovation without the compliance headache. The mainstream moment is still ahead, and better UX, clearer regulation and trusted automation are what will unlock it.   #DevReadyPodcast #AerionTech #JoniPirovich #CrystalAgenticOS #BDASL #Web3 #CryptoCompliance #Stablecoins #DeFi #Tokenisation #RWA #SelfCustody

In this episode of the DevReady Podcast, host Anthony Sapountzis interviews Bill Lennan, Founder of 40 Percent Better, on how communication, coaching and business first engineering drive real outcomes, including 40 percent team turnarounds. Bill unpacks practical tactics to prioritise the right problems, align stakeholders and win executive buy in, from tiny habits that help engineers speak up to tailored pitches that secure budget for tools and training. He explains why cross functional discovery with sales and support beats the telephone game, how side projects accelerate learning and how giving teams ownership improves delivery and morale. Listeners will take away a clear, teachable framework for happier, higher performing engineering teams that build the right product faster. Bill charts a 30-year journey in Silicon Valley, moving from cold-call sales into engineering at 32 and shipping code within six months. His guiding principle is simple and powerful: prioritise the business problem over the tech stack. Drawing on a coaching culture from fine-dining, he shows how peer coaching across the team lifts happiness and output and why hiring for problem-solving and design thinking outperforms chasing specific frameworks. Anthony and Bill explore how passion and side projects compound learning, with insights from documentaries and other fields often sparking better solutions. Bill openly shares how he overcame severe social anxiety using tiny, incremental habits, then taught the same method to hundreds. The message is clear: communication is a core engineering skill. Silent brilliance stalls careers; great products emerge when engineers collaborate, verbalise ideas and contribute beyond code. To build better products, Bill advocates back-channel conversations across the organisation, from sales to support, to collect unfiltered signals that rarely travel cleanly through layers of management. By socialising ideas early, incorporating feedback and building allies, he secures executive buy-in and genuine team ownership. Even inside large silos, deliberate outreach across regions surfaces the right inputs faster than waiting for the chain of command, while Agile administration remains light enough to leave time for this essential discovery work. Anthony outlines the DevReady philosophy: understand the business, solve root causes rather than symptoms and agree value before touching code. Bill agrees that upfront homework matters, yet he also shares a green-field story where scrappy prototyping proved value quickly, from an early “snow cam” on dial-up to real-world social proof at ski resorts. His turnaround playbook combines upgraded mental models, emotional resilience to take high-leverage actions and tailored communication that speaks to each audience’s success metrics. The result is teams that win budget, choose impactful projects, systematise habits and sustain performance improvements, including a 40% lift in throughput in just six months. #EngineeringLeadership #DevReadyPodcast #SoftwareEngineering #TeamPerformance #Communication #CoachingCulture #ProductStrategy #Startups #TechLeadership #AerionTech

In this episode of the DevReady Podcast, host Anthony Sapountzis sits down with Maarij Qureshi, Founder of Simplify Sales and host of Simplify Success, to unpack a practical, trust-led approach to B2B lead generation on LinkedIn. Maarij’s agency helps service businesses land £24k–£80k+ retainers and book 5–10 meetings a week, often within days, using his simple “3-DM” framework. From face-to-face sales and building a 40-person team to a rapid online pivot after COVID, Maarij blends proven sales systems with personalised outreach that actually gets replies. Anthony shares Aerion Technologies’ journey from a university start-up to a team of six in Australia and 40+ in Nepal, highlighting how the business relied on referrals for 17 years before switching on paid ads and seeing steady inbound enquiries. He outlines today’s client acquisition reality: anchor long-form content (like this podcast) repurposed into short-form clips for LinkedIn, TikTok, Instagram and YouTube now outperforms text-and-image posts. The aim is to stay top of mind with helpful, consistent content while widening reach beyond the immediate network. Trust sits at the heart of effective outreach. Consultants are inundated with sales DMs each week, so formats that build trust quickly (podcasts, white papers and useful posts) cut through the noise. DevReady itself is a networking engine and content flywheel: clear guest prep, automated follow-ups and streamlined show-note collection make the process repeatable and respectful of everyone’s time. The result is meaningful connections, direct client wins even from a modest audience, and compounding learning across 250+ episodes. Maarij breaks down the 3-DMs framework: start with a short, profile-specific “this or that” question; follow with a message that acknowledges, relates and asks a quick follow-up; then make a value-first ask such as sharing a relevant win, inviting someone to a white paper interview, or offering a podcast spot. This human sequence lowers defences and delivers about 4% conversion from connections sent (around 8–10 meetings per 200 requests, roughly 40 a day in two hours). Anthony contrasts this with DevReady’s direct podcast invitations on LinkedIn, which convert at roughly 10% because there is no sales pitch, just a genuine invitation to talk. Looking ahead, Maarij talks about how Simplify Sales is evolving into a fractional CRO partner for companies at £3m+ revenue, adding cold email, content creation and editing, and full-funnel systems, sequenced as outreach for speed, then content and SEO plus brand, and finally paid ads once positioning is dialled in. Clients have grown 3–4× in a year, thanks to rigorous SOPs and a focus on ideal-fit prospects over spray and pray tactics. In parallel, Aerion is developing the next version of its platform with deeper automation and AI agents to further streamline delivery. Across the discussion, one theme stands out for SEO-savvy B2B growth: personalisation beats automation, be human, be useful, and your pipeline will follow. #LinkedIn #B2B #LeadGen #Sales #DevReadyPodcast #AerionTechnologies

In this week’s DevReady Podcast, host Andrew Romeo, CEO & Co-Founder, Aerion Technologies, sits down with David Werdiger, Executive Coach with Asian Leadership International Executive Coaching, author, entrepreneur, and adviser to SMEs on intergenerational wealth transition, governance, and strategy. David shares lessons from growing up in a family business to building scalable tech, the power of founder-led sales, and how governance turns ventures into valuable, transferable assets. Themes include moving from “owning a job” to owning a business, advisory boards and CEO autonomy, values-driven decision-making, and David’s Time Purpose Map for balancing work and life. David’s journey begins in his family’s textile business, shaped by a strong provider ethic and community leadership. Strong in maths and computing, he validated himself outside the family by becoming a quant analyst in stockbroking before pivoting into software. During mid-90s telco deregulation he built a telecommunications billing system, shifted to owning the IP, and pioneered a revenue-share leasing model, an early SaaS approach that delivered recurring revenue and better customer fit. Listening to cash-constrained start-ups informed flexible pricing and roadmap decisions, and a later partnership path led to a telco that reverse listed on the ASX. Andrew and David explore why founder-led sales often outperform hiring a BDM, particularly for complex products. Acting as owner-seller let David make real-time decisions, architect solutions on the spot, and avoid script-driven mis-selling, while acknowledging the productive tension between sales and dev. Influenced by Rich Dad, Poor Dad and Gerber’s E-Myth, he reframed success around systems and clarity of purpose, anchored by the pivotal question, “What is the business for?” Without that clarity, founders risk burnout through overstretch, juggling ventures, boards, and family, rather than building a scalable enterprise. Facing growing pains, a failed partnership, and clashes with a general manager, David chose to step back properly by establishing an advisory board, elevating the GM to CEO, and setting clear delegations and boundaries. “Don’t buy a dog and bark yourself” became the operating principle. Monthly board rhythms matured the firm into a “grown-up” business that now consumes roughly 10% of his time, enabling space for health, study, and a Masters of Entrepreneurship & Innovation (Swinburne). From this phase emerged the Time Purpose Map (a 2×2 of active/passive and for-profit/non-profit) and a commitment to contribute time, talent, and treasure, not just capital. Today, David coaches multigenerational families on values, mission, purpose, governance, and building a rigorous family charter. As an external facilitator he helps shift conversations from the “kitchen table” to a disciplined, respectful forum with a clear code of conduct so every voice is heard and conflict is handled constructively. He notes repeating patterns, including money as a proxy for power, the primacy of relationships and time as true wealth, and the importance of setting values-based red lines by asking, “What would we not do?” The episode closes with a practical takeaway for founders and leaders alike, namely to align personal and business goals, because if you do not know where you want to go, any road will do. #DevReadyPodcast #Leadership #RecurringRevenue #FounderLedSales #Governance #FamilyBusiness #ProductStrategy #SaaS #ScaleUp #AustraliaTech

On this episode of the DevReady Podcast, host Anthony Sapountzis speaks with Gareth Rydon, Co-Founder of Friyay.ai, about why most organisations should stop building AI agents and start briefing them properly for safer, more reliable results. They cover human in the loop controls, secure login checkpoints, prompt injection risks, how to monitor agent behaviour, when simple workflow automation beats a free roaming agent, and practical tool choices across Claude, Copilot, Gemini and ChatGPT. The discussion begins with the rapid rise of pre-built agents in tools like ChatGPT and the parallel increase in risks. Rather than handing over passwords and hoping for the best, Gareth recommends explicit checkpoints, for example pausing at log-ins so a human enters credentials, and monitoring early runs to see which sites an agent visits and why. Anthony adds a security lens, noting spoofed pages, homograph domains, and other phishing traps that emerge when browser agents roam the web. Both advocate a human-in-the-loop approach that balances capability with oversight, especially for sensitive tasks. They then explore when not to use agents. For repeatable processes such as content pipelines, a simple workflow often beats a free-roaming agent on cost, speed, and reliability. Anthony cites scraping projects where agent costs ballooned, while Gareth shares a LinkedIn workflow that runs on lightweight steps in a shared sheet, with research, condensing, tone-of-voice prompts, and human review. This approach is easier to debug, avoids the variability of large models, and delivers predictable ROI for marketing and operations teams. On talent and skills, Gareth acknowledges that roles will change and some jobs will go, yet the best response is to upskill and let AI amplify existing strengths. Drawing on examples from law and creative work, they note that experts using AI are busier than ever because they combine judgement with acceleration. Anthony cautions that DIY builds can hide structural issues such as empty databases or non-functional features, which is why domain knowledge and clear instructions still matter. The takeaway is simple: AI raises the floor and the ceiling; invest in skills, keep humans in the loop, and choose pragmatic workflows over hype. Finally, they assess today’s tool choices. The uplift from recent model shifts feels modest compared with the collaboration gap, where shareable projects and team workflows remain the blocker. Gareth sees strong enterprise adoption of Claude and advises buyers not to default to Microsoft Copilot or ChatGPT by habit. Instead, run a one-week bake-off with Claude, ChatGPT, and Gemini, compare security posture, collaboration features, and day-to-day usability, then standardise on the platform that fits your organisation. The goal is faster, safer collaboration rather than chasing headlines. #DevReadyPodcast #AIAgents #HumanInTheLoop #AISecurity #PromptInjection #WorkflowAutomation #EnterpriseAI #ClaudeAI #ChatGPT

Luke Chaffey, Managing Director of AIWise, joins host Anthony Sapountzis (CTO and Co-Founder of Aerion Technologies and Co-Founder of DevReady.ai | AI-Powered App Planning for Non-Tech Founders ) in this episode of the DevReady Podcast to unpack how small and medium-sized enterprises can turn AI from hype into business value. From early chatbot and augmented reality experiments to production-ready automation, Luke shares practical lessons on strategy, tooling and evaluation frameworks that keep outputs accurate, consistent and on brand. Expect real examples: cutting document creation time, prioritising high-value leads, and natural-language product search, plus a simple roadmap to get started with AI today. Luke charts his journey from web development to co-founding Capillary Digital with David Koch, then into startups building AR, AI and chatbots for international clients before launching AIWise. Early prototypes paired AR “place-in-room” visualisation with AI trained on product data to answer questions and support sales, an approach that saw stronger uptake in the U.S. than Australia. Alongside hands-on tech, Luke built authority with 400+ articles and frequent media appearances, emphasising how writing and communication skills accelerate technical leadership and client education. Inside AIWise, the playbook starts with clarifying strategy and a roadmap, then moves to implementation (or hand-off to internal dev teams) and leadership training. For automation, Luke mixes code and no-code: Python for control, reliability and richer state handling; Make (and, for developers, n8n) for fast proofs-of-concept that clients can self-manage. The north star is embedding AI directly inside core systems and workflows, shipping quick wins via no-code where sensible, then migrating in-house for scale, orchestration (containers, agents) and long-term maintainability. On common missteps, Luke sees SMEs either assuming AI is “only for big companies” or dabbling without context. The remedy is to start hands-on with models like ChatGPT or Gemini, provide rich business context, and then rigorously validate outputs. He warns about hallucinations and “sycophantic” responses; best practice includes cross-model checks, human fact-checking in unfamiliar domains, and a robust evaluation framework that bulk-tests answers for factuality, tone and correct source use—crucial for customer-facing chatbots. Results follow when AI targets repeatable work: prioritising referral conversations so teams focus on high-value customers; turning bullet points into polished job descriptions in seconds; and compressing a tax report workflow from eight hours to two by auto-drafting the repeatable 80%. For newcomers, Luke suggests a simple path: start with ChatGPT for everyday tasks (emails, briefings, document drafts), then add no-code automation with Make to streamline processes; explore off-the-shelf tools (e.g., voice with ElevenLabs) before going bespoke. When needs grow, engage experts to productionise and integrate so AI delivers reliable, measurable outcomes rather than one-off experiments. #AI #Automation #SMEs #SmallBusiness #ChatGPT #Gemini #Makecom #n8n #Python #Ecommerce #AugmentedReality #DevReadyPodcast #AerionTechnologies #LukeChaffey #AIWise

In this episode of the DevReady Podcast, host Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies, speaks with Ryan Zahrai, Founder of Zed Law, a cutting-edge legal and advisory firm built for fast-growing startups and ambitious scale-ups. Over the past 18 months, Zed Law has achieved 10x growth by bridging a key gap in the market by delivering agile legal services and strategic corporate advisory to clients who have outgrown the startup hustle but find traditional mid-tier law firms too slow and bloated. Beyond legal work, Zed Law supports clients with venture capital fundraising, debt financing, and market entry strategies, even investing directly in early-stage companies. With a founder-first, synergy-driven approach, Ryan and his team have cultivated a thriving network of bootstrapped and mission-led entrepreneurs who value speed, collaboration, and results. Ryan’s unconventional legal career journey began in top-tier Australian law firms, took him to Israel for a global in-house legal role, and later into the private equity-backed healthcare sector. Working closely with CTOs, startup founders, and business leaders shifted his perspective on intelligence, challenging the legal profession’s over-reliance on academic credentials. He discovered that innovation in law often comes from those who think differently and operate outside rigid structures. This led Ryan to abandon the billable hour model, which he views as inherently limiting, in favour of tech-enabled legal solutions that deliver scale, efficiency, and greater client impact. The discussion also explores the surge in venture capital investment driven by AI FOMO (fear of missing out). Ryan compares the trend to the crypto boom, with companies repositioning themselves or launching niche AI products to attract investors; with some securing funding without even an MVP. He envisions the future law firm as a small, expert legal team supported by hundreds of AI agents, from M&A specialists to contract drafting bots, enabling unprecedented efficiency. Anthony and Ryan also discuss the AI talent war, where top engineers are being courted with bonuses and salaries comparable to elite sports transfers. AI’s transformation of the legal industry is already evident through platforms like Harvey – Professional Class AI , Crosby AI, and Veraty, Zed Law’s chosen partner for delivering AI-first legal services. Veraty’s platform resolves about 75% of legal queries via AI, with optional human lawyer verification for added accuracy. Ryan believes that AI already outperforms many mid-tier lawyers in efficiency and accuracy, much like how AI in healthcare has surpassed human performance in early-stage cancer detection. He predicts that while AI will dominate routine legal tasks, the optimal model will remain AI plus human oversight. He also outlines how AI will reduce demand for junior lawyers and paralegals, with fewer traditional entry roles but greater opportunities for those skilled in AI tool mastery and output verification. As the episode closes, Ryan emphasises the importance of business agility in the AI era. He urges small and mid-sized firms to review strategies quarterly, run market tests, and pivot quickly based on early data, warning that failure to adapt will lead to being left behind. In contrast, large, inflexible firms often struggle to change at the necessary pace. Ryan’s key takeaway is clear: whether you’re in law, technology, or any AI-impacted industry, regular strategic adaptation isn’t optional; it’s the only path to long-term success. #DevReadyPodcast #RyanZahrai #AIinLaw #LegalTech #Startups #FutureOfWork #VentureCapital

In this episode of the DevReady Podcast, host Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies, welcomes Michael Meyer, Founder & CEO of M31 Consulting, for a thought-provoking conversation on digital leadership. Michael brings nearly three decades of experience across infrastructure, data, and software, with a mission to help business leaders reframe how they lead in a world increasingly defined by the virtual. As the author of Weird Is the New Normal, Michael blends imagination, strategy, and storytelling to empower leaders navigating complexity, digital disruption, and the rise of artificial intelligence. Michael reflects on his journey from help desk support in the ’90s to executive leadership and consulting, unpacking how value creation has shifted from physical assets to soft assets like intellectual property, speed, and adaptability. He challenges the outdated perception of IT as a cost centre and urges businesses to harness the full power of their tech teams. Using the example of visionaries like Steve Jobs, Michael highlights the value of conviction, curiosity, and the ability to interpret a world we can’t always see: a world that operates through screens, data, and distributed systems. Drawing rich parallels with fantasy narratives like The Lord of the Rings, Michael explains how leadership in the digital economy often mirrors an unpredictable quest. He explores how traditional organisations struggle with black-box decision-making, siloed departments, and missed opportunities, often because leaders unknowingly give away their power when delegating technology decisions. Using powerful metaphors like steamboats navigating rapids, Michael reframes digital transformation as something that must be both imagined and steered. His call for stronger digital leadership literacy is a reminder that technology alone isn’t enough and humans must lead it with clarity and intent. Michael also cautions against the dangers of hype-driven adoption, particularly with AI. He shares a sobering real-world example of a company laying off 700 employees after poorly implementing AI, only to rehire many of them after realising the damage caused by rushed, uninformed decision-making. Rather than chase trends, he urges organisations to focus on empathy, systems thinking, and long-term human value. Tools like Scrum, he argues, offer transferable frameworks for adaptability and should be applied beyond tech into broader organisational strategy. As the episode wraps, Michael offers leaders a lasting mantra for navigating this uncertain and ever-changing world: “Be curious. Be weird.” Curiosity, he says, unlocks growth and drives innovation. In an era where AI can generate code but not lead people, and where unexpected consequences are the norm, embracing our own weirdness and asking better questions is more valuable than ever. If you’re a business or tech leader grappling with the fast-moving digital world, this episode will challenge your thinking and leave you inspired to lead differently. #Leadership #AI #DevReadyPodcast #WeirdIsTheNewNormal #MichaelMeyer #TechStrategy #AerionTechnologies #DigitalLeadership

In this episode of the DevReady Podcast, Anthony Sapountzis is joined by Louise Bedford, an acclaimed financial educator, author of six bestselling books and entrepreneur, best known as the founder of  Trading Game and host of the Talking Trading podcast. With a background in corporate finance and early experience running her own business, Louise has dedicated over a decade to mentoring traders across the globe, helping them develop the discipline and systems needed to thrive in the share market. Her unique blend of self-development, structured planning and real-world trading experience has empowered thousands to approach investing with confidence and clarity. Louise’s journey into trading began at just 20 years old, sparked by a seminar that outlined three paths to wealth: property, business and shares; and led her to choose the share market for its flexibility and potential income streams. Her first three years were emotionally turbulent: repeated losses, tears and moments of self-doubt taught her that success on the market demands a calm mindset and a rigorous trading plan. Drawing on lessons from a failed early business, she learned the importance of responsibility, clear communication and a structured approach, principles that now underpin her mentoring programmes. Central to Louise’s philosophy is the construction of a bullet-proof trading plan built on three pillars: precise entry criteria, disciplined exit rules and sensible position sizing. She explains that short-term trades span hours to days, medium-term trades last weeks to a year, and long-term positions can endure for years, with automatic contingent orders and stop-losses set on the broker’s platform to free traders from constant screen monitoring. Louise also champions ETF and index strategies for instant diversification and an inherent upward bias, while advising traders to maintain a day job during their early market endeavours to preserve financial freedom and reduce emotional pressure. Louise and Anthony explore the role of AI as an augmenting partner rather than a standalone adviser. While tools like Gemini and Claude can expedite deep industry research and data analysis, they caution against relying on generic chatbots for specific financial advice, noting their tendency to hallucinate and lack real-time data. Instead, they advocate a collaborative workflow: perform initial planning manually, use AI to refine and translate complex algorithms into plain English, then meticulously review every output to preserve critical thinking and guard against over-reliance on automated responses. Finally, Louise challenges the conventional chase for dividends alone, demonstrating that capital gains from trending shares typically outpace dividend yields. She recommends enrolling in a Dividend Reinvestment Plan (DRP) so that dividends automatically purchase additional shares supercharging returns through compounding. Framing investing as a strategic “game” of maximising returns with minimal effort, Louise combines DRPs with indices’ natural upward drift to achieve both strong financial outcomes and personal freedom. Her message is clear: with the right systems, mindset and disciplined use of technology, the share market can become a powerful engine for long-term wealth and fulfilment. Here's the Simulcast on Louise's Talking Trading: https://talkingtrading.com.au/ai-meets-trading/ #TradingPlan #TradingEducation #AIinTrading #FinancialFreedom #DividendReinvestment #ETFTips #DevReadyPodcast

In this episode of the DevReady Podcast, Anthony Sapountzis is joined by Lee-ann Dias, Director & Founder of Sasbri Consulting. With a career spanning global roles in business and technology consulting, Lee-ann has built a reputation for helping organisations go to market faster and smarter through strategic process improvement and technological enablement. Formerly with Microsoft and a trusted advisor to Microsoft Partners across ANZ, she brings unique insight into how organisations can navigate complexity, maximise the value of AI tools like Copilot, and remain competitive in a rapidly evolving tech landscape. Her work bridges technical know-how and business strategy, grounded in curiosity, analytical rigour, and an unrelenting drive to deliver value. The conversation opens with Lee-ann talking about her unconventional entry into tech consulting, transitioning from business development to workshop facilitation where she discovered her passion for problem-solving and stakeholder engagement. She now collaborates with Microsoft Partners and tech studios to ensure solutions are aligned with actual business needs, not just perceived ones. Lee-ann and Anthony delve into why so many projects fail due to poor upfront planning, unclear requirements, and the tendency to build prematurely. They stress the value of discovery workshops, foresight in system design, and embedding security at the outset, practices that save time, reduce risk, and ensure a stronger foundation for scale. The discussion then shifts to the growing number of non-technical founders entering the product space, often relying on low-code platforms and AI tools to launch MVPs. While such tools can accelerate development, Lee-ann explains that they’re no substitute for structured planning, proper architecture, and real developer oversight. Using accessible analogies like house-building, she and Anthony demystify the layers of application development and reinforce the need to educate clients on timelines, cost structures, and technical constraints. The consensus: low-code may get you started, but it takes expert guidance to build scalable, secure, and commercially viable software. AI’s role in software creation also comes under the spotlight, with both guests cautioning against over-reliance. Lee-ann emphasises that while AI can write code, it doesn’t guarantee the right code, nor does it replace the critical thinking, debugging, and reverse engineering skills of experienced professionals. Anthony adds that although AI can increase output, it rarely decreases costs, as testing and validation remain essential. Their shared view is clear: AI is a powerful enabler, but human expertise is still the cornerstone of quality software delivery. Lee-ann also offers insights into the challenges Microsoft Partners face when navigating Microsoft’s vast ecosystem. Drawing from her time on both the partner and vendor sides, she developed a Partner Maturity Assessment to help organisations better align with Microsoft’s go-to-market strategies. From guiding System Integrators and Managed Service Providers (MSPs) on cloud migration and AI readiness to assisting partners with Dynamics and Power Platform implementations, Lee-ann plays a pivotal role in helping businesses optimise their partnership with Microsoft. She also champions the creation of internal Centres of Excellence, communities of tech advocates who can champion tools like Copilot, drive adoption, and unlock the true value of time-saving innovations. #AI #MicrosoftCopilot #TechForFounders #LowCodeDevelopment #MicrosoftPartner #StartupTech #DigitalTransformation #SoftwareDevelopment #DevReadyPodcast

Justeen Kirk, Founder and CEO of ISO Matters, joins host Anthony Sapountzis on the DevReady Podcast to share her mission of making quality systems accessible, scalable, and practical for small businesses. Based in Wagga Wagga, ISO Matters helps business owners build clarity and confidence through better systems, whether they need to define a single process or pursue full ISO certification. Justeen, who has over two decades of experience across government and private sectors, is passionate about equipping businesses with fit-for-purpose solutions that align with how they already operate. With new offerings, including a hands-on 12-week systemisation program and an AI-powered tool designed to generate custom quality management systems, Justeen is on a mission to level the playing field and redefine what quality looks like for growing businesses. In a refreshingly honest and inspiring conversation, Justeen opens up about the unexpected circumstances that led to the founding of ISO Matters. After losing her job under difficult circumstances and with no immediate career prospects, she took a leap of faith, backed only by the savings from selling her house and a heartfelt LinkedIn post that secured her first client. Justeen candidly reflects on her early missteps like choosing a placeholder business name and offering services to anyone and everyone but these lessons became the foundation of her current philosophy: to help other small businesses avoid chaos and build confidence through structured, meaningful systems. Throughout the episode, Justeen and Anthony explore the challenges and burnout that come from trying to do everything as a solo founder, especially during the height of the COVID pandemic. From juggling home schooling and managing geographically dispersed teams to ultimately stepping away from leadership, Justeen shares how those struggles became a catalyst for building a business that empowers others. They also delve into the complex world of marketing what Justeen jokingly calls “voodoo” and the deep divide between process-driven thinking and creative content development. It's a relatable conversation for anyone navigating the demands of modern entrepreneurship. On the operational side, Justeen explains how businesses can simplify process mapping by focusing first on service delivery, the “bullseye” of every business and working outward. With practical tools like Loom and Scribe, she demonstrates how documenting processes doesn’t have to be time-consuming or overwhelming. More importantly, she underscores the importance of involving the entire team in building these systems to ensure engagement, clarity, and a culture of continuous improvement. The payoff? Saved time, reduced stress, and potentially tens of thousands in operational value. Rounding out the conversation, Justeen makes a compelling case for integrating ISO-based quality management systems, even without formal certification. By adopting the core principles of ISO and tailoring them to suit each unique business, owners can gain structure, visibility, and long-term scalability without bloated costs. She introduces her latest initiative, an AI-powered tool built on her consulting expertise which aims to replace generic, one-size-fits-none templates with dynamic, contextualised systems. It’s a game-changing vision for small businesses ready to scale without compromising on quality. #SmallBusinessTips #EntrepreneurJourney #BusinessSystems #ProcessImprovement #ISO9001 #FounderStories #AIForBusiness #QualityManagement

On this episode of the DevReady Podcast, our host Anthony Sapountzis welcomes back Gareth Rydon, Co-Founder of Friyay.ai and a seasoned expert in human-centred design and AI-led innovation. Gareth brings his strategic perspective shaped by years of experience helping businesses integrate generative AI into a fifth monthly update (and sixth podcast appearance) filled with practical insights, real-world use cases, and refreshing candour. As an advisor and speaker in the AI space, and someone deeply embedded in helping organisations rethink the way they work, Gareth offers a compelling look at how the latest tools are reshaping productivity, collaboration, and even tax season. Gareth kicks things off by spotlighting Whispr Flow, a voice-first tool that’s completely reshaped his digital workflow. With near-total abandonment of the keyboard, Gareth shares how he now navigates across platforms and communicates with AI agents using only his voice, freeing up time and dramatically streamlining tasks. Anthony explores similar shifts in his own habits, describing how he’s integrated Gemini into both his Android phone and Galaxy Watch to support hands-free interaction. Their conversation reflects a wider transformation in how professionals are leveraging multimodal AI tools in day-to-day life, especially for ideation, task management, and even parenting on the go. From there, the pair dig into the importance of clarity and intentionality when working with powerful AI agents like ChatGPT, Claude, and Lovable. Gareth emphasises that users should treat these tools less like magic buttons and more like collaborators, approaching them the same way you’d guide a junior team member. By clearly defining a desired outcome, users avoid getting lost in suggestion spirals and instead co-create solutions that are actually fit for purpose. Gareth shares a useful prompt: ask the AI to act like a product manager and help you gather requirements. This approach, they agree, aligns closely with DevReady.ai | AI-Powered App Planning for Non-Tech Founders ’s mission of planning smarter, not just building faster. In an era where low-code and no-code solutions are proliferating, Gareth and Anthony reflect on the continued (and growing) demand for skilled engineers, particularly those who can bring products through to commercialisation. While founders can now prototype faster than ever, they explore the need for hybrid workflows that blend rapid iteration with robust development standards. This leads to a valuable discussion on how to manage shared codebases between technical and non-technical collaborators, maintain quality and security, and ensure products can scale effectively in production environments. The episode rounds out with a brilliant real-world use case: Gareth’s AI-powered tax return workflow, a shining example of what’s possible when tools like Claude and Gemini are used creatively. Without maintaining a spreadsheet all year, he leveraged contextual prompting to build a dynamic tracking system, recover forgotten deductions, and extract travel data from Gmail and calendar entries. The outcome? A faster, smarter, and more comprehensive tax submission. Gareth uses this case to advocate for process-first thinking in automation, reminding listeners that true productivity comes not from the tools themselves, but from how clearly we define our desired outcomes before inviting AI in. #AIProductivity #VoiceAI #AIWorkflows #NoCodeTools #AutomationTips #TechPodcast #AIInBusiness #GarethRydon

In this episode of the DevReady Podcast, Anthony Sapountzis is joined by Des Hague, a two-time best-selling author and seasoned business leader whose extraordinary career has seen him lead globally renowned companies like IHOP, Safeway, and Centerplate. Hague, who has served on 20 boards and returned billions to shareholders, is currently the CEO of Hague Enterprises, offering advisory and consultancy services, and is the founder of the Thinking Academy. Beyond his corporate achievements, he is a dedicated philanthropist, having helped raise over $100 million for nonprofits, and is a proud father and grandfather. Together, Anthony and Des unpack the principles, mindset, and strategies that have underpinned Des’s success and his mission to help others rise in their own careers. Des shares his remarkable journey from humble beginnings, marked by childhood adversity and teenage homelessness, to leading billion-dollar enterprises. His story is a testament to resilience, hard work, and an unwavering commitment to lifelong learning. Drawing inspiration from leaders like Sam Walton and Barack Obama, Des argues that grit, preparation, and consistent effort are the true foundations of lasting success, while both he and Anthony debunk the myth of overnight achievement, highlighting how genuine accomplishments stem from years of dedication. The conversation explores the irreplaceable value of developing talent and building great teams. Des outlines his proven four-part blueprint: hire the best people, deliver exceptional service, drive sales, and achieve profit; all underpinned by empowering teams with autonomy. He emphasises that real leadership is measured not by personal accolades but by the success of those you help advance. Anthony and Des share stories from their early work experiences, agreeing that even the most mundane jobs can instil resilience, discipline, and a mindset essential for long-term success. Des also highlights the dangers of today’s cancel culture and the importance of embracing diverse perspectives instead of demonising dissenting opinions. Together, he and Anthony stress the need for cognitive openness, staying curious, and continuously seeking new ideas and technologies beyond one’s echo chamber. They argue that creativity often comes from remixing existing concepts, and that leaders should create environments where innovation and adaptability thrive. Finally, Des introduces his powerful “plan on a page” framework, encouraging listeners to craft focused, actionable five-year visions for their careers. He underscores that many people spend more time planning weekends than charting their future, and explains how having clarity on objectives can give individuals the courage and purpose needed to navigate an increasingly chaotic world. Des and Anthony also discuss how tools like Google and AI should be used to accelerate thinking rather than replace it, concluding that true success lies in remaining a lifelong student, setting clear goals, and actively shaping your own path forward. #Leadership #Entrepreneurship #BusinessSuccess #CareerGrowth #LifelongLearning #DesHague #StartupMindset #InvestingInPeople #DevReadyPodcast

In this episode of the DevReady Podcast, host Anthony Sapountzis sits down with Tahreem Shah, an accomplished entrepreneur, Regional Business Advisor at Odoo, and Co-Founder of Scailr. With a career spanning architecture, tech sales, and social entrepreneurship, Tahreem brings a unique perspective on building impactful ventures across borders. From her early days working in Norway to her current base in Dubai, she has dedicated herself to empowering marginalised communities and creating technology solutions that bridge the gap between business and innovation. This candid conversation explores her inspiring journey, the realities of scaling startups in emerging markets, and her latest venture aimed at transforming how founders interact with business data. Anthony and Tahreem unpack the opportunities and barriers within Bangladesh’s startup ecosystem, where infrastructure and policy limitations often stifle promising, tech-driven ventures. Tahreem shares examples like ShopUp’s rare success story of scaling internationally through acquisition, while reflecting on her own experience learning from a seasoned ex-Google engineer. Together, they highlight the crucial need for founders to align product features with clear value propositions to succeed both locally and globally. Tahreem’s insights offer a nuanced look at the challenges of translating local innovation into broader markets and the importance of bridging technical and business perspectives. The conversation explores the complexities of building startups in hyperlocal contexts, where strategies such as agent-led onboarding and education campaigns are necessary to reach non-digitised communities. Tahreem illustrates how these efforts helped her navigate Bangladesh’s unique landscape, but also underscores how achieving product-market fit at home doesn’t guarantee success abroad. The discussion reveals how differences in infrastructure, technology adoption, and user behaviour between regions make global scalability a far more complex challenge than often assumed. Anthony and Tahreem agree that understanding these nuances is vital before attempting to expand beyond familiar markets. Tahreem recounts the deeply personal decision to pause her first startup, Bhorosha, following her co-founder’s struggles after a traumatic event, despite its recognition on global stages such as Unleashed and Dragon’s Den India. Transitioning to Antler’s Entrepreneur in Residence programme, she describes how her initial idea of leveraging Bangladesh’s garment industry evolved into Scailr. Mentor feedback pushed her and John to move beyond regional solutions and build a cutting-edge global product, highlighting the resilience, adaptability, and alignment required to pivot successfully in the face of shifting market realities. Delving into Scailr’s development, Tahreem shares how the platform aims to become a “business co-pilot”, enabling executives to converse with their data to make informed, strategic decisions. Prioritising data security and ethical standards, Scailr has partnered with academic experts to ensure responsible data handling while providing contextual, actionable insights. Tahreem explains how advances in generative AI allowed them to leverage evolving models instead of building their own, saving resources and accelerating development. The episode closes with a discussion on the importance of fostering a company culture that empowers innovation and the need for founders to focus on solving real problems rather than assuming funding alone will drive success. #Startups #Entrepreneurship #Innovation #AI #TechForGood #WomenInTech #EmergingMarkets #Bangladesh #ScalableTech

In this episode of the DevReady Podcast, host Anthony Sapountzis is joined by Con Sotidis, renowned LinkedIn and AI Strategist, to explore the art of building a powerful personal brand on LinkedIn. Con, founder of Social Selling Warrior and a specialist in social selling strategies, shares actionable insights to help professionals elevate their profiles, grow their networks, and attract new opportunities. Drawing on years of experience, Con demonstrates how a well-crafted LinkedIn presence can be a game changer for professionals across industries. Anthony and Con reflect on Con’s unique career journey, from starting out as an accountant in the tax office to discovering his passion for connecting with people and shifting into business development. Con shares how growing up with cultural expectations of job security kept him in the public service for decades, despite his creative drive. Once he stepped out of the bureaucratic environment, he embraced the freedom to innovate and build his own business, finally aligning his career with his extroverted nature. Together, they discuss how family influences and personal realisations often shape the path to entrepreneurship, and how leaning into one’s strengths ultimately leads to greater satisfaction and success. Con delves into a common challenge faced by small business owners: becoming so absorbed in day-to-day operations that they overlook building and projecting their personal brand. He argues that a professional, engaging LinkedIn profile is an underutilised but powerful tool for sparking conversations and showcasing credibility in the B2B space. Con contrasts LinkedIn with platforms like Facebook, noting that while Facebook serves some industries well, LinkedIn remains unparalleled for creating professional connections in fields like finance, law, and consultancy. He highlights how investing time in a strong LinkedIn profile helps entrepreneurs stand out and attract valuable opportunities. As the conversation turns to the changing dynamics of LinkedIn, Con acknowledges that the platform’s feed increasingly resembles Facebook’s, yet insists that sharing genuine, value-driven content remains essential. He explains how LinkedIn’s algorithm rewards authentic engagement and meaningful interactions, stressing the importance of promptly responding to comments to maximise post reach. Con and Anthony explore the power of video, agreeing that short, personable clips build credibility, capture attention, and foster deeper connections more effectively than static text. They share personal experiences on overcoming discomfort with video to leverage it as a key branding tool. Rounding out their discussion, Con emphasises that a person’s name is their most valuable brand asset, and maintaining its integrity is vital in today’s professional landscape. He advocates for professionals to make themselves memorable by consistently providing value and nurturing authentic relationships on LinkedIn. Through a live profile walkthrough, Con highlights best practices, such as using a professional headshot, a keyword-rich headline, and gathering recommendations to build social proof. He also shares creative yet compliant ways to personalise profiles, reinforcing that success on LinkedIn hinges on relationships, relevance, and thoughtful branding. #LinkedInTips #PersonalBranding #SocialSelling #BusinessGrowth #Entrepreneurship #ProfessionalNetworking #DigitalMarketing

In this episode of the DevReady Podcast, host Anthony Sapountzis is joined by Stefan Pagacik, Founder and CEO of Ampresta and Executive Advisor at 528Connect. A systems thinker and long-time advocate for leveraging market dynamics to accelerate decarbonisation, Stefan has dedicated his career to creating innovative tools that turn climate commitments into measurable financial outcomes. With a rich background spanning media, technology, and sustainability, including senior roles at Apple and Adobe, he has spent the past 17 years focused on helping businesses and investors move beyond traditional sustainability reporting to actionable, impact-driven strategies. Stefan’s mission is clear: to make climate resilience a core component of every business model by bridging the worlds of carbon metrics and capital markets. Stefan begins by sharing his journey from a dual career in media and entertainment to becoming a product developer and senior leader, highlighting how his self-taught technology expertise enabled him to work closely with developers and deeply engage with customers. He recounts how this balanced approach helped him identify pain points and design scalable solutions, ultimately laying the foundation for his entrepreneurial pursuits. His early experiences at large corporations inspired him to seek more meaningful, hands-on roles in smaller companies, where he felt a greater sense of connection and purpose. This drive led him to focus on sustainability technologies that align with his belief in creating a positive legacy for the planet. Reflecting on repeated frustrations expressed by CEOs over the ineffectiveness of traditional sustainability reporting, Stefan describes how these insights became the catalyst for founding Ampresta. He explains that most reports fell short, taking organisations only halfway towards tangible impact, and identified a critical need to integrate decarbonisation metrics with financial data. By bridging this gap, Stefan aims to transform sustainability from a box-ticking exercise into a core business strategy. Through conversations with asset managers struggling to build decarbonisation-focused financial products, he realised the urgency of creating tools that help companies and investors measure and monetise sustainability outcomes. As the discussion deepens, Stefan shares the challenges of building a credible financial model without a background in financial modelling, revealing how he dissected companies into functional business units to pinpoint where decarbonisation and financial data intersect. He details early setbacks with dummy data and highlights more promising results from real-world tests in Manhattan flood zones, which validated his approach. Stefan underscores the need to adapt the model for industries like insurance and banking, stressing that quantifying physical and financial risks is essential to motivate proactive investment, especially given the unpredictable nature of climate events. In the closing moments, Stefan reflects on the cultural lessons he has carried into Ampresta, from avoiding the pitfalls of careless spending to prioritising clear communication that resonates beyond technical audiences. He emphasises the importance of addressing customers’ fears, arguing that trust is built not through technology alone but by demonstrating a deep understanding of their challenges. Above all, Stefan shares that his unwavering North Star is integrity, which he believes must guide every action and decision. He candidly describes challenging his team to commit fully as they approach pivotal projects, recognising that sticking to their principles will determine whether they seize the moment or let it slip away. #ClimateTech #Sustainability #Decarbonisation #GreenFinance #StartupLeadership #CleanTech #CarbonAccounting #ImpactInvesting

In this episode of the DevReady Podcast, host Anthony Sapountzis is joined by cybersecurity veteran and founder of DarkHorse Security, Grant McCracken. With over 13 years of experience across roles at WhiteHat Security and Bugcrowd, where he led global service delivery, Grant has been at the forefront of application and information security. His deep industry knowledge spans triage engineering, customer success, solutions architecture, and penetration testing, which laid the groundwork for founding DarkHorse. The startup focuses on delivering accessible, affordable, and effective cybersecurity services for small to medium-sized businesses, offering a platform that automates complex security workflows and reduces barriers to entry. Grant shares the unexpected and organic origin of DarkHorse, which emerged after stepping away from Bugcrowd to figure out his next move. He admits there was no original blueprint, just a desire to use his skills for good. Driven by purpose more than profit, Grant discusses how DarkHorse occasionally operates on a pro-bono basis, particularly for non-profits and organisations with limited budgets. He speaks openly about maintaining sustainability by living simply, and how the ability to work on his own terms has allowed him to create something truly mission-driven. Together, he and Anthony delve into the philosophical tension between doing meaningful work and the traditional pressures of commercial success. Their conversation also explores Grant’s hacker mindset, one rooted in a relentless curiosity about how things work. He likens ethical hacking to running through a house with a sledgehammer to uncover structural weaknesses: breaking, not fixing, purely to learn. This innate curiosity has not only shaped how Grant approached application security but also how he now builds software systems himself. Through DarkHorse, he’s had the chance to switch hats from breaker to builder, crafting platforms that are both robust and intuitive. Anthony and Grant find common ground in how curiosity powers problem-solving, learning, and innovation across their technical disciplines. As the discussion turns to the influence of AI, both Grant and Anthony unpack how large language models are reshaping software development and security. Grant notes the rise of novel vulnerabilities like prompt injection, while also pointing out the increased development efficiency tools like Cursor bring. However, they also raise concerns about the diminishing presence of human knowledge-sharing platforms like Stack Overflow, replaced by interactions with AI systems. This shift, they warn, could create future knowledge gaps and dangerous feedback loops where synthetic data trains on itself—degrading the quality and trustworthiness of future models. To close, Grant outlines the core offering of DarkHorse: a platform that simplifies and standardises penetration testing for modern teams. Rather than relying on outdated and expensive consulting-heavy models, DarkHorse enables organisations to perform high-quality security assessments via a streamlined, self-serve interface. The platform recommends testing approaches based on user input and uses transparent methodologies like the OWASP Testing Guide to ensure rigour. In a landscape lacking clear definitions of what constitutes a valid pen test, Grant takes a firm stance on upholding standards ensuring that organisations aren’t just ticking boxes but actually improving their security posture. #DevReadyPodcast #Cybersecurity #AI #StartupSecurity #DarkHorseSecurity #GPTReady #AerionTechnologies

In this episode of the DevReady Podcast, host Anthony Sapountzis welcomes Tim King, Founder and Automation Strategist at Regravity, a consultancy helping mid-sized businesses scale through process automation. With a rich and diverse background that spans visual arts, digital media, corporate finance, and copywriting, Tim brings a uniquely creative and strategic lens to automation. His expertise lies in streamlining operations and removing bottlenecks using tools like PowerShell, Power Automate, Make (formerly Integromat), and n8n. Tim’s journey into automation began by solving his own workflow inefficiencies and grew into a broader mission: helping businesses operate smarter, not harder, by leveraging automation in thoughtful, human-centred ways. Tim explains that a big part of his role involves guiding companies to understand what’s actually possible with automation. Many businesses default to hiring more staff instead of exploring how automation can reduce repetitive tasks and unlock team productivity. He promotes a human-first approach, augmenting rather than replacing people, which helps alleviate common fears around job loss. By focusing on strategic automation, Tim shows how businesses can improve ROI, enhance system performance, and ultimately boost both customer and employee experience. He and Anthony also note that automation must be purposeful, not simply implemented for the sake of looking innovative. In their discussion, Tim challenges the common perception that automation is just a quick-fix plugin. He argues that off-the-shelf solutions often fail because they don't consider the unique processes of each organisation. Many mid-sized businesses still rely on manual and paper-based workflows, which creates friction when trying to digitise. He stresses the importance of transparency and trust, often advising clients to delay automation until they’re truly ready, rather than rushing into ill-fitting solutions. This mindset fosters sustainable, long-term partnerships based on real impact rather than superficial wins. Anthony and Tim also dive into the consequences of “vibe coding”, a trend where inexperienced developers build automations without understanding the underlying tech. This leads to significant risks such as open ports, unsecured bots, and no maintenance strategy. Tim has seen many “console cowboys” deliver flashy demos only to disappear, leaving unstable systems behind. These projects often require rescue and rebuilding, costing businesses both time and money. Together, they warn that automation must be secure, scalable, and properly planned; otherwise, it can leave companies more exposed than empowered. Finally, Tim reflects on current trends in automation. While platforms like Make and n8n are maturing rapidly and enabling more advanced capabilities, he predicts a renewed appreciation for simpler, functional workflows. As businesses move beyond the “rule of cool,” they’ll seek real utility, automations that genuinely make work easier and more efficient. Tim advocates for better business education around automation and encourages companies to begin with audits that reveal their true needs. With greater awareness and less fear, more organisations will be ready to harness automation and AI not as threats, but as powerful tools for growth and innovation. 💥 Special Listener Offer Get $1,000 off your first automation project with Regravity: https://l.regravity.com/devready #Automation #AI #DigitalTransformation #BusinessGrowth #Podcast #LowCode #CyberSecurity #Innovation

In this episode of the DevReady Podcast, host Anthony Sapountzis sits down with Brittany Fox, Founder and CEO of Nevam, to explore her transition from corporate consultancy to tech entrepreneurship. With over a decade of experience across strategy, marketing, and digital transformation—including at firms like Deloitte, Origin, and GAP—Brittany brings deep insights into customer experience design and operational inefficiencies within enterprise environments. Her platform, Nevam, empowers businesses to visualise and optimise the customer journey in real time through what she calls "living journey maps". Drawing on both her technical fluency and strategic background, Brittany is reimagining how teams self-audit, collaborate, and drive decisions. This conversation uncovers the thinking, grit, and clarity that have propelled Nevam from idea to market validation in record time. Brittany shares how the idea for Nevam emerged from repeated frustrations she faced across large organisations, where disconnected tools and siloed teams made cohesive customer experiences difficult to achieve. Even with access to top-tier Martech stacks, the processes were rigid and inaccessible across teams, with audits often biased by individual consultants’ tooling preferences. Nevam was designed to close this gap, offering visibility, continuity, and a self-auditing layer that empowers organisations to take control of their own transformation journeys. Anthony and Brittany also dive into the importance of auditing current tools before migrating to new platforms, building a "blue sky" vision, and ensuring upgrades align with real strategic goals—not just shiny new tech. The conversation shifts to the role of Agile in startups, where both guest and host challenge common misconceptions. Brittany explains how she adopted a hybrid "managed Agile" approach, establishing a clear fixed scope for MVP builds, while remaining flexible enough to reprioritise based on real user feedback. Her roadmap process keeps her team two to three sprints ahead, with every feature grounded in user needs and client feedback. Together, Anthony and Brittany champion the concept of building “Minimum Valuable Products” rather than just the bare minimum, with an emphasis on delivering maximum value early and iterating purposefully. Brittany’s entrepreneurial journey truly gained momentum during her maternity leave in 2023, when she began validating Nevam with potential users. After being accepted into Techstars, she quickly onboarded a pilot client, one of Australia’s largest retailers, and delivered a working product within 12 weeks. Through this experience, she built a highly aligned, high-performing dev team, creating structure and clarity that enabled them to deliver at speed. One of her most surreal moments came when a Swedish agency presented Nevam as their own internal innovation to their team, speaking passionately about its value, entirely in Swedish, while Brittany sat in the room watching it unfold. Finally, Brittany opens up about the realities of being a founder and a parent. As part of a predominantly female Techstars cohort, she found solidarity and inspiration among other working parents. Rejecting the toxic "hustle culture" narrative, Brittany advocates for building sustainable, balanced businesses that serve not only users and investors, but also the personal lives of their founders. Her leadership philosophy is deeply human-centred, rooted in empathy, efficiency, and empowerment, and Nevam’s continued growth is a reflection of that same approach. With new features, client wins, and investor backing on the horizon, Nevam is on track to scale with clarity and purpose. #DevReadyPodcast #BrittanyFox #Nevam #WomenInTech #StartupJourney #AgileLeadership #CustomerExperience #SaaSInnovation

In this episode of the DevReady Podcast, host Anthony Sapountzis is joined once again by Gavin Reddrop, Founder of Airtok AI and a seasoned entrepreneur helping businesses navigate the AI revolution. With a background spanning digital marketing, startup acceleration, and tech innovation, Gavin is now focused on demystifying AI for service-based businesses. He shares his latest ventures in AI, including a platform aimed at helping business owners understand and implement AI, and an image generator that leverages LoRA models to create high-quality, personalised visuals. The conversation touches on how businesses can avoid being swept up by the hype and instead focus on strategic, value-driven adoption of AI technologies. Gavin recounts the evolution of his image generation tool, which began as a community-driven crypto project integrated with Telegram. Originally built to offer automated, knowledge-based responses for crypto communities, the platform soon expanded into meme and image generation tailored for gaming and professional use. Despite setbacks like a liquidity hack, Gavin and his team relaunched the platform successfully, now with over 400 projects using the technology. This experience highlighted not only the resilience required to build in the volatile crypto space, but also the versatility and staying power of well-built AI infrastructure. The episode moves into a broader discussion about the realities of AI adoption in business. Gavin outlines how many business owners remain unsure of how to implement AI meaningfully, often overwhelmed by technical jargon or seduced by shiny tools that underdeliver. Together, Gavin and Anthony explore the false promises of AI agents that lack consistency, and how businesses with well-defined processes are in a much better position to leverage automation effectively. They stress the importance of using AI to enhance human connection and operational clarity, not replace it blindly. Anthony and Gavin also reflect on their experiences with “vibe coding” tools, AI-assisted code generators that, while promising in theory, often introduce subtle errors that snowball into bigger issues. They discuss the common “drift” phenomenon, where repeated AI prompts gradually stray from the original objective. Security risks, such as hardcoded API keys or exposed credentials, also highlight the dangers of relying solely on AI for production-ready apps. Both agree that while AI is incredibly useful for rapid prototyping and layout generation, critical aspects like stability, security, and final-mile polish still require human expertise. Closing the episode, they explore how frameworks like DevReady are reshaping how businesses can safely and efficiently integrate AI. Gavin praises the approach of combining AI tooling with a solid strategic foundation thus empowering founders to be part of the build process while ensuring developers can deliver production-grade results. With AI tools evolving rapidly and new products launching constantly, they argue for the need to stay adaptable without losing sight of structure. Ultimately, success in the AI age won’t come from chasing every shiny new app, but from having a clear plan, the right guidance, and a stack that evolves with your business, not against it. #DevReadyPodcast #AIforBusiness #GPTReady #AutomationStrategy #StartupTech #DigitalTransformation #BusinessGrowth #GavinReddrop