Applied AI Australia

The AI Risk Your Board Can’t See: Identity, Fraud and AI Agents | Dan Mountstephen, OktaSubscribe - know a director who still thinks cyber is an IT problem? Forward this.CBA self-reported $1B in suspected AI-generated fraud this year and committed $900M to fight back.For every human logging into your systems, there are 82 machine identities. Service accounts, API tokens, AI agents. Most have no owner. Most have more access than the people they serve. When one of them goes rogue, the board's looking at you.Dan Mountstephen runs Asia Pacific for Okta, a $3B identity-security business. 20 years in enterprise tech, the last five deep in identity. The biggest risk in your business isn't the people you hire. It's the accounts you forgot about.What you'll learn:​The 82:1 ratio: how machine identities outnumber human ones, and why nobody's watching​Why AI isn't breaking new systems. It's scaling the weaknesses you already have.​ How to govern an AI agent the same way you'd govern a contractor​The kill-switch: what to do when an agent goes rogue​Why directors are personally on the hook if due diligence can't be provenKey stats: ​ 82:1 machine to human identity ratio. ​ 86% of staff using unsanctioned AI. ​ 22% of incidents start with stolen credentials.48-hour action: Get visibility of every identity across your organisation, human and machine. You can't secure what you can't see."AI isn't breaking systems. It's scaling the weaknesses you already have." - Dan MountstephenTimestamps:0:00 - 82 machines per human1:00 - CBA: $1B fraud, $900M response3:00 - AI scales weaknesses, doesn’t create them5:00 - 212% YoY cybercrime growth5:10 - 86% using unsanctioned AI6:00 - What good cyber looks like7:00 - Identity Security Posture Management8:00 - Directors personally on the hook10:00 - Static API keys = standing privilege12:00 - Kill chain: identity to damage13:00 - Agents as contractors: the ownership model16:00 - Dell case study18:00 - Where to start: visibility first19:00 - 48-hour action20:15 - Blast radius and kill switch22:00 - Closewww.appliedaiaustralia.com.au linkedin.com/in/ramonrodGuest: Dan Mountstephen, SVP & GM APAC at Oktalinkedin.com/in/danmountstephen | okta.comAbout Applied AI Australia:We help Australian companies between $100m and $1b turn AI into revenue, margin, time back, and better operating discipline. One podcast and one newsletter each week, built so you can brief a board in under an hour.

Fewer People, More Output: The Vacancy Strategy (Diego Mogollon, VentureCrowd)Subscribe: Know a leader still hiring the same org chart? Forward this.You can drive AI transformation in compliance heavy industry! This episode proves it!Diego Mogollon wears two hats at VentureCrowd: CMO and CTO. The regulated FinTech platform has raised $440 million. Over the last two years,Tech team shrank 60%.Development time dropped 90%.Marketing team went from six people to one, and they're handling more volume than ever before.He didn't fire anyone. His team kept getting poached because they were good. Each time someone left, instead of opening a job req, Diego mapped every task that person owned and asked three questions: what can an agent handlewho can upskill into this,what process can we redesignHe calls it the Vacancy Strategy, it's changed everything about how VentureCrowd builds.What you'll learn:Why backfilling roles the traditional way is the biggest missed opportunity in AI adoptionThe Customer Zero strategy: build AI agents for your team before your customersHow a crew of specialised AI agents replaced a marketing team of six in a regulated FinTechAgent KPIs most companies aren't tracking: resolution rates, escalation rates, latency, and context poisoningWhy giving agents more data makes them worse, not betterThe shift from human in the loop to human at the helmHow to run a 24-hour agent challenge with your team this weekKey frameworks:Vacancy Strategy: Every time someone leaves, don't backfill. Map. Reassess. Redesign.Customer Zero: Build AI for your internal team first. Solve your problems, then your customers'.Agent KPIs: Resolution rate, escalation rate, latency, tokens per agent.Context Poisoning: An agent should know what it needs to know. You don't dump the company wiki on a new hire's first day.Key stats:Tech team 60% smaller over two yearsDevelopment time down 90% (months to weeks, weeks to days)Marketing team: 6 people to 1$440M raised through VentureCrowd's digital platformBug debugging time cut 90%+ with a single agent48-hour action: Next time a role opens on your team, hold the job req for 48 hours. Map every task that person did. Identify one that an agent could handle. You'll find it.Guest: Diego Mogollon, CMO/CTO at VentureCrowdLinkedIn: linkedin.com/in/diegomogollonCompany: venturecrowd.com.auHost: Ramon RodriguezLinkedIn: linkedin.com/in/ramonrodriguezWebsite: www.appliedaiaustralia.com.au

$28M Spent on AI. One Question Tells You If It's Working. Subscribe - Know a CFO still measuring AI by project count? Forward this.Episode Summary:90% of Australian companies have invested in AI. Only 40% are seeing results. The problem isn't the technology.In Part 1, we showed you which type of AI leader you are: Believer, Driver, or Builder. In Part 2, we reveal why that's only half the picture. There are two tracks of AI maturity and most organisations only measure one. Anthony Mittelmark calls it the Two-Track Trap: your AI usage might be advancing, but if your organisation isn't built to carry it, the investment leaks value.This episode gives you diagnostic questions most leadership teams can't answer, a real case study of how one multinational reframed AI as a valuation play, and a 48-hour action you can run this week without budget or approval.What you will learn:Why treating AI projects like IT projects is the #1 reason programs stallThe four levels of AI usage maturity (Tool User to AI-First) and where most companies are stuckThe second maturity track nobody measures: organisational readinessWhy tactical AI integration can make the rest of the business worseHow a multinational used upstream data IP to change their valuation narrativeA 48-hour brutal audit you can run with your leadership team this weekKey Frameworks:Two-Track TrapTrack A: AI Usage Maturity (Tool User > Process Runner > Commercial Operator > AI-First)Track B: Organisational Maturity (leadership articulation, business resistance, architecture to roadmap)Most companies measure Track A and ignore Track B. That's where investment leaks.Portfolio Mindset: Every AI project must deliver commercial value, build reusable capability, and advance organisational AI fluency.Valuation Reframe: Not "what does your org look like in 2030" but "how will it be valued in 2030?"Key Stats:12% of Australian leaders say GenAI is transforming their business (vs 25% globally)90% invested in AI, only 40% seeing results (Frontier, March 2026)Financial services moving to AI-first: cost-to-serve gap makes it impossible to compete without it48 Hour Challenge:Ramon: 30 mins. One page. Can leadership articulate why you're investing in AI (commercial reasons, not efficiencies)? Is the business resisting - where and who? What does next-gen CX look like? Does tech map AI architecture to a roadmap with cost-benefit? For every AI initiative, does the org support it or is tech running ahead? If you can't answer with confidence, there's a gap.Anthony: List every AI tool, subscription, pilot, and POC. Portfolio strategy or just a collection of stuff? CEO to CFO: are we aligned on AI investment and what's the return?"The board doesn't need another AI update. They need a name to it next quarter."Timestamps0:00 - Intro: the two-track blind spot1:00 -Why AI programs stall: IT projects vs portfolio mindset5:00 - The four levels of AI usage maturity8:30 - The Two-Track Trap: organisational readiness11:30 - What happens when leadership can't articulate why14:30 - Level 3 usage, Level 1 organisation17:30 - The $500M CEO building a business within her business19:00 - Upstream data IP and valuation narrative21:30 - Does this project advance your AI thesis?23:00 - The brutal audit25:30 - Close: AI maturity runs on two tracksPart 1 (Believer, Driver, Builder): HereApplied AI Australia: https://appliedaiaustralia.com.auhttps://www.linkedin.com/in/ramonrodPodcast + Executive Newsletter Guest: Anthony Mittelmark, 20+ years AI strategy across ASX 100 companies and high-growth ventures..LinkedIn: linkedin.com/in/anthonymittelmark

AI Ready in 2026: Know Your Type (Part 1)Applied AI AustraliaIn Conversation With: Anthony Mittelmark. Technology executive with 20+ years delivering enterprise-scale AI strategy and digital transformation across ASX 100 companies and high-growth ventures.Duration: ~28 minutesEPISODE SUMMARYEvery Australian executive falls into one of three AI leadership categories. The problem: most think they're a different type to what they actually are. Ramon Rodriguez and Anthony Mittelmark unpack the Believer, the Driver, and the Builder using real data from KPMG, Deloitte, and MIT. Part 1 is diagnosis. Part 2 covers what to do about it.THE 3 TYPESType 1: The BelieverWell read, forwarding articles to leadership, but hasn't committed to a first commercial move. The risk of being wrong feels bigger than the risk of waiting. That's a false trade-off. Every quarter at Level 1 widens the gap.Type 2: The DriverCommitted, shipping results, capital deployed, reorgs done. But running from fear of being caught flat-footed. The tension between AI's 9-18 month value curve and 6-month ASX reporting cycles pushes Drivers toward highly visible, low-impact tools over structural redesign.Type 3: The BuilderBudget, pilots, task force, enthusiasm. Missing the commercial thread. Has AI champions but no AI owners. The champion raises their hand. The owner answers to the board when it fails.KEY DATA63% of Australian C-suite rank AI as chief concern for 2026 (KPMG)12% of Australian leaders report AI is actively transforming their business, vs 25% globally (Deloitte)28% of Australian organisations have moved 40%+ of AI pilots to production (Deloitte)95% of enterprise gen AI pilots fail to deliver measurable impact (MIT)THE EXECUTIVE LANGUAGE DECODER"Exploring AI opportunities" = We haven't committed to anything"Piloting in one department" = We don't know if it works yet"Monitoring the landscape" = We're waiting for someone else to go first"Developing our AI strategy" = We don't have one"AI-augmented workflows" = We added a chatbot"Responsible AI approach" = We're using compliance as a brakeYOUR 48-HOUR FIRST MOVEBelievers: Map your category against a 20% margin compression scenario. One page. This week. Have the conversation.Drivers: Ask your leadership team: where are we still making decisions the same way we did three years ago? Find it before a competitor does.Builders: Name one AI initiative running right now and put a strict dollar figure on it. Savings or revenue. If you can't do this by Friday, pause the build.TIMESTAMPS00:00 Introduction and episode framing01:07 The Australian AI readiness gap in numbers03:11 The 3 types of AI leader: overview03:37 Type 1: The Believer09:26 Believer self-diagnosis questions11:00 Type 2: The Driver12:42 Tactical AI vs AI-first16:09 Type 3: The Builder22:00 The Executive Language Decoder23:56 Traditional frameworks vs probabilistic technology26:08 Your 48-hour first move27:20 Closing and Part 2 previewLINKSWebsite: www.appliedaiaustralia.com.auExecutive Newsletter: https://substack.com/@appliedaiaustraliaRamon Rodriguez: https://www.linkedin.com/in/ramonrodAnthony Mittelmark: https://www.linkedin.com/in/anthonymittelmark/SUBSCRIBE TO APPLIED AI AUSTRALIAThe #1 source for Applied AI strategy for the Australian C-Suite. Frameworks you can apply in 48 hours..ABOUT APPLIED AI AUSTRALIAApplied AI Australia helps execs cut through the noise and deliver practical outcomes: growth, margins, and time. We translate AI into executive action every Monday and Friday.

Tasks tell you what happened. Decisions explain the outcome. If you aren't capturing the logic behind your decisions, your workflow is broken.90% of Australian executives believe AI is critical for survival, yet only 3% have successfully operationalised it. Why the gap? Because their data is fragmented across too many tools.In this episode, Andrew McCarthy (GM, Notion APAC) joins us to dismantle the "AI Aspiration Gap." We move beyond the hype to discuss the infrastructure required to turn your company's "Institutional Memory" into a queryable AI asset—and deliver massive operational ROI.Key Takeaways & ROI:The $1M Efficiency Play: How consolidating decision logic saved over $1 million in costs and reduced reporting time from 3.5 days to just 6 hoursThe "Heidi" Case Study: How one workflow change saved 260 hours a month by automating context, not just tasksScaling Decision Logic: A framework for capturing the "why" behind executive decisions so they can be replicated at scaleThe Cost of Tool Sprawl: How fragmented data silos are preventing your AI from generating accurate insightsRetention as ROI: How reducing workflow friction directly impacts your ability to retain top talentTimestamps:[00:00] Introduction: The disconnect between AI strategy and execution[01:49] The state of AI in Australian Enterprise: Why we are "aspirational" but not "operational"[02:59] The "Tool Sprawl" Crisis: Why your tech stack is killing your AI potential[04:17] Framework: How to consolidate knowledge infrastructure[10:24] Case Study: Practical examples of AI reducing operational drag[16:47] Leadership Strategy: How to govern AI adoption without stifling inovation[35:13] Andrew's forecast for the future of workLinks:Connect with Andrew McCarthy on LinkedIn: https://www.linkedin.com/in/awmccarthy/Explore Notion for Enterprise: https://www.notion.so/product/enterpriseConnect with Ramon Rodriguez on LinkedIn: https://www.linkedin.com/in/ramonrod/SUBSCRIBE TO APPLIED AI AUSTRALIAThe #1 source for Applied AI strategy for the Australian C-Suite. Frameworks you can apply in 48 hours.📧 Newsletter: HEREABOUT APPLIED AI AUSTRALIAApplied AI Australia helps execs cut through the noise and deliver practical outcomes: growth, margins, and time. We translate AI into executive action every Monday and Friday.

The CTO Trap: Why 80% of AI Pilots Fail | Dawid Naude, PathfindrEpisode Description: 80% of Australian AI investments are currently failing, costing enterprises north of $28M per failed pilot. The data proves it: this is not a technology problem; it is a leadership failure.In this episode, Dawid Naude (CEO & Founder, Pathfindr) joins us to dismantle the "CTO Trap"—the dangerous illusion gripping corporate Australia that you can delegate AI strategy to the IT department, a consultant, or a vendor.You cannot scale what leadership doesn't use, and you cannot govern what leadership doesn't understand. We break down why real transformation must move from "Inbox Sorting" to "Reasoning" and why it must start at the Board level.What You'll Learn:The "CTO Trap": Why assigning AI ownership to the IT department is a P&L risk that leads to "Pilot Purgatory."Reasoning vs. Doing: How to move beyond basic automation to leverage the true reasoning capabilities of frontier models for strategic decision-making.The $1M PDF Strategy: A practical case study on how simple, non-technical tools can solve complex executive problems and deliver instant ROI.Consultant Red Flags: The "PowerPoint Test" to instantly audit if your advisor is a practitioner or just a theorist.The 48-Hour Challenge: Three tactical moves you can execute tonight to audit your calendar and your AI readiness.Timestamps:[00:00] The $28M Reality Check: Why 80% of Australian AI pilots never reach production.[03:10] Pilot to Production: The governance and cultural friction points killing your ROI.[07:20] The "CTO Trap": Why you cannot delegate business transformation to the tech team.[09:45] Case Study: How a simple AI workflow saved $1M in logistics costs.[13:15] Reasoning Engines: Moving from "Generative" text to "Strategic" thinking.[18:40] Vendor Due Diligence: How to spot a "Fake Expert" using the PowerPoint Test.[29:30] The 48-Hour Executive Challenge: Immediate steps for the C-Suite.Links:Connect with Dawid Naude on LinkedIn: HEREIs your organisation falling into the CTO Trap? Take the 2-minute AI Revenue Scorecard to find your hidden margins and get your personalised risk assessment: [Insert URL]SUBSCRIBE TO APPLIED AI AUSTRALIAThe #1 source for Applied AI strategy for the Australian C-Suite. Frameworks you can apply in 48 hours.📧 Newsletter: https://rebrand.ly/9uyuanaABOUT APPLIED AI AUSTRALIAApplied AI Australia helps senior leaders cut through the noise and deliver practical outcomes: growth, margins, and time. We translate AI into executive action every Monday and Friday.​

Invested in AI and got no results? You’re not alone - and it’s not the technology. In this episode, Ramon Rodriguez sits down with Brad Granger, Managing Director at Podium, to unpack why Australian executives keep getting burned by AI pilots and how to escape the “Test‑First Trap.”Brad shares a practical framework and three critical questions every CEO and CFO must ask before approving the next AI project.​You’ll learn:Why AI pilots stall in “Pilot Purgatory” and how to move to real, measurable ROI.​The three questions that stop bad AI investments before they start.​How to treat AI agents like employees, with onboarding, KPIs, and performance management.​How to design AI for both efficiency and growth, instead of trading one off against the other.​The data, people, and process foundations that actually make AI work in an Australian enterprise.​How to balance automation speed with governance, customer experience, and risk.​This episode is for CEOs, CFOs, and Australian business leaders who tried AI, were disappointed by pilots, and now want a concrete roadmap to real outcomes.​Key Takeaways:The “Test‑First” Fallacy: Why treating AI like a science experiment guarantees failure, and how to shift to an outcome‑based investment model.​The 3 Critical Questions: A simple vetting framework for executives to prevent wasted AI capital.​AI as an Employee: How to “hire” AI agents with clear roles, onboarding, KPIs, and accountability.​Balancing Control vs Speed: How to automate customer experiences without losing the human touch or governance.​[00:00] Introduction: The crisis of stalled AI pilots in Australian enterprises.​[00:35] The “Test‑First Trap”: Why your AI pilot was doomed from day one.​[03:10] Efficiency vs Growth: Solving the AI ROI equation for executives.​[08:45] Executive Framework: The 3 questions to ask before signing off on a pilot.​[15:20] The “Hiring” Mindset: Treating AI like a staff member, not a software tool.​[22:00] Change Management: Getting your team to adopt, not fight, AI.​[28:30] Automation vs Experience: Managing the trade‑offs between speed, control, and CX.​[34:00] Action Plan: Immediate steps to rescue your AI strategy and escape Pilot Purgatory.​Is your business ready to move beyond AI pilots?Take the 2-minute AI Readiness Scorecard and get your personalised risk assessment: HERESUBSCRIBE TO APPLIED AI AUSTRALIAAll you need to know in one place, specifically for Australian Executives and Organisational leaders. Frameworks you can apply in 48 hours.📧 Newsletter: Here🎙️ Podcast: Subscribe on Apple Podcasts | Spotify |ABOUT APPLIED AI AUSTRALIAApplied AI Australia helps Australian executives cut through AI noise and implement strategies that deliver real business outcomes. Every week, we translate AI into practical actions for growth, efficiency, and ROI.

Episode Title:The Death of the Search Bar: Mastering Intent Resolution | Anthony Mittelmark, Ex-PwC PartnerEpisode Description:Australian online retail is a $65B market, but up to $19B of that is now influenced by AI-led curation, not traditional search. If your strategy relies on customers typing keywords into a box, you are optimizing for the past.In this episode, Anthony Mittelmark (Ex-PwC Partner & Ex-CTO, Fujitsu) joins us to dismantle the traditional "Linear Customer Journey." We explore the rise of Intent Resolution—where AI agents don't just find links, they execute decisions.We discuss the strategic pivot required for Australian executives: moving from "Traffic Acquisition" (SEO/SEM) to "Utility-Led Value" to survive the age of Agentic AI.Key Takeaways:The $19B Disruption: How AI-led curation is cannibalizing traditional search traffic and what this means for your customer acquisition costs (CAC).Intent Resolution: Why the future belongs to brands that can resolve a customer's intent (solve the problem) instantly, rather than just providing information.The Rise of AI Agents: Preparing your digital infrastructure for a world where your "customer" is a software bot, not a human.Startups vs. Incumbents: Why legacy data structures are preventing ASX leaders from pivoting, and how startups are leveraging "Utility" to steal market share.Timestamps:[00:00] The $19B Risk: Why AI is eating search traffic.[04:15] The Death of the Linear Journey: Moving beyond the funnel.[09:30] Intent Resolution: The new metric for commercial success.[15:45] Agentic Markets: When your customer is an AI, not a human.[24:20] Data Strategy: Why legacy data silos kill AI transformation.[31:10] Executive Action Plan: How to audit your business for AI readinessSUBSCRIBE TO APPLIED AI AUSTRALIAThe #1 source for Applied AI strategy for the Australian C-Suite. Frameworks you can apply in 48 hours.📧 Newsletter: https://rebrand.ly/9uyuanaABOUT APPLIED AI AUSTRALIAApplied AI Australia helps senior leaders cut through the noise and deliver practical outcomes: growth, margins, and time. We translate AI into executive action every Monday and Friday.​

Why AI Fails: The Hidden "Data Gap" Killing ROI | Samir Ghoudrani, AI DirectorEpisode Description:72% of Australian enterprises aren’t seeing measurable ROI from their AI spend. On average, companies are burning $28M in CapEx, yet most projects never deliver shareholder value.In this episode, Samir Ghoudrani (Data Scientist & AI Director) joins us to expose the "Invisible Layer" costing boards millions: the gap between your raw data and your AI models.If you treat AI like a magic box rather than a reasoning engine, your budget will deliver zero ROI. Samir breaks down the 4-person team structure required to make AI work and how to use AI to fix your data problems—before you try to fix your business.Key Takeaways:The $28M Reality Check: Why 72% of Australian enterprises are seeing zero return on their AI investment.The Data Paradox: Why you have "too much information" but "not enough wisdom"—and how to bridge the gap.The Mandatory "AI Squad": The specific 4-person team structure required for success (most orgs are missing at least two of these roles).AI as a Janitor: How to use AI to clean and structure its own data, fixing the bottleneck that stalls 90% of projects.Knowledge Transfer at Speed: Case study: How one org captured a 20-year employee’s knowledge in 6 weeks instead of 6 months.Timestamps:[00:00] The CapEx Crisis: Why $28M investments are returning $0.[03:15] The "Invisible Layer": The data gap executives don't see.[08:40] Team Structure: Who you actually need to hire (it's not just data scientists).[14:20] The Reasoning Engine: Shifting your strategy from "Database" to "Logic."[22:10] Framework: Samir’s 5-step path from awareness to implementation.[31:00] Board Strategy: The one question you must ask vendors to expose vaporware.Links:Connect with Samir Ghoudrani on LinkedIn: https://www.linkedin.com/in/samir-ghoudrani/Download the free AI Adoption Scorecard: HERESUBSCRIBE TO APPLIED AI AUSTRALIAThe #1 source for Applied AI strategy for the Australian C-Suite. Frameworks you can apply in 48 hours.📧 Newsletter (Applied AI Australia): https://appliedaiaustralia.substack.com/aboutGot questions? Need advisory? Reach out: [email protected] APPLIED AI AUSTRALIAApplied AI Australia helps senior leaders cut through the noise and deliver practical outcomes: growth, margins, and time. We translate AI into executive action every Monday and Friday.

In this episode of Applied AI Australia, I launch the new In Practice series, focused on how leaders are using AI to drive real business outcomes.I sit down with John Foong, recent Chief Commercial Officer at Domain and a global tech operator in executive leadership roles at both Uber and Google. He brings a very direct view on what actually moves the needle with AI.John shares a simple filter he has used consistently: if it does not increase revenue or reduce cost, it is noise.You will hear insights on:• Leading digital transformation at scale across industries• Where AI is actually delivering returns in real estate• Why most AI pilots stall and what it takes to get adoption• The people and culture factors that decide whether AI sticks• How execs can assess AI with curiosity and a clear commercial lensIf you are a CEO, board member, executive or business leader, this episode gives a straight view on how AI should be approached.00:00 Introduction to Applied AI Australia00:33 Introducing John Fong: A Journey Through Tech Giants01:56 Lessons in Transformation and Innovation05:56 The Hype and Reality of AI06:45 AI in Practice: Real-World Applications10:22 Insights from Google: Early AI Implementations18:26 Governance and Risk in AI Adoption21:18 Practical AI Products at Domain25:53 Future of AI: Opportunities and Challenges31:17 Conclusion and Final ThoughtsGot questions? Connect with me:Website - www.appliedaiaustralia.com.auBlog - appliedaiaustralia.substack.comLinkedin - linkedin.com/in/ramonrodEmail - [email protected]

Agentic AI in the Boardroom: Who's Accountable When AI Acts?OpenAI dropped Atlas, their new agentic browser. Within hours, executives across Australia were texting me asking: "Should we use this?"Wrong question.The right question: Who owns decisions your browser makes when it's authenticated in your profile and making decisions on your behalf?In this episode, Ramon Rodriguez breaks down the agentic browser revolution, and the governance gaps no board has answered yet. This is essential listening for CEOs, CFOs, and board members responsible for AI oversight.What You'll Learn:​OpenAI's Atlas vs. Perplexity's Comet—what they do with your credentials​Live demo: Comet analyzing Gmail, board papers & M&A financials in 25 minutes​Four governance gaps: credentials, prompt injection attacks, data sovereignty, accountability​Key stat: 28% of enterprises had Atlas downloaded within one week, with no IT approval​When to deploy agentic browsers (and when to wait)Key Takeaway: 42% of Australian firms have no AI governance procedures. Atlas just forced that decision forward by six months.CONNECTLinkedIn Newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7361367802600935424YouTube: @AppliedAIAustraliaWebsite: www.appliedaiaustralia.com.auABOUT APPLIED AI AUSTRALIAThis show cuts through the noise and delivers only on what matters: growth, margins, and time. Each week, Ramon Rodriguez translates AI into practical outcomes leaders can actually use.You can't control the speed of change, but you can control how quick you adapt.DISCLAIMERThis episode provides educational information about AI governance and is not legal, financial, or compliance advice. Consult your legal and IT security teams before deploying agentic AI tools in your organization.© 2025 Applied AI Australia. All rights reserved.

Ramon unpacks zero-FTE departments, agentic task equivalence (TEA), and the audit trail every board expects. With Australian case studies from Telstra and Woolworths, you’ll learn what to automate first and a four-step rollout you can run in 48 hours. Lead people and agents with confidence, and turn efficiency into EBITDA and imagination.00:00 Introduction to Applied AI Australia00:20 The Leverage of AI in Leadership00:52 AI Agents in the Workforce01:36 The Future of Organisational Structure03:03 Managing AI Agents Effectively03:57 Real-World Examples and Data09:21 Steps to Implement AI Agents11:09 Conclusion and Final ThoughtsWeekly Newsletter : Subscribe on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7361367802600935424Website : www.appliedaiaustralia.com.au

The AI Execution Playbook: Turning AI into Measurable Business ResultsIn this episode of Applied AI Australia, Ramon Rodriguez highlights the critical importance of AI adoption for businesses to stay competitive. He discusses the high failure rate of AI pilots and the substantial returns for those who execute effectively. The episode introduces the AI impact loop, emphasizing the importance of utilizing existing teams, clear financial attribution, and starting AI initiatives in assist mode. Rodriguez underlines the necessity of practical, step-by-step execution over chasing 'shiny' new AI tools and provides actionable insights for achieving measurable results within 90 days, including a one-hour bottleneck workshop, setting guardrails, and ensuring disciplined execution. Download the free AI Adoption Scorecard for practical next steps: https://appliedaiaustralia.com.au. Subscribe to the newsletter: https://appliedaiaustralia.substack.comSubscribe to Youtube:www.youtube.com/@AppliedAIAustralia00:00 Introduction to Applied AI Australia00:21 The AI Opportunity and Execution01:02 The AI Impact Loop02:02 Common Pitfalls in AI Implementation03:15 Empowering Internal Teams04:53 Steps to Successful AI Deployment11:48 Guardrails for AI Implementation15:37 Summary and Final Thoughts

In this episode of Applied AI Australia, Ramon Rodriguez highlights the transformative impact of AI on the customer journey. He shares a personal experience where AI, specifically Perplexity, streamlined his decision-making process to invest over $10,000 in home renovations without visiting a traditional website. Ramon highlights how businesses can capture 'invisible customers' and adapt to the new AI-driven decision-making landscape. He outlines three actionable steps for businesses to enhance their AI visibility: ensuring digital clarity, creating answer assets, and building authority through credible sources. The episode underscores the urgency for businesses to integrate AI strategies to remain competitive as AI's influence rapidly grows.00:00 Introduction to Applied AI Australia00:22 The Power of AI in Everyday Decisions03:12 The Invisible Customer Phenomenon04:59 AI's Influence on Business Decisions09:50 The Changing Customer Journey13:15 Three Moves to Capture Invisible Customers15:50 Conclusion and Call to Action

Unlocking Strategic Decision-Making with AI: The Power of Structured PromptingMost executives think prompting is about clever questions. With GPT-5, that’s outdated. The real advantage is structured briefing - managing AI like you would a consultant.In this episode of Applied AI Australia, Ramon Rodriguez shares how structured prompting turns GPT-5 into a boardroom asset, delivering consulting-grade intelligence in hours, not weeksAs promised, here’s what to put in custom settings:1️⃣ Assign a role & scope the mandate→ Tell the AI who it is (e.g., “You are a strategic consultant to a mid-market CFO”) and what it’s responsible for.2️⃣ Control reasoning depth→ Specify when it should go step-by-step versus when you want a concise, high-level summary.3️⃣ Specify the deliverable→ Define the output format upfront (e.g., board brief, 2x2 matrix, table) and set length (e.g., <800 words).4️⃣ Install a feedback loop→ Instruct the AI to ask clarifying questions before advising if your prompt is missing context.5️⃣ Sequential prompting to stress-test decisions→ Use structured steps like a premortem, scenario analysis, or a skeptical board review to challenge assumptions and strengthen recommendations.Ramon also introduces a 48-Hour Strategic Briefing Challenge and the free AI Adoption Scorecard, giving non-technical executives a practical playbook to accelerate smarter decisions and stay competitive.👉 Download the AI Adoption Scorecard: appliedaiaustralia.com.au👉 Join the newsletter: appliedaiaustralia.substack.comChapters00:00 — Introduction to Applied AI Australia00:25 — The reality for mid-market Australian executives02:01 — Leveraging AI for strategic decision-making04:17 — The evolution and challenges of AI tools08:57 — Crafting effective AI prompts10:46 — Five principles for AI briefing14:03 — Sequential prompting for strategic value16:35 — Conclusion + strategic briefing challenge

In the launch of Applied AI Australia, Ramon Rodriguez unpacks the rapid rise of AI and what it means for business leaders who don’t come from a technical background. Drawing parallels with the fall of the Yellow Pages, he shows why companies that delay risk being left behind.Ramon highlights how AI adoption is moving faster than any past technology wave, already reshaping industries and decision cycles. He shares his own experiences of applying AI to overcome resource constraints and deliver measurable results, making the case that AI is not a future project — it’s today’s competitive advantage.Download scorecard or get in touch - https://appliedaiaustralia.com.auThis episode is designed to give non-technical executives a clear entry point: practical guidance, an AI adoption scorecard, and simple workflows you can act on within 48 hours. • The Rise and Fall of the Yellow Pages • Technological Revolutions: • AI’s Unprecedented Growth • Introduction to Applied AI Australia • Personal Journey: Embracing AI • AI in Business: Practical Applications • The Power and Potential of AI • The Uncertainty and Fear • The AI Preparedness Gap • Leveraging AI Without Coding Skills • Spotting AI Opportunities • The Importance of AI Literacy • Generative AI for Everyone • AI’s Impact on Jobs • The Future of AI in Business • Principles for AI Adoption • Stages of AI Integration • Staying Updated with AI Trends • Conclusion and Next Steps