Using AI at Work: AI in the Workplace & Generative AI for Business Leaders

Send us Fan MailMost manufacturers are chasing the wrong AI problem. In this episode Chris talks with Bryan DeBois, Director of Industrial AI at RoviSys, about why industrial AI for manufacturing requires a different approach than generative AI.Bryan explains the limits of generative AI on the plant floor, why deterministic systems matter in high risk environments, and how analytical AI, predictive AI, computer vision, and autonomous AI are already being used to improve quality, safety, throughput, and asset performance. Leaders should listen to understand how industrial AI can protect expertise, strengthen operations, and create practical advantage beyond the ChatGPT conversation.Chapters:00:00 Introduction01:16 Why Factory Floor AI Is Different From Knowledge Work AI03:58 The Four Types of AI Used in Manufacturing Today05:50 Why Generative AI Fails in High Risk Operational Environments10:56 Manufacturing Risks Also Apply to Construction and Life Sciences11:36 The Workforce Crisis Driving Industrial AI Adoption15:26 Why Manufacturing Careers May Be Safer Than White Collar Jobs20:42 Why Humanoid Robots Are Not the Future of Manufacturing24:53 Capturing Tribal Knowledge Before Experts Retire40:00 Who Should Own AI Inside Manufacturing Organizations43:24 Meta’s Cicero Project and the Future of Hybrid AI Systems47:08 Deterministic AI vs Probabilistic AI in Critical Industries49:27 Where to Follow Brian De Bois and Learn More About Industrial AIResources:🔎 Find Out More About Bryan DeBoisBryan DeBois on LinkedIn:https://www.linkedin.com/in/bryan-deboisRoviSys Industrial AI: https://www.rovisys.com/aiRoviSys:https://www.rovisys.com🛠 AI Tools and Resources Mentioned:ChatGPT: https://chatgpt.com/Claude: https://claude.com/Grok: https://grok.com/Meta AI CICERO: https://ai.meta.com/research/ciceroGoogle DeepMind AlphaGo: https://deepmind.google/research/breakthroughs/alphagoMicrosoft HoloLens: https://www.microsoft.com/hololensObsidian: https://obsidian.mdSAP:https://www.sap.com

Send us Fan MailMost AI strategies fail because the organization never changes. In this episode Chris sits down with Melissa Reeve, creator of the Hyperadaptive Model and author of an upcoming book on AI-native organizations, to explore why legacy structures block AI progress and what leaders must redesign to unlock real value.They discuss how companies can move from siloed, handoff-heavy operating models to adaptive systems built for continuous learning, faster decisions, and human-centered execution. Leaders responsible for transformation, growth, or operating performance will gain a practical lens for turning AI ambition into sustainable organizational change.Chapters:00:00 Introduction00:00 Meet Melissa Reeve and the Hyperadaptive Model00:00 Why Legacy Operating Models Limit AI Results00:00 Moving Beyond Automation Thinking00:00 The Shift to AI-Native Organizations00:00 Redesigning Roles, Teams, and Workflows00:00 Building a Human-Centered AI Transformation Strategy00:00 Creating Continuous Learning Systems00:00 How Leaders Scale AI Adoption Across the Business00:00 What the Future Organization Looks Like🔎 Find Out More About Melissa ReeveMelissa Reeve LinkedIn https://www.linkedin.com/in/melissamreeveHyperadaptive Solutionshttp://hyperadaptive.solutionsBook Waitlisthttps://hyperadaptive.solutions/bookBlueprint Sessionhttps://hyperadaptive.solutions/why-us#contactForm🛠 AI Tools and Resources Mentioned:AI Integration Guidehttp://hyperadaptive.solutionsAI Learning Flywheel Ebookhttp://hyperadaptive.solutions/flywheel-ebookApplied AI Workshop http://hyperadaptive.solutions/labs

Send us Fan MailMost companies want innovation, but few can tolerate unpredictable tech costs. In this episode Chris talks with Matt Strippelhoff, Partner, CEO / CRO of Red Hawk Technologies, about how mid-market companies can approach software development with greater financial control and operational confidence. They explore why traditional project models often create risk, and how recurring service models can better align technology execution with business goals.Matt shares lessons from leading web, mobile, integration, maintenance, and emerging AI initiatives while maintaining strong long-term client retention. Leaders will hear practical ideas for reducing technology uncertainty, modernizing critical systems, and creating a more dependable path to innovation, making this episode well worth your time.Chapters:00:00 Introduction00:45 Why Mid-Market Companies Struggle with Tech Spend02:10 The Problem with Traditional Project Pricing04:05 A Fixed Fee Model for Software Development06:20 Reducing Operational Risk Through Predictability08:00 Modernizing Legacy Applications10:15 Building Web, Mobile, and Middleware Solutions12:05 Where AI Assistants Fit Into Business Operations14:10 Driving Retention Through Better Delivery Models16:00 Leadership Lessons for Scaling Technology Investments🔎 Find Out More About Matt StrippelhoffMatt Strippelhoff LinkedInhttps://www.linkedin.com/in/redhawktech/ Red Hawk Technologieshttps://www.redhawk-tech.com/🛠 AI Tools and Resources Mentioned:Claude https://claude.aiChatGPThttps://chat.openai.comGoogle Firebase Studiohttps://firebase.google.com/Gemini https://gemini.google.com/Cursor https://cursor.com/Salesforcehttps://www.salesforce.com/

Send us Fan MailMost leaders are asking the wrong AI question. In this episode Chris sits down with Evan J Schwartz, technology leader, adjunct professor, and Chief Innovation Officer, to discuss why AI should be used for growth, not simply cost cutting.Evan shares his vision for the future organization: flatter companies, human stewards managing AI agents, and teams focused on strategy, relationships, and judgment while automation handles repetitive execution. They also explore AI in education, workforce development, sustainability, and why leaders who wait may lose to faster-moving competitors. If you want a practical framework for using AI to grow smarter without losing your people advantage, this episode is worth your time.Chapters00:00 Introduction02:05 Chris Introduces Evan J Schwartz03:40 Person Plus AI vs Doom and Gloom Narratives08:30 Which Industries AI Will Disrupt First09:23 Mentoring Global Students Solving Real Problems with AI11:12 How AI Could Reduce Food Waste at Scale18:30 What Colleges Are Getting Wrong About AI23:38 Why Companies That Wait Will Fall Behind31:19 The Rise of the Steward Role in Business41:30 Use AI for Growth, Not Headcount Cuts🔎 Find Out More About Evan J SchwartzEvan J Schwartz LinkedIn https://www.linkedin.com/in/evan-schwartz-liveAMCS Grouphttps://www.amcsgroup.com🛠 AI Tools and Resources Mentioned:ChatGPT https://chat.openai.comAnthropic Claudehttps://www.anthropic.com/claudeDockerhttps://www.docker.comSAP https://www.sap.comChief AI Officer https://chiefaiofficer.com

Send us Fan MailMost companies think they are “doing AI” but are still stuck in single-player mode.In this episode Chris talks with Marc Boscher, Founder and CEO of Unito, a workflow integration platform, about why AI adoption breaks down at the organizational level. Marc explains that the real barrier is not model capability, but fragmented systems, missing context, and lack of trust. He introduces the shift from prompt engineering to context engineering, and why connecting systems and data is the key to unlocking AI that works across teams, not just for individuals.The conversation explores how leaders can move from isolated productivity gains to true enterprise impact by building context libraries, enabling dynamic data access, and reducing operational friction. Marc also breaks down the importance of trust, deterministic vs non-deterministic systems, and why change management remains the biggest challenge. This episode gives leaders a practical lens for turning AI from a tool employees use into infrastructure the business runs on.Chapters:00:00:00 Introduction00:00:36 Why Trust and Context Are Critical for AI Agents00:01:00 Context vs Prompts: What Actually Matters00:03:48 Single Player vs Multiplayer AI in Business00:06:30 Why Context Unlocks Enterprise-Level AI Value00:08:28 What “Context” Really Means in AI Systems00:11:34 Building Context-Rich AI Use Cases (Sales Example)00:13:42 Static vs Dynamic Context Explained00:20:12 Why Context Engineering Replaces Prompt Engineering00:24:04 From Human-in-the-Loop to Autonomous AI Systems00:27:29 The Context Gap and Operational Inefficiency00:36:01 Why Change Management Is the Real Bottleneck00:42:03 Deterministic vs Non-Deterministic AI Systems🔎 Find Out More About Marc Boscher:LinkedIn: https://www.linkedin.com/in/marcboscher Unito: https://unito.io 🛠 AI Tools and Resources Mentioned:Unito – https://unito.ioSalesforce – https://www.salesforce.comServiceNow – https://www.servicenow.comGitHub – https://github.comHubSpot – https://www.hubspot.comNetSuite – https://www.netsuite.comWorkday – https://www.workday.comChatGPT – https://chat.openai.comClaude – https://claude.aiGemini – https://gemini.google.comCopilot – https://copilot.microsoft.com

Send us Fan MailMost leaders think AI agents are too technical to build, but the real barrier is not skill, it is clarity.In this episode Chris talks with Etan Polinger, AI Solutions Architect and Head of AI Solutions, about how non-technical professionals can design, build, and deploy AI agents that drive real business outcomes. Etan breaks down what an agent actually is, how to think about automation versus agentic workflows, and why fundamentals matter more than tools in a rapidly changing AI landscape.They explore practical examples from inbox automation to project intelligence systems, along with the frameworks Etan uses to help operators move from idea to deployed solution. If you want to move beyond AI curiosity and start building systems that create leverage inside your business, this episode shows you where to begin and how to think about it.Chapters:00:00 Introduction00:12 Why Asking Better Questions Unlocks AI00:33 What Is Actually Possible With AI Today00:52 What an AI Agent Really Is01:46 Bridging AI Hype and Real Execution03:05 Why Non-Technical People Can Now Build05:19 Where Business Leaders Should Start08:52 Real Examples of AI Agents in Action13:57 The Right Way to Start Building With AI17:36 How Long It Takes to Learn This Skill22:13 Why Your AI Builds Keep Breaking33:29 Common Mistakes When Building Agents38:02 The SCOUTS Framework Explained44:20 The Most Powerful Question You Can Ask AI🔎 Find Out More About Etan PolingerLinkedIn: https://www.linkedin.com/in/etan-polinger 🛠 AI Tools and Resources MentionedAI Agents + Automation Certificationhttps://www.CAIO.cx/agentChatGPT (OpenAI)https://chat.openai.comClaude (Anthropic)https://claude.aiOpenAIhttps://openai.comCursor (AI Code Editor)https://cursor.shLovable (AI App Builder)https://lovable.devOpenClaw (AI Agent Framework)https://github.com/openclaw/openclawN8N (Workflow Automation)https://n8n.ioSalesforcehttps://www.salesforce.comNotionhttps://www.notion.soPerplexity AIhttps://www.perplexity.aiContext7 (Code + Documentation Tool)https://context7.comChief AI Officer Programhttps://chiefaiofficer.com

Send us Fan MailMost leaders assume AI in customer service means replacing people, but the data tells a more complicated story.In this episode Chris talks with Nathan Strum, CEO of Abby Connect, about what actually works when deploying voice AI in real business environments. Drawing on two decades of customer service experience, Nathan explains why AI excels at structured workflows like scheduling, but still struggles with unpredictable edge cases where human judgment matters most. He also shares why many companies that experiment with full automation quietly return to human support, and how Abby is growing both its AI and human workforce at the same time.The conversation goes deeper into practical implementation, including where AI is safe to deploy today, why outbound AI calling is a high-risk move, and how to design systems that combine speed, scalability, and trust. Nathan also outlines a leadership approach to AI adoption that focuses on reducing friction across systems, reskilling employees, and using AI to enhance rather than replace human capability. This episode gives leaders a grounded, experience-based framework for deciding where AI belongs in their customer experience strategy.Chapters:00:00 Introduction01:00 Where Voice AI Delivers Immediate Value02:29 Introducing Abby’s AI + Human Strategy04:21 The Limits of AI in Real Customer Interactions06:52 Best Use Cases: AI Scheduling vs Human Sales Calls08:30 Why AI Adoption Is Increasing Human Headcount11:04 Lessons from Failed “AI-Only” Customer Service Experiments15:23 Where AI Is Safe vs Risky in Phone Workflows17:31 Why Transparency About AI Improves Customer Trust23:06 The Future of Offshore, AI, and Voice Technology27:29 AI as a System Redesign Tool, Not Just Cost Reduction29:56 Managing Employee Fear During AI Adoption32:57 Selling Outcomes Instead of AI Products35:18 How to Evaluate AI Vendors in Customer Experience🔎 Find Out More About Nathan StrumAbby Connect Websitehttps://www.abbey.comLinkedInhttps://www.linkedin.com/in/nathanstrumhttps://www.linkedin.com/company/abby-connect/Facebook https://www.facebook.com/abbyconnect/X: https://x.com/abbyconnectWebsite: https://www.abby.com/🛠 AI Tools and Resources MentionedOpenAIhttps://openai.comAnthropichttps://www.anthropic.comGoogle Geminihttps://gemini.google.comElevenLabshttps://elevenlabs.io

Send us Fan MailMost companies aren’t struggling to buy AI, they’re struggling to use it well.In this episode Chris sits down with Jim Spignardo, Director of Cloud Strategy and AI Enablement at ProArch, to break down what’s really happening inside organizations adopting AI today. Jim shares why many companies are stuck after purchasing licenses, how to move from experimentation to structured adoption, and what separates companies seeing real ROI from those chasing hype. He outlines a practical playbook that starts with executive alignment, prioritizes high-value use cases, and builds toward secure, governed AI systems that scale.They also explore how organizations can recoup AI investments within months, why data governance is the hidden foundation of success, and how to balance rapid innovation with risk management as agents and automation evolve. If you’re leading AI adoption or trying to turn early momentum into measurable business value, this episode offers a clear, experience-backed path forward.Chapters:00:00 Introduction00:14 Where Companies Are Today in Their AI Journey00:49 The Future: AI, Robotics, and What’s Next01:30 Why AI Strategy Matters for Business Leaders02:38 Common Challenges: Risk, Use Cases, and Leadership Gaps05:06 Building an AI Adoption Playbook06:23 From Buying Licenses to Lacking Direction10:00 What Executives Need to Understand About AI13:01 The Shift from Productivity Tools to AI Agents17:47 How Long It Takes to See Real Results19:25 Measuring ROI and Tracking AI Value22:12 Real Example: AI Improving RFP Win Rates30:12 Change Management and Driving Adoption31:16 Training, Governance, and Building AI Culture40:12 Managing Risk While Enabling Innovation45:04 What’s Next: AI + Robotics Convergence🔎 Find Out More About Jim SpignardoLinkedIn: https://www.linkedin.com/in/spignardo ProArch: https://www.proarch.com🛠 AI Tools and Resources Mentioned:Microsoft Copilothttps://www.microsoft.com/en-us/microsoft-365/copilotMicrosoft Defender for Cloud Appshttps://learn.microsoft.com/en-us/defender-cloud-apps/what-is-defender-for-cloud-appsMicrosoft Purview (Data Loss Prevention & Information Protection)https://learn.microsoft.com/en-us/purview/Azure OpenAI Servicehttps://azure.microsoft.com/en-us/products/ai-services/openai-serviceOpenAI / ChatGPThttps://chat.openai.comClaude (Anthropic)https://www.anthropic.com/claudeCursor (AI coding assistant)https://www.cursor.sh

Send us Fan MailWhat happens when the AI tool helping you scale your business also gains permanent rights to your voice?In this episode Chris talks with Jesse Jameson, digital marketing veteran and founder of HeyNow Interactive, about the opportunities and emerging risks inside the generative AI ecosystem. Jesse shares his experience participating in a voice licensing program with ElevenLabs, where his AI voice quickly became one of the most widely used on the platform. What began as a simple experiment in passive income through voice cloning eventually uncovered deeper questions around creator consent, data ownership, and how AI companies structure their business models.The conversation explores how leaders should think about AI adoption today, including the tension between rapid innovation and responsible governance. From biometric data rights and AI regulation to the strategic reality that businesses cannot afford to ignore generative AI, Jesse and Chris discuss how executives can embrace AI’s advantages while remaining thoughtful about the risks that come with it. This episode offers an important perspective for leaders navigating AI adoption in a rapidly evolving landscape.Chapters:00:00 AI Voice Licensing and the Start of a Major Discovery00:45 Introducing Jesse Jameson and the Rise of AI Voice Technology03:15 From Early Internet Marketing to the Age of AI04:22 Joining the ElevenLabs Voice Actors Program06:13 Discovering Discrepancies in Voice Usage and Payments08:29 The Consent Problem and Hidden Licensing Terms10:31 Regulatory Questions and Biometric Data Laws12:15 The Hidden Risks of Using Generative AI Tools17:21 Bias, Control, and the Influence of AI Models26:23 Investigating Platform Abuse and Free Voice Usage36:29 Documenting the Experience and Reporting to Regulators44:06 Practical Advice for Leaders Using New AI Tools🔎 Find Out More About Jesse JamesonLinkedIn: Jesse JamesonSubstack: @jpjamesonYoutube: @jpjamesonWebsite: https://11laudit.comThe Voice Cloning Scam That Hit $11 Billion: https://www.youtube.com/watch?v=2wPdQyrWhl0&t=2s Book: The Conversation You Can't Explain: Finding Yourself in the Age of AI🛠 AI Tools and Platforms MentionedElevenLabs:https://elevenlabs.io/ OpenAI:https://openai.com/ Anthropic:https://www.anthropic.com LLaMA:https://www.llama.com 

Send us Fan MailThe real challenge with AI is not the technology, it is knowing when leaders should trust the machine and when they should not.In this episode Chris sits down with Vasant Dhar, professor at NYU Stern and the NYU Center for Data Science, longtime AI practitioner, and author of Thinking with Machines: The Brave New World of AI. With more than four decades working in artificial intelligence across finance, healthcare, and research, Dhar shares a practical framework for deciding when leaders should trust AI and when human oversight still matters. His “trust map” evaluates two variables: how often the system is wrong and the consequences of its errors.The conversation also tackles why so many AI pilots fail, why fear rather than greed is driving AI adoption in many organizations, and how leaders should prioritize their first AI initiatives. Dhar explains why deep domain knowledge becomes even more valuable in the AI era, why executives must understand their data before deploying AI, and why the future belongs to people who learn to think with machines rather than simply ask them for answers. Leaders who want a clearer way to evaluate AI opportunities and avoid costly missteps will find this discussion well worth their time.Chapters00:00 Introduction03:23 The Origin of the “Trust AI” Question05:14 The Trust Framework: Predictability vs Cost of Error07:01 Crossing the Automation Frontier09:07 The Three Barriers Holding Leaders Back from AI11:51 Why 95% of AI Projects Fail14:39 How Leaders Should Choose Their First AI Projects19:17 Fear vs Greed in Today’s AI Adoption25:20 Why Leaders Should “Think Slowly” About AI Strategy44:16 The Bifurcation of Humanity in the Age of AI🔎 Find Out More About Vasant DharWebsite:https://vasantdhar.com Book: Thinking with Machines: The Brave New World of AIPodcast: Brave New WorldSubstack Newsletter:https://vasantdhar.substack.com🛠 AI Tools and Resources MentionedChatGPThttps://chat.openai.comClaudehttps://claude.aiGrokhttps://x.aiChief AI Officer (Sponsor)https://chiefaiofficer.comUsing AI at Workhttps://usingaiatwork.com

Send us Fan MailMost leaders aren’t struggling with AI tools, they’re struggling with how to lead the transformation those tools require.In this episode, Chris interviews Justin Trombold, President of Antesyn Advisors who works with leadership teams navigating the uncertainty of generative AI strategy across industries from healthcare to enterprise services. During the conversation, he explains why most organizations go wrong by treating generative AI as an IT deployment rather than a transformation initiative, centralizing tool decisions while failing to connect use cases to business strategy, incentives, and operating models.Chris and Justin unpack what it actually looks like to deploy AI in the real world: separating enterprise strategy from use-case experimentation, starting small with tightly defined pilots, defining KPIs before declaring success, and anticipating downstream bottlenecks that AI acceleration often creates. They also explore why cross-functional collaboration, incentive alignment, and curiosity matter more than technical horsepower — and why leaders must shift from “installing AI” to building organizational readiness for it.If you want a practical lens for turning generative AI into measurable advantage — without triggering organizational friction — this episode is for you!Chapters:(00:00) Introduction(02:01) Meet Justin Trombold(05:03) What Companies Get Right — and Wrong — About Generative AI(07:38) Why Generative AI Is Not an IT Project(08:55) Centralizing Tools, Decentralizing Use Cases(16:31) Who Should Be in the Room for AI Strategy(17:28) Enterprise Strategy vs. Use Case Execution(20:15) When AI Just Shifts the Bottleneck(29:40) The Five Pillars of AI Readiness(33:18) Designing Small AI Experiments That Scale(41:09) Building Real AI Fluency Inside Your Organization🔎 Find Out More About Justin TromboldWebsite: https://www.antesynadvisors.comLinkedIn: https://www.linkedin.com/in/trombold 🛠 AI Tools and Resources MentionedChatGPT (OpenAI)https://chat.openai.comClaude (Anthropic)https://claude.aiGemini (Google)https://gemini.google.comGrok (xAI)https://x.ai

Send us Fan MailBefore you spend another dollar on ads, what if you could test your message against a digital version of your exact market?In today’s episode, Justin Brooke, founder of AdSkills and Agent Skills AI, joins Chris Daigle to break down how synthetic audiences and virtual focus groups are transforming modern marketing. After getting his start interning for Russell Brunson and famously turning $60 into six figures with Google Ads, Justin has spent two decades mastering message-to-market match. Now, he’s using AI to simulate highly detailed customer personas, running ads, landing pages, and even full funnels through structured “virtual focus groups” before a single dollar is deployed.In this conversation, Justin explains how to build high-quality AI personas using real demographic, psychographic, and empathy-map data; how multi-persona scoring systems are outperforming gut instinct; and why this approach may soon become the first step in every serious marketing strategy. He also shares his perspective on emerging agent frameworks like  OpenClaw, the security implications leaders need to consider, and where AI is realistically delivering value today—without hype.If you want a practical framework for reducing marketing risk and increasing message precision before you go live, this episode will reshape how you think about AI in your growth strategy.🔎 Find Out More About Justin BrookeX: @IMJustinBrookeWebsite: https://www.adskills.com🛠 AI Tools and Resources MentionedMindStudio - https://mindstudio.aiMake – https://www.make.comClaude – https://claude.aiOpenAI – https://openai.comDigitalOcean – https://www.digitalocean.comDocker – https://www.docker.comCrewAI – https://www.crewai.comLangChain – https://www.langchain.comFathom – https://fathom.videoChapters:00:00 Introduction03:13 “Virtual Focus Groups” and Why They Matter03:47 Justin’s Origin Story: From Intern to Advertiser08:45 From Personas to Synthetic Audiences15:24 How the System Produces Variations and Picks Winners20:09 How “Mad Men” Marketers React to Market Feedback22:21 Building Real ICPs: 1,000+ Words, Not One-Liners27:15 The New York Times “Digital Twin” and 92% Accuracy30:13 Tool Stack: MindStudio, Claude Projects, and Agent Frameworks35:16 OpenClaw, AI Agents & Security Considerations49:55 Staying Focused: Pick Your Lane in AI

Send us Fan MailMost companies are experimenting with AI. The leaders who win are rebuilding around it.In this episode, Chris Daigle sits down with Jason Eubanks, Co-Founder and CEO of Aurasell AI, to explore why incremental AI experiments aren’t enough—and why go-to-market teams must shift to an AI-native operating model. Jason explains why simply plugging AI into legacy systems won’t change your productivity model, and why companies that fully embrace intelligent automation now will create an advantage competitors won’t be able to close.They discuss how AI-native architecture can double productivity, eliminate CRM busywork, and cut onboarding time for sales teams by 50%. From removing copy-and-paste workflows to automating outreach, enrichment, and follow-up, Jason outlines what happens when AI doesn’t just provide insights—but executes. He also introduces Aurasell’s new GTM operating system that sits on top of existing CRMs like Salesforce and HubSpot, plus an agent builder that enables powerful AI-driven workflows through simple natural language prompts.If you’re looking to unlock real productivity gains—not just incremental improvements—this episode outlines what that shift actually requires.🔎 Find Out More About Jason EubanksLinkedIn: https://www.linkedin.com/in/jason-eubanks-a775ba🌐 Learn More About Aurasell AIhttps://aurasell.ai🛠 AI Tools and Resources MentionedAurasell GTM Operating Systemhttps://www.aurasell.aiChat Gpt https://chatgpt.com/ Salesforcehttps://www.salesforce.com/ HubSpothttps://www.hubspot.com Chapters:(00:00) Introduction(01:17) What “AI-native” really means (beyond chat wrappers)(03:02) The productivity gap: why incremental AI adoption fails(06:45) Urgency explained: first movers and 2–3x productivity gains(10:08) Fixing the broken B2B sales productivity model(12:27) Case study: carving out teams to go all-in on AI(15:07) The AI-native GTM platform and unified customer journey(21:26) Cutting onboarding time by 50% with intelligent automation(26:10) Eliminating sales busywork and manual CRM toil(28:46) Agentic workflows: natural language → automated execution

Send us Fan MailChris Daigle sits down with Hernan Lardiez, COO of RagMetrics, to break down AI evaluations (evals) and why monitoring matters when you put GenAI into production especially in regulated or high-risk environments.Hernan explains what “good evals” actually look like without getting lost in technical weeds: building test datasets, measuring accuracy and consistency, and then continuously re-testing so you can catch drift before it becomes a business problem.They compare the “spreadsheet + spot check” approach to automated eval pipelines that can run fast, repeatable tests at scale.The conversation also covers a practical way to think about pre-production testing vs. in-production monitoring, why token usage and cost should be part of evaluation, and how small RAG tuning decisions (like Top-K chunks) can improve accuracy while cutting token consumption.If you’re leading AI adoption and you want confidence not guesswork this episode will help you build the control points and guardrails to scale GenAI safely.🔎 Find Out More About Hernan LardiezHernan Lardiez on LinkedInhttps://www.linkedin.com/in/hlardiez/RagMetricshttps://ragmetrics.ai/🛠 AI Tools and Resources MentionedRagMetrics - https://ragmetrics.aiThe AI Exchange (Rachel Woods) - https://www.theaiexchange.com/Chief AI Officer -  https://www.chiefaiofficer.com/📌 Chapters00:00 Why regulated industries can’t “hope” with AI02:04 What model evaluations (evals) actually are05:08 The two audiences: business owner vs builders08:52 Pre-production testing vs in-production monitoring14:23 Why “monitoring is required” to reduce risk16:14 Manual spreadsheet grading vs automated evals18:01 Building test datasets + injecting through the pipeline31:21 Measuring accuracy AND token consumption (cost)34:01 Continuous evals to catch drift over time42:11 RAG tuning: Top-K chunks, accuracy vs noise, token savings49:21 Evals as “low-cost insurance” for production AI50:27 Closing advice: control points + IT boundariesIn this clip from the Using AI at Work podcast, we explore the challenges of AI implementation, particularly for organizations in regulated markets. The discussion highlights the critical role of effective risk management in navigating potential outcomes.We identify key stakeholders, like the business owner and the development team, who are crucial for understanding AI requirements and ensuring compliance. This session emphasizes the importance of strategic ai leadership and how ai business can integrate these considerations for successful operations management.

Send us Fan MailChris Daigle sits down with Bill Gallagher, leadership expert and longtime advisor to executives, to explore what it really means to use AI at work during periods of rapid organizational change. Bill shares why technology alone never drives transformation and how trust, clarity, and human leadership remain the deciding factors when AI enters the workplace.The conversation focuses on how leaders can introduce AI without creating fear, resistance, or confusion, how to avoid treating AI as a shortcut instead of a responsibility, and how strong leadership principles apply even more as automation increases. This episode is a practical guide for executives who want to adopt AI while maintaining credibility, alignment, and trust across their teams.🔎 Find Out More About Bill Gallagherhttps://www.linkedin.com/in/billgall/🛠 AI Tools and Resources MentionedChatGPTInternal AI tools within organizations📌 Chapters00:00 Introduction to Bill Gallagher04:12 Leadership challenges during AI driven change10:08 Why trust matters more than technology17:26 How leaders should talk about AI internally23:41 Avoiding fear and resistance during AI adoption30:05 The human role in AI driven organizations37:18 Leading with clarity in times of uncertainty43:02 Final thoughts on leadership and AI48:10 How to connect with Bill Gallagher

Send us Fan MailChris Daigle sits down with Kate Bravery, Global Head of Talent Advisory at Mercer, to explore how AI at work is reshaping people strategy, leadership, and workforce decision making. Kate shares how organizations are using AI to support talent planning, skills intelligence, and workforce design while navigating trust, governance, and ethical responsibility.The conversation focuses on how business leaders can adopt AI in the workplace without losing the human element. Kate explains why AI should augment judgment rather than replace it, how leaders can build confidence using AI powered insights, and what it takes to responsibly deploy AI across HR, talent, and leadership teams. This episode offers a grounded perspective on workplace AI adoption for executives who want progress without unintended consequences.🔎 Find Out More About Kate Bravery and MercerKate Bravery on LinkedInhttps://www.linkedin.com/in/katebraveryMercerhttps://www.mercer.com🛠 AI Tools and Resources MentionedChatGPThttps://openai.com/chatgptInternal AI systems used for workforce analytics and decision support📌 Chapters00:00 Introduction to Kate Bravery03:42 How AI is changing people strategy09:15 Using AI for workforce planning and skills insights15:28 Balancing human judgment with AI recommendations21:10 Building trust and confidence in AI systems27:44 Ethical considerations in workplace AI34:02 Leadership responsibility in AI adoption40:18 What executives should focus on next45:56 How to connect with Kate Bravery

Send us Fan MailIn this solo episode of Using AI at Work, Chris Daigle breaks from the interview format to share the AI tool stack he recommends to executives, leaders, and knowledge workers who want real value without chasing every new release.Chris introduces the concept of “thinking in AI” and explains how leaders move from using AI for isolated tasks to developing an instinctive, organization-wide mindset where AI supports daily work, decisions, and workflows. He also addresses common fears around AI replacing jobs, clarifying the difference between task-level automation, project-level assistance, and full job replacement.The episode walks through a curated set of AI tools that Chris believes are best-in-class, easy to use, and likely to stick around, helping leaders save time, reduce confusion, and build real context inside their organizations. This is a practical starting point for anyone looking to use AI at work with confidence and clarity in 2026.🔎 Learn More About Chris Daigle and Chief AI OfficerChris Daigle on LinkedInhttps://www.linkedin.com/in/chrisdaigleChief AI Officerhttps://chiefaiofficer.com🛠 AI Tools and Resources MentionedFathomhttps://chiefaiofficer.com/fathomPerplexityhttps://www.perplexity.aiComet Browser by PerplexityNotebookLMhttps://notebooklm.googleGamma https://chiefaiofficer.com/gammaNano Banana image generation inside Google GeminiChatGPT https://openai.com/chatgpt📌 Chapters00:00 Why this episode is different01:14 The problem with AI tool overload02:10 What “thinking in AI” really means03:22 From discrete AI use to an AI reflex04:28 Sharing AI wins to build culture05:35 AI governance and cultural readiness06:18 Will AI replace jobs07:15 Tasks, projects, and job-level work08:42 What AI can realistically automate today10:02 Economic impact of AI on knowledge work11:48 Why meeting transcription builds business context12:57 Using Fathom as an AI meeting assistant13:45 Replacing Google with Perplexity14:58 Agentic browsing with the Comet browser15:42 NotebookLM as a learning environment16:36 Creating executive decks with Gamma17:18 Image generation with Nano Banana18:02 Why community matters for AI adoption19:22 Final advice for leaders getting started

Send us Fan MailChris Daigle sits down with Panos Siozos, CEO and co-founder of LearnWorlds, to explore how AI at work is changing the way we learn, teach, and build real expertise.Panos explains why access to information is no longer the challenge and why critical thinking, judgment, and structured learning matter more than ever in an AI-driven world. The conversation breaks down the difference between knowledge and understanding, the risk of cognitive laziness when relying too heavily on AI, and why learning still requires friction, effort, and human guidance.They also discuss how AI should support learning rather than replace it, how credibility and authority are shifting in the age of generative AI, and what professionals and organizations must do to keep skills relevant as AI accelerates. This episode is a grounded look at using AI at work without losing the ability to think, learn, and grow.🔎 Find Out More About Panos Siozos and LearnWorldsPanos Siozos on LinkedInhttps://www.linkedin.com/in/siozos/LearnWorldshttps://www.learnworlds.com🛠 AI Tools and Resources MentionedChatGPThttps://openai.com/chatgpt📌 Chapters00:00 Introduction to Panos Siozos02:12 Panos’ background in learning and education technology05:18 Why learning is not disappearing in the AI era08:44 Knowledge vs real understanding12:06 The risk of cognitive laziness with AI16:22 Why struggle and friction matter in learning20:35 How AI changes authority and credibility25:11 Turning expertise into meaningful learning experiences29:54 Using AI to support, not replace, human learning35:18 Building premium learning products in the AI age41:02 Final advice for professionals learning with AI

Send us Fan MailChris Daigle sits down with Tim Cakir, founder of AI Operator, to talk about why most companies feel overwhelmed by AI and how leaders can move past tool overload to real productivity at work.Tim shares his experience training teams across industries and explains why AI adoption fails when organizations chase tools instead of outcomes. The conversation focuses on building human centered AI habits, reducing fear around AI, and helping teams work with AI as a collaborator rather than seeing it as a threat.They also explore how leaders can tailor AI training by role, why behavior change matters more than policies, and how voice AI and assistants are beginning to reshape how people plan, think, and execute at work. This episode is a practical guide for leaders who want progress with AI without burnout or confusion.🔎 Find Out More About Tim CakirTim Cakir on LinkedInhttps://www.linkedin.com/in/timcakir/AI Operator https://aioperator.com🛠 AI Tools and Resources MentionedChatGPT — https://chat.openai.comGoogle Gemini — https://deepmind.google/technologies/gemini/Google AI Studio — https://aistudio.google.comClaude — https://claude.aiNotebookLM — https://notebooklm.googleElevenLabs — https://elevenlabs.ioVapi — https://vapi.aiMake — https://www.make.comZapier — https://zapier.comn8n — https://n8n.ioNotion — https://www.notion.soMCP (Model Context Protocol) — https://modelcontextprotocol.ioCustom GPTs — https://chat.openai.com/gptsAI Operator — https://www.aioperator.comInternal AI assistants used inside organizations📌 Chapters00:00 Introduction to Tim Cakir02:18 Why leaders feel overwhelmed by AI05:06 Tool overload vs outcome driven adoption08:44 Human plus AI collaboration mindset13:02 Reducing fear around AI at work17:36 Training teams based on real workflows22:41 Behavior change vs policy driven adoption27:15 Using voice AI to reclaim time and focus31:48 How leaders should evaluate new AI tools36:05 Where AI Operator helps organizations start40:12 How to connect with Tim Cakir

Send us Fan MailChris Daigle sits down with Mohamed Yousuf, founder of Smart Workforce AI, to explore how AI in the workplace can dramatically improve workforce scheduling, planning, and operational efficiency across industries.Drawing on more than a decade of experience in airlines, healthcare, hospitality, and large scale operations, Mohamed explains how AI powered forecasting and scheduling can reduce overtime, prevent burnout, and help companies put the right people in the right place at the right time. The conversation covers real world AI applications like demand forecasting, seasonal planning, labor law compliance, and intelligent shift swapping, all supported by AI copilots that work alongside human decision makers.This episode is a practical look at how AI productivity tools can turn workforce management from reactive firefighting into a strategic advantage, while keeping human well being at the center of operations.🔎 Find Out More About Mohamed Yousuf and Smart Workforce AIhttps://www.linkedin.com/in/mohamed-a-yousuf/  Smart Workforce AI https://smartworkforce.io🛠 AI Tools and Resources MentionedChatGPT https://openai.com/chatgptAI powered workforce forecasting models Large language models for scheduling and planning Internal AI copilots for workforce management📌 Chapters00:00 Introduction to Mohamed Yousuf01:10 From Airline Scheduling to Workforce AI03:55 Why Workforce Planning Is a Universal Business Problem05:21 Using AI to Complement Human Decision Making06:54 Healthcare staffing and burnout challenges09:16 Forecasting demand using demographic and immigration data11:23 Hospitality, events, and seasonal workforce planning12:48 Avoiding panic hiring and panic firing14:32 Measuring labor cost savings and productivity gains17:53 Making AI powered scheduling accessible to smaller teams21:17 Onboarding and system learning timelines22:56 Handling labor laws and contract complexity with AI25:19 AI assistants for managers and employees27:15 Giving employees more control over schedules29:52 Minimum team size to benefit from AI scheduling33:16 The future of micro shifts and flexible work35:29 Pricing and ROI for small and mid sized businesses39:34 How to get started with Smart Workforce AI

Send us Fan MailChris Daigle sits down with Patrick Leung to explore how AI is being applied inside modern marketing and revenue teams to drive efficiency, consistency, and scale. Patrick shares real examples of how teams are using AI in the workplace to support go to market execution, internal knowledge sharing, and decision making without overwhelming non technical leaders.The conversation covers practical AI adoption for business leaders, how to avoid overcomplicating workflows, and where AI productivity tools deliver the most value today. Patrick also breaks down how organizations can move from experimentation to repeatable AI powered processes that actually support growth. This episode is a grounded look at workplace AI adoption for teams focused on execution, not hype. 🔎 Find Out More About Patrick Leung https://www.linkedin.com/in/puiwah/🛠 AI Tools and Resources MentionedChatGPT ➡ https://openai.com/chatgpt Internal AI assistants used by marketing and revenue teams📌 Chapters00:00 - Introduction to Patrick Leung04:12 - Where AI Fits Inside Marketing and Revenue Teams10:36 - Practical AI Use Cases for Execution17:48 - Supporting Non Technical Teams with AI24:15 - Avoiding Tool Overload and Overengineering31:02 - Using AI to Improve Consistency and Speed38:20 - Moving from Experiments to Scaled Workflows45:10 - Final Advice for Leaders Adopting AI48:55 - How to Connect with Patrick Leung

Send us Fan MailChris Daigle sits down with Zak Ali, General Manager at Finder, to unpack how search is evolving as people move from traditional search engines to large language models like ChatGPT, Claude, and Gemini.Zak explains why SEO is not dead, how LLMs decide which brands to surface, and why trust signals like authority, recency, and editorial rigor matter more than ever. He shares how Finder adapted its content strategy to show up consistently inside AI answers, what types of long tail queries perform best in LLM search, and how AI powered browsers are changing the future of discovery.They also explore how Finder is approaching AI upskilling internally, why hands on experimentation beats mandates, and how non technical teams are using tools like Claude Code and MCPs to dramatically increase productivity. This episode is a must listen for leaders who want to understand where search is headed and how AI is reshaping how customers find solutions.🔎 Find Out More About Zak AliLinkedInhttps://www.linkedin.com/in/zak-ali44/ Substack https://thoughtson.substack.comFinder https://www.finder.com🛠 AI Tools and Resources MentionedChatGPT https://openai.com/chatgptClaude https://claude.aiPerplexity https://www.perplexity.aiNotebook LM https://notebooklm.google📌 Chapters00:00 Introduction to Zak Ali and Finder 02:10 SEO vs LLM search and why fundamentals still matter 04:55 How LLMs choose which sources to cite 07:40 Bing, Google, and triangulating AI search results 10:30 Inspecting ChatGPT queries to understand discovery 13:05 Recency, trust, and authority signals for LLMs 15:45 AI generated content and human quality standards 18:35 Long tail queries and why they win in AI search 21:40 Measuring traffic and revenue from LLM discovery 24:10 AI browsers and the future of click data 27:30 Internal AI upskilling without mandates 30:20 Claude Code, MCPs, and terminal based workflows 34:10 Non technical teams building real tools with AI 37:40 Executive blind spots and the knowledge gap 41:05 Getting started with practical AI habits 44:00 Where to follow Zak Ali and keep learning

Send us Fan MailChris Daigle sits down with Geoff Gibbins, strategy and AI transformation expert and author of "Critical Intelligence," to explore how companies can redesign their workflows and help their teams develop stronger thinking skills in the age of AI. Geoff shares what he has learned from working with major enterprises on AI transformation, including why so many AI pilots fail, how to avoid automating broken processes, and how to create human AI systems that actually deliver value.They discuss why top companies are shifting from using AI for simple automation to re-engineering entire workflows, how agents fit into modern processes, and why understanding human and AI collaboration is now a competitive advantage. Geoff also explains how individuals can future-proof their careers by focusing on long half-life skills and learning to use AI as a true collaborator rather than a tool.This episode gives leaders a practical lens on AI transformation, human capability development, and how to prepare teams for a hybrid future of people and intelligent agents working together.🔗 Resources MentionedGeoff’s Book: Critical Intelligence: Strengthening Human Thinking in the Age of AI https://www.amazon.com/Critical-Intelligence-Strengthening-human-thinking-ebook/dp/B0FKZZCMTZ# Geoff Gibbins on LinkedIn:https://www.linkedin.com/in/geoffgibbins/ChiefAIOfficer Resources: https://chiefaiofficer.com📌 Chapters00:00 Introduction01:10 Geoff’s background in strategy, innovation, and AI transformation04:20 Why most AI pilots fail06:00 Automating broken workflows vs reinventing them07:40 Marketing to agents vs marketing to humans09:20 Reinventing work with agents and human AI workflows12:30 How to integrate humans into agent-driven systems14:10 Working with process owners inside companies17:00 Are people afraid AI will take their job20:00 Individual overwhelm and the pace of change22:30 The skill variation inside large companies24:00 How enterprise understanding has changed in the past year25:30 How companies differentiate when everyone has the same tools26:30 Designing human AI collaboration inside orgs27:40 Shifting from "AI as a tool" to "AI as a collaborator"29:00 How individuals future-proof their skills31:00 Why prompt engineering is already outdated32:20 Talking to AI like a collaborator33:30 How careers may shift as roles evolve37:20 Advice for non-technical business professionals38:40 About the book39:30 Closing Thoughts

Send us Fan MailChris Daigle sits down with Michael Stelzner, founder of Social Media Examiner and host of the Social Media Marketing Podcast, to explore how AI is transforming content creation, audience building, and the future of media businesses. Michael shares how he and his team use AI to brainstorm, repurpose, and accelerate production—without losing the human connection that drives trust and creativity.They discuss the balance between automation and authenticity, how AI fits into editorial workflows, and why leaders must stay curious instead of fearful when adopting new technologies. Michael also breaks down the evolving landscape of social media and SEO in the age of AI, explaining how creators and companies can stay relevant as algorithms and consumer behaviors shift.This episode offers practical insights for marketers, executives, and entrepreneurs looking to integrate AI into their creative process while keeping the focus on human storytelling.🔎 About Michael StelznerMichael Stelzner is the founder of Social Media Examiner and Social Media Marketing World, the industry’s largest social media marketing conference. He is also the founder of the AI Business Society and the AI Business World conference. Michael hosts the Social Media Marketing Podcast and the AI Explored Podcast, and is the author of two widely acclaimed books: Launch and Writing White Papers.🎁 Exclusive Offer for Our ListenersMichael has created a special discount for the Using AI at Work audience: Get $100 off tickets to AI Business World or Social Media Marketing World All Access tickets.Redeem here → http://www.socialmediaexaminer.com/AIatWork Offer valid through December 31st, 2025.🔗 Find Out More About Michael StelznerLinkedInhttps://www.linkedin.com/in/stelzner/ Social Media Examiner https://www.socialmediaexaminer.comSocial Media Marketing Podcast https://www.socialmediaexaminer.com/shows/🛠 AI Tools and Resources MentionedChatGPT https://openai.com/chatgptNotion AI https://www.notion.so/product/aiDescript https://www.descript.comChief AI Officer Resources https://chiefaiofficer.com📌 Chapters00:00 – Introduction to Michael Stelzner 04:12 – How AI Is Changing Content Creation 08:48 – Using AI for Brainstorming and Research 13:35 – The Role of Human Judgment in Content Strategy 19:20 – Balancing Efficiency and Authenticity 24:50 – Repurposing Content with AI Tools 31:10 – SEO, Social Algorithms, and AI Search Evolution 37:05 – The Future of Media in the AI Era 42:30 – Advice for Leaders Embracing AI 46:55 – How to Connect with Michael Stelzner

Send us Fan MailChris Daigle sits down with Etan Polinger, founder of Raize Digital, to discuss how AI is transforming marketing, customer journeys, and brand strategy. Etan shares how he helps companies implement AI tools that simplify operations, enhance personalization, and generate consistent creative output without replacing human insight.They explore how to design AI systems that support marketing teams instead of overwhelming them, how to measure ROI from AI experiments, and how small businesses can leverage generative AI to compete with larger brands. Etan also explains how AI content generation, predictive analytics, and workflow automation create scalable, customer-focused growth while staying true to brand voice.This episode is packed with actionable ideas for leaders looking to build stronger customer relationships through intelligent, human-centered automation.🔎 Find Out More About Etan PolingerLinkedInhttps://www.linkedin.com/in/etan-polinger/🛠 AI Tools and Resources MentionedChatGPT https://openai.com/chatgptJasper AI https://www.jasper.aiSurfer SEO https://surferseo.comChief AI Officer Resources https://chiefaiofficer.com📌 Chapters00:00 – Introduction to Etan Polinger03:15 – How AI is Changing Marketing Strategy07:42 – Designing AI Systems that Support Teams12:30 – AI Content and Brand Consistency17:08 – Balancing Automation with Human Creativity21:55 – Building AI Workflows for Customer Experience26:14 – Measuring ROI from AI Experiments31:27 – AI Tools for Marketers and Small Businesses37:10 – Future of Marketing and AI Leadership41:45 – How to Connect with Etan Polinger

Send us Fan MailChris Daigle sits down with Peter Cappelli, Professor of Management at the Wharton School, to explore how AI is changing how companies hire, train, and manage people. Peter breaks down the myths around job displacement, explains why most organizations misunderstand what AI can and cannot automate, and shares how leaders can adapt workforce strategies for the AI era.They discuss the balance between efficiency and humanity in AI adoption, why prediction and decision-making should stay in human hands, and what executives need to know about reskilling and internal mobility as automation grows. Drawing from research and decades of experience, Peter provides an unfiltered look at what the future of work will truly require from both employees and employers.🔎 Find Out More About Peter CappelliLinkedInhttps://www.linkedin.com/in/peter-cappelli-14936a3/Book by Peter Cappellihttps://www.pennpress.org/9781613631911/the-future-of-the-office-with-a-new-afterword-by-the-author/🛠 AI Tools and Resources MentionedChatGPThttps://openai.com/chatgptChief AI Officer Resourceshttps://chiefaiofficer.com📌 Chapters00:00 – Introduction to Peter Cappelli02:35 – How AI is Reshaping Hiring and Training07:45 – Separating AI Hype from Workplace Reality12:20 – Why Prediction Still Needs Human Judgment17:15 – Redefining Workforce Planning in the AI Age23:42 – What Executives Get Wrong About Automation29:30 – Reskilling and Internal Mobility for the Future of Work35:05 – AI Governance and Trust Inside Organizations40:18 – Balancing Efficiency with Human Value44:12 – Advice for Leaders Adopting AI Responsibly48:20 – How to Connect with Peter Cappelli

Send us Fan MailChris Daigle sits down with Chris Duffy, AI strategist and fractional Chief AI Officer, to talk about how companies can adopt AI in a way that is responsible, practical, and centered on people. Chris explains why most organizations do not need more tools. They need clarity, governance, and leadership alignment.They discuss how to identify true bottlenecks in a business, how to design AI policies that actually get used, and why focusing on real workflow problems drives far more value than chasing shiny technology. Chris also shares how fractional AI leadership works in companies that are not ready to hire a full time CAIO and why the most successful AI programs start with listening before building.This episode gives leaders a blueprint for implementing AI with intention, trust, and measurable impact.🔎 Find Out More About Chris DuffyWebsitehttps://www.chrisduffy.aiLinkedInhttps://www.linkedin.com/in/chrisfduffy/🛠 AI Tools and Resources MentionedChatGPThttps://openai.com/chatgptPerplexity https://www.perplexity.aiChief AI Officer Resources https://chiefaiofficer.com📌 Chapters00:00 – Introduction to Chris Duffy02:10 – Why AI Transformation Starts With People05:20 – Finding Real Bottlenecks vs Tool Chasing09:44 – How to Build AI Policies That Work14:35 – Shadow AI and Trust in the Workplace18:50 – Leadership Alignment and AI Priorities23:12 – The Role of a Fractional Chief AI Officer27:40 – Listening Before Building: Discovery First31:25 – Turning Problems Into Measurable ROI36:58 – Helping Teams Use AI Safely and Effectively41:10 – Where to Start With Responsible AI Adoption45:55 – How to Connect with Chris Duffy

Send us Fan MailChris Daigle sits down with Allen Martinez, founder of Noble Digital and Chief Growth Officer at Noble Vision, to talk about how AI is reshaping creative strategy, storytelling, and business growth. Drawing on his experience with global brands and data-driven campaigns, Allen explains how teams can use AI to enhance creativity, speed up decision-making, and find stronger brand-to-audience alignment.They dive into how AI tools can turn raw data into powerful creative insight, how to balance human intuition with machine intelligence, and why the next generation of business storytelling will depend on those who learn to collaborate with AI rather than compete with it.This episode offers a roadmap for leaders and marketers who want to use AI not just to automate, but to think more creatively, act more strategically, and scale their impact.🔎 Find Out More About Allen Martinez and Noble DigitalAllen Martinez - https://linktr.ee/allenmartinezNoble Digital Website https://nobledigital.com🛠 AI Tools and Resources MentionedChatGPT ➡ https://openai.com/chatgpt Claude ➡ https://claude.ai ChiefAIOfficer Resources ➡ https://chiefaiofficer.com📌 Chapters00:00 – Intro to Allen Martinez03:12 – How AI is Transforming Creative Strategy08:24 – Human Intuition vs Machine Intelligence14:17 – Data-Driven Storytelling with AI19:45 – The Creative Process in an AI World25:03 – Building AI-Powered Marketing Frameworks31:42 – Balancing Speed and Quality in Content Creation38:18 – Scaling Brand Impact with Automation and Insight44:29 – How to Get Started Integrating AI into Creative Workflows50:12 – Connect with Allen Martinez and Learn More

Send us Fan MailIn this episode, Chris Daigle is joined by Kristin Ginn, founder of trnsfrmAItn, to discuss the real reason most companies fail with AI adoption. Spoiler: it is not the technology. It is the humans.Kristin breaks down why AI productivity gains at the individual level rarely translate into measurable organizational outcomes and how to close that gap by activating employees through mindset shifts, habit building and better enablement strategies. You will learn how leaders can make AI visible from the top down and how champions can drive change from the bottom up so the entire organization benefits.This conversation is a practical guide for business leaders who want AI to increase productivity, energy and competitive capability without leaving humans behind.🔎 Connect with Kristin Ginnhttps://www.trnsfrmaitn.com/Follow Kristin Ginn on LinkedInhttps://www.linkedin.com/in/ginnkristin/🛠 AI Tools and Resources MentionedChatGPThttps://openai.com/chatgptMicrosoft Copilothttps://www.microsoft.com/en-us/microsoft-copilotClaude https://claude.aiInternal AI Assistants(Company specific and not publicly linked)📌 Chapters00:00 Intro to Kristin Ginn 02:21 Why AI adoption fails at the organizational level 06:13 Human change vs technology rollout 11:10 Employee fears and “AI is cheating” mindset 15:44 Creating intentional AI habits 21:09 AI champions and sharing wins 26:28 Making AI visible through leadership 31:47 Four AI mindsets for everyday work 37:55 Changing culture with practical success stories 43:28 Where to start with enterprise AI transformation 49:02 How to connect with Kristin and get her AI e-book

Send us Fan MailChris Daigle sits down with Zac Engler, Chief AI Officer and author of Turning On Machines, to discuss how organizations can adopt AI responsibly and practically while preparing their teams for a transformed future of work.Zac shares his framework for helping companies move through the Crawl → Walk → Run stages of AI adoption, from getting every employee comfortable with large language models and prompting frameworks, to deploying agentic workflows that drive exponential productivity gains.They discuss how leaders can address fear, risk, and confusion around AI tools, how to decide between infrastructure vs. operations strategy, and why delaying adoption means falling exponentially behind. Zac also gives a preview of his new book, Turning On Machines, exploring the three meanings behind the title: activation, rebellion, and connection, and how each reveals the complex relationship between humans and intelligent systems.If you’re leading AI transformation or rethinking how humans and machines will work together, this episode delivers both frameworks and foresight.🛠 AI Tools and Resources Mentioned in This EpisodeChatGPT ➡ https://openai.com/chatgptPerplexity ➡ https://www.perplexity.aiNotebook LM ➡ https://workspace.google.comChief AI Officer Resources ➡ https://chiefaiofficer.com📌 Chapters00:00 – Introduction to Zac Engler and Turning On Machines 02:30 – The Chief AI Officer Role and the People Side of AI 04:10 – The Crawl–Walk–Run Framework for AI Adoption 06:00 – Three Levers for 10% Instant Productivity Gains 09:00 – Infrastructure vs. Operations: Two Types of AI Strategy 12:00 – From Walk to Run: Deploying Agentic Workflows 14:00 – Why Waiting on AI Means Falling Behind 16:30 – Managing Risk and Choosing the Right Tools 19:00 – Favorite AI Tools: Copilot, Perplexity, Notebook LM 21:30 – Inside Turning On Machines: Three Meanings and Lessons 26:00 – Parallels Between the Printing Press and AI 30:00 – Pushback, Fear, and the Trifurcation of Work 33:00 – Becoming a “Machine Shepherd” and Future-Proofing Your Role 39:00 – Human-Only, Human + AI, and AI-Only Workflows 43:30 – Frameworks for Mapping Where AI Fits in Your Business 46:00 – Why Reflection Matters: Learning How to Think About AI 49:00 – Where to Get Turning On Machines and Connect with Zac

Send us Fan MailChris Daigle sits down with Maria Elena Duron, fractional Chief AI Officer and marketing strategist, to explore how small and mid-sized businesses can successfully adopt AI without overwhelming their teams. Maria shares her experience helping businesses bridge the gap between awareness and real application — from her years training entrepreneurs on Google tools to guiding leaders through AI adoption today.You’ll hear how she helps companies build AI councils, manage shadow AI risks, and develop AI use policies that protect both data and teams. Maria explains why change management is central to AI success, how to identify the “low-hanging fruit” for measurable results, and why executives must align goals with realistic timelines. With practical insights on governance, productivity vs. efficiency, and building custom role copilots with tools like Notebook LM and GPTs, this episode is a roadmap for leaders navigating AI adoption.🔎 Find Out More About Maria Elena DuronInstagram: Marketing Coach Maria ➡ https://www.instagram.com/marketingcoachmariaWebsite: SmartBrandSystem.com ➡ https://smartbrandsystem.com🛠 AI Tools and Resources Mentioned in This EpisodeChatGPT ➡ https://openai.com/chatgptNotebook LM ➡ https://notebooklm.google📌 Chapters 00:00 – Introduction to Maria Elena Duron 03:00 – Lessons from Early Tech Shifts: Internet, Social Media, and AI 05:56 – Helping Small Businesses Understand Google and Visibility 08:31 – AI Adoption Parallels: Google Search vs. Generative AI 11:04 – Starting with Leadership: Goals, Fears, and Change Management 12:31 – Overcoming Team Fear and Shiny Object Syndrome 13:59 – Positioning AI as Investment in People 14:57 – Interviewing Teams and Vendors to Build Roadmap Reports 21:00 – Who Owns AI in a Company? Building AI Councils 24:07 – Establishing AI Use and Tool Policies for Security 26:28 – Setting Priorities and Roadmaps with Leadership 31:03 – Where to Start: Pilots and Low-Hanging Fruit 32:19 – Building Role Copilots with Custom GPTs and Notebook LM 34:53 – Using Notebook LM for Knowledge Retrieval and Productivity 40:19 – Defining Success: Efficiency vs. Productivity vs. Effectiveness 42:09 – Managing Expectations and Avoiding Unrealistic Timelines 44:22 – Webinar Wednesdays and Community Training Episode tags:AI in small business, AI in the workplace, AI adoption strategies, Change management and AI, Workplace AI governance, Non-technical AI leadership, AI use policies, AI productivity tools, Real-world AI applications, Executive AI training, AI transformation stories, AI councils in business

Send us Fan MailChris Daigle sits down with Jim Curry, co-founder and investor at BuildGroup, to explore how AI is reshaping business strategy and organizational design.Jim breaks down why SaaS companies have unique advantages in the AI era, and how AI adoption mirrors past infrastructure shifts like the rise of cloud and open source. He explains why most businesses shouldn’t chase AI-native hype, but instead focus on workflow transformation that drives measurable results.This episode dives into:    • How to view AI adoption through the lens of past technology waves    • Why SaaS businesses are best positioned to integrate AI    • The organizational shifts AI will create, from agents to evolving job roles    • Balancing efficiency gains with true competitive differentiation    • How leaders should approach AI adoption without falling into the “shiny object” trapKey Insight: AI is less about replacing businesses and more about re-architecting how they operate — and the winners will be those who align people, process, and technology together.🔎 Find Out More About Jim CurryBuildGroup ➡ https://www.buildgroup.comLinkedIn ➡ https://www.linkedin.com/in/jimncurry/🛠 AI Tools and Resources Mentioned in This EpisodeChatGPT ➡ https://openai.com/chatgpt📌 Chapters 00:00 – Introduction to Jim Curry 04:13 – AI as the next infrastructure wave 09:00 – Why SaaS companies are best positioned for AI adoption 13:01 – Efficiency vs differentiation in AI strategy 18:13 – Organizational shifts: agents, workflows, and new roles 23:07 – Avoiding the shiny-object trap with AI tools 36:16 – Lessons from cloud and open source adoption 42:59 – Building AI-driven organizations with sustainability 44:42 – How to connect with Jim Curry Episode tags:AI in the workplace, AI for business leaders, Generative AI at work, Real-world AI applications, Workplace AI adoption, Executive AI training, AI productivity tools, AI transformation stories, Ethical AI business, AI strategy for executives, SaaS and AI adoption, AI in organizational change

Send us Fan MailChris Daigle sits down with Bruce Clay, widely regarded as the Father of SEO, to discuss how artificial intelligence is reshaping search, rankings, and content strategy.With more than 30 years pioneering SEO, Bruce shares why AI isn’t replacing SEO but instead changing how businesses must approach visibility. He explains how Google’s AI Overviews still rely on strong SEO signals, why AI-generated writing leaves footprints, and what companies should do to balance speed with authenticity.🔎 Find Out More About Bruce Clayhttps://bruceclay.comPrewriter.ai - https://www.prewriter.aihttp://seotraining.com🛠 AI Tools and Resources Mentioned in This EpisodeChatGPT ➡ https://openai.com/chatgptPrewriter.ai ➡ https://prewriter.ai📌 Chapters00:00 - Introduction to Bruce Clay05:15 - SEO in the age of AI12:48 - Why Google AI Overviews still rely on SEO signals19:37 - Detecting AI-generated content footprints26:10 - Why unedited AI content risks lower rankings33:42 - Using AI as a research assistant, not a writer41:18 - Prewriter.ai and optimizing AI content48:05 - Google vs Perplexity and the future of search55:20 - How to connect with Bruce ClayEpisode tags:AI in the workplace, AI for business leaders, Generative AI at work, Real-world AI applications, AI in operations management, AI strategy for executives, AI in marketing attribution, AI productivity tools, AI for process improvement, AI transformation stories, Ethical AI business, AI case studies, SEO in the AI era, AI and content strategy

Send us Fan MailChris Daigle sits down with Jeff Greenfield, CEO of Provalytics, to uncover how AI-driven attribution is transforming marketing measurement in the age of privacy.Jeff shares his journey from building one of the first multi-touch attribution companies to creating Provalytics, a platform built to solve one of marketing’s oldest challenges: “Half of my ad spend is wasted — I just don’t know which half.”This conversation covers:    • Why clicks mislead, and why impressions still matter    • How AI models real ad impact across multiple channels    • Why Google Analytics and “last-click” thinking are broken    • The balance between consistency and correctness in corporate marketing    • New opportunities in connected TV, influencer marketing, and digital out-of-home    • How small teams can use AI tools like ChatGPT + spreadsheets for attribution insightsKey Insight: Most companies waste 80–90% of their ad spend. With AI attribution, marketers can reclaim budget, reduce stress, and unlock smarter strategies.🔎 Find Out More About Jeff Greenfield and ProvalyticsJeff Greenfield on LinkedIn - https://www.linkedin.com/in/jeffgreenfield/Provalytics - https://provalytics.com/🛠 AI Tools and Resources Mentioned in This EpisodeChatGPT - https://openai.com/chatgpt📌 Chapters 00:00 – Introduction to Jeff Greenfield 02:43 – The century-old attribution problem 06:02 – From C3 Metrics to Provalytics 11:02 – Why last-click attribution is broken 28:05 – Consistency vs correctness in corporate marketing 31:11 – How AI models ad spend impact 36:05 – Channels beyond clicks: CTV, influencers, OOH 42:41 – Practical attribution tips for small teams 46:14 – The future of privacy-first measurement 48:58 – How to connect with Jeff Greenfield Episode tags:AI in the workplace, AI for business leaders, Generative AI at work, AI operational strategy, AI in marketing attribution, AI productivity tools, Real-world AI applications, AI for process improvement, Executive AI training, AI transformation stories, Ethical AI business, AI case studies, AI in operations management, AI strategy for executives

Send us Fan MailChris Daigle sits down with Peter Swimm, founder of Toilville, to explore how conversational AI and local models are transforming the way we work. With over 25 years in tech, including time at Microsoft designing Copilot products, Peter shares how he built an AI-first workflow that replaced dozens of SaaS tools with personalized, voice-driven automation.He talks about his week-long experiment of running his business entirely through conversational AI, what it taught him about productivity, and why the future of apps may be modular, API-driven, and built on personal ownership of data. From helping small businesses adopt AI responsibly to envisioning a post-SaaS world where you own your own tooling, Peter explains how leaders can think in AI and find competitive advantages without falling into the tech hype.This conversation is packed with insights for founders, executives, and teams curious about what practical, day-to-day AI adoption looks like when built with sustainability, ethics, and real business needs in mind.🔎 Find Out More About Peter Swimm and ToilvillePeter Swimm on LinkedIn - https://www.linkedin.com/in/peterswimm Toilville - https://www.itstoilville.com/ 🛠 AI Tools and Resources Mentioned in This EpisodeClaude by Anthropic - https://claude.ai/ ChatGPT - https://openai.com/chatgpt Notion - https://www.notion.com/ 📌 Chapters00:00 - Introduction to Peter Swimm02:05 - From Microsoft to Building Toilville03:42 - What Conversational AI Really Means09:11 - Why Apps as We Know Them Are Dying12:23 - Running a Business with Voice-Only AI14:45 - Regaining Control of Notifications and Workflow17:13 - Building Custom Tools with Claude23:04 - The Case for Open Sharing and Local Models26:09 - Reimagining Workflows Beyond SaaS34:12 - Running Lean Teams with AI36:21 - Rethinking Work Paradigms and Productivity42:21 - The Future of Apps and Personal Data Control44:27 - How to Connect with Peter SwimmEpisode tags:AI in the workplace, Conversational AI, Voice AI productivity, Small business AI adoption, Local AI models, Replacing SaaS with AI, Real-world AI applications, Building with Claude, Executive AI strategy, Future of apps, AI for small teams, AI workflow automation

Send us Fan MailChris Daigle sits down with Steff Vanhaverbeke, author of Being Replaced: The Five Human Skills AI Cannot Automate, to explore how professionals and businesses can thrive in an AI-powered world. Steff introduces her Cognitive Agility Framework, highlighting the uniquely human skills, like critical thinking, creativity, emotional intelligence, collaboration, intuition, and innovation, that set us apart from machines.You’ll hear how to avoid the “AI slop” trap by doubling down on authenticity, how to use AI tools without losing human value, and why the businesses that remain most human will stand out in the future. Steff also shares insights from her workshops and training with executives, revealing the levels of AI adoption she sees across organizations today.This episode is a must-listen for business leaders, teams, and professionals who want to use AI at work without losing what makes them irreplaceable.🔎 Find Out More About Steff VanhaverbekeThe House of CoachingBeing Replaced on Amazon🛠 AI Tools and Resources Mentioned in This EpisodeChatGPTChiefAIOfficer Resources📌 Chapters00:00 - Introduction01:43 - Meet Steff Vanhaverbeke03:10 - Inside the Book: 'Being Replaced'05:00 - The Five Human Skills AI Can’t Replace08:00 - Emotional Intelligence and the Limits of AI Empathy13:40 - Collaborative Intelligence and the Tomorrowland Example20:22 - Intuition and Human Decision-Making in Business23:00 - Innovation as a Differentiator in an AI World26:00 - Making These Skills Actionable at Work30:00 - How Human-Centric Companies Will Stand Out38:00 - The Super Worker Model44:15 - Misconceptions, Resistance, and What’s Next for AI Adoption Episode tags:AI at work, Human skills vs AI, AI in business, Executive AI adoption, Generative AI in the workplace, Cognitive Agility Framework, Authenticity with AI, Emotional intelligence in AI era, Innovation and intuition with AI, Collaborative intelligence, AI slop problem, Business leadership in AI

Send us Fan MailChris Daigle sits down with Jay Feldman, known as LeadGenJay, to explore how AI and automation are reshaping lead generation, sales, and marketing. From his journey from medicine to running multi-million-dollar agencies, Jay reveals how AI-powered cold email, omnichannel outreach, and automated personalization can create scalable client-getting systems that outperform traditional sales teams.You’ll learn how AI-driven outreach tools work behind the scenes, why omnipresent marketing is critical in today’s environment, and how to balance human skills with automation. Jay also shares how companies can build an “AI Sales Director” to supercharge sales team performance, plus strategies for staying ahead in a rapidly changing landscape.Whether you’re an executive, entrepreneur, or marketing leader, this episode shows you how to practically apply AI at work to win more clients and future-proof your business.🔎 Guest & ResourcesAbout Jay Feldman (LeadGenJay):Website: https://leadgenjay.comYouTube: https://www.youtube.com/@leadgenjayInstagram: https://instagram.com/leadgenAI Tools & Platforms Mentioned:N8nMake.comZapierClayHandwryttenGPT, Claude, and other LLMs🎁 Special Offer from Jay Feldman (LeadGenJay)Jay has created a custom resource page for Chief AI Officer listeners that includes exclusive tools, templates, and strategies for implementing AI-powered lead generation. You can access this at:👉 https://www.leadgenjay.com/caio This page gives listeners a head start on:Proven cold email scripts and templates optimized with AIOmnichannel automation frameworks for scaling outreachAccess to Jay’s favorite AI tool stack (Clay, N8n, Zapier, Handwrytten, GPT/Claude, and more)Step-by-step implementation guides designed to help teams set up an “AI Sales Director” inside their companyJay frames this as a way to shortcut months of trial and error and move directly into measurable results with AI in sales and marketing.📌 Chapters 00:00 - Show Intro and AI Executive Roadshow 01:43 - Meet Jay Feldman aka Lead Gen Jay 03:09 - From Medical School to Marketing Mastery 05:06 - What Makes Cold Email Effective (Not Spam) 07:25 - Automating Omnichannel Lead Generation 10:15 - Personalization with AI at Scale 13:58 - Cold Email vs Traditional Sales Teams 18:11 - Must-Have Tools for AI-Powered Marketing 21:45 - Building an AI Sales Director Agent 28:03 - Managing Team Reactions to AI Adoption 31:45 - Why Businesses Must Act Now on AI 37:00 - How to Stay Updated in a Fast-Moving AI World 44:08 - Getting Started with Lead Gen Jay’s Framework Episode tags:AI lead generation, AI cold email, Omnichannel AI marketing, AI personalization tools, Automating sales outreach, AI sales director, Business automation with AI, LeadGenJay interview, Scaling client acquisition with AI, AI in marketing strategies, AI communities for entrepreneurs, AI tools for B2B growth

Send us Fan MailChris Daigle sits down with Oren Michaels, founder of Barndoor.ai, to explore the rise of AI agents in the workplace and why governance and security matter just as much as innovation. From defining what makes an AI agent different from ChatGPT, to tackling the risks of the new Model Context Protocol (MCP), Oren explains how executives can unlock real productivity gains while avoiding costly mistakes.You will hear how to treat agents like eager interns with guardrails, where companies are already seeing ROI in finance, marketing, and contracts, and why shadow AI and unsanctioned MCP use could be your biggest risks. Packed with real-world AI applications and executive-level strategy, this episode is a playbook for business leaders ready to adopt agents responsibly.🔎 ResourcesLearn more about Oren Michaels: Barndoor.aiContact Oren directly: [email protected]🛠️ Tools & Frameworks MentionedChatGPT ➡ https://openai.com/chatgpt Model Context Protocol (MCP) for agent-to-system integration📌 Chapters00:00 – Intro to Oren Michaels and Barn Door AI02:20 – From APIs to AI agents: lessons from enterprise adoption06:46 – Defining an AI agent vs. ChatGPT and automation13:25 – Why agents lack conscience and what that means for business18:10 – Governance frameworks for AI agents22:58 – Risks and opportunities of the Model Context Protocol (MCP)27:19 – Who inside companies is owning AI governance33:25 – Enterprise scale vs. mid-market AI adoption38:36 – Real-world wins in finance, marketing, and contracts42:53 – The difference between automation, RPA, and agents46:28 – Shadow AI, unsanctioned MCP, and risk management50:56 – Where to learn more about Barn Door AIEpisode tags:AI in the workplace, AI for business leaders, Generative AI at work, Non-technical AI leadership, Real-world AI applications, Workplace AI adoption, Executive AI training, AI productivity tools, AI transformation stories, Ethical AI business, AI implementation guide, AI strategy for executives

Send us Fan MailChris Daigle sits down with David Martelli, founder of Guildhall Studios, to reveal how executives, business leaders, and educators can harness AI in the workplace and generative AI at work. From non-technical AI leadership to real-world AI applications, David shares strategies for creating AI-powered learning environments that prepare both students and executives for the future of work.You’ll hear how to use AI productivity tools without falling into the shiny-object trap, how to balance automation with human-to-human skills, and why frameworks like the MAP Cycle are key to moving from pilots to measurable AI adoption. This episode is a practical guide for leaders ready to turn AI transformation stories into real competitive advantage.🔎 Find Out More About David Martelli and Guild Hall Learninghttps://www.linkedin.com/in/david-martelli-236971ahttps://www.guildhalllearning.com/🛠 AI Tools and Resources Mentioned in This Episode: ChatGPT ➡ https://openai.com/chatgpt ChiefAIOfficer Resources ➡ https://chiefaiofficer.com📌 Chapters:00:00 - Introduction to David Martelli  02:00 - From Learning Design to AI Leadership  04:37 - Building Personalized AI Tools for Students and Workplaces  12:59 - Non-Technical Leadership in AI Adoption  19:34 - Avoiding AI Hype and the Shiny Object Syndrome  24:53 - Using the MAP Framework for 90-Day AI Wins  30:59 - Balancing AI Productivity Tools with Human Skills  38:46 - Real-World AI Applications Across Industries  49:56 - Preparing for AI’s Impact on Education and Work  54:12 - How to Connect with David Martelli  Episode tags:AI in the workplace, AI for business leaders, Generative AI at work, Non-technical AI leadership, Real-world AI applications, Workplace AI adoption, Executive AI training, AI productivity tools, AI transformation stories, Ethical AI business, AI implementation guide, AI strategy for executives

Send us Fan MailChris Daigle sits down with Diane Hammons, Director of Digital Engagement at WG Content, to explore how small teams can harness AI without getting lost in the noise. Diane shares the story behind WG Content’s “AI Pathfinders” group, a volunteer-based council that tackles adoption, governance, and practical business cases for generative AI—starting from small wins like summarization and brand knowledge bases, to developing custom GPTs that support writers and clients alike. She covers overcoming skepticism, setting security policies, avoiding the “shiny object” trap, and preparing for the shift from SEO to generative engine optimization (GEO). Packed with actionable ideas, this episode is a playbook for companies ready to move past pilot mode and into measurable AI impact.  🔎 Find Out More About Diane Hammons and WG Content: https://www.linkedin.com/in/dianehammons https://wgcontent.com/about/meet-the-team/diane-hammons/ 🛠 AI Tools and Resources Mentioned in This Episode: ChatGPT ➡ https://openai.com/chatgpt  Chapters: 00:00 - Introduction to Diane Hammons 04:16 - Forming the AI Pathfinders Team 12:31 - Overcoming Team Resistance and Fears 18:21 - Building Security and Client Policies 21:12 - Shadow AI and Responsible Use 25:14 - Gradual AI Adoption Across the Company 29:36 - Handling Data Privacy and Risk 33:22 - Maintaining Client Trust with AI Tools 38:39 - Building Custom GPTs for Brand and Content 45:12 - The Rise of AI Search and GEO 53:00 - How to Connect with Diane Hammons

Send us Fan MailChris Daigle dives into an insightful conversation with Debra Andrews, President of Marketri, a strategic B2B marketing consultancy. Debra shares how her team has adopted AI over the past two years—starting with content creation and evolving into analytics, client communications, and even generative engine optimization (AIO). Learn how Marketri builds trust with clients by transparently integrating AI into strategy while maintaining originality and credibility. Debra offers practical steps for teams starting their AI journey, including tools, workflows, and how to balance experimentation with client expectations. A must-listen for marketers, consultants, and any business leader trying to operationalize AI.🔎 Find Out More About Debra Andrews and Marketri:https://www.marketri.comhttps://www.linkedin.com/in/marketridebbieandrews/🛠 AI Tools and Resources Mentioned in This Episode:ChatGPT ➡ https://openai.com/chatgptGemini ➡ https://gemini.google.comClaude ➡ https://claude.aiPerplexity ➡ https://www.perplexity.aiScrunch AI ➡ https://www.scrunchai.comRevere AI ➡ https://www.revere.aiDatabox ➡ https://databox.comSEM Rush ➡ https://www.semrush.comClick Data ➡ https://www.clickdata.comMarketing AI Institute ➡ https://www.marketingaiinstitute.comIdeogram ➡ https://ideogram.aiChapters:00:00 - Introduction to Debra Andrews and Marketri02:00 - How Clients React to AI in Marketing04:15 - Starting the AI Journey: Education and Use Cases07:10 - Early Wins with Content Generation Tools10:45 - Lessons Learned: How to Do Content Right13:55 - What Didn’t Work: Images, Analytics, and More17:00 - New SEO Challenges and AIO Strategy Shifts21:00 - Tools for Generative Engine Optimization25:30 - Driving Trust Through Reviews and PR30:00 - Change Management, Team Buy-In, and Final Advice 🔸 Be sure to download this week's Smartcut: https://smartcuts.io/63And check out the related prompts at: https://PromptVault.studio

Send us Fan MailIn this episode of Using AI at Work, Chris Daigle sits down with Andrew Amann, CEO of NineTwoThree, a seasoned engineer and product builder who’s been working with AI since 2016. Andrew shares insights from building over 150 AI products and discusses the critical importance of systems thinking, workflow-level automation, and enterprise readiness for AI integration. They explore why most “AI use” today is surface-level and how deeper workflow automations—especially in manufacturing, legal, and finance—can deliver massive returns. From startup struggles to scaling complex AI agencies, Andrew offers practical advice for professionals seeking to evolve their careers or businesses with AI.🔎 Find Out More About Andrew Amann and NineTwoThree:https://www.linkedin.com/in/andrewamann/https://www.ninetwothree.co/🛠 AI Tools and Resources Mentioned in This Episode:ChatGPT ➡ https://openai.com/chatgptZapier ➡ https://zapier.comMake ➡ https://www.make.comLovo ➡ https://www.lovo.aiCursor ➡ https://www.cursor.shGemini ➡ https://gemini.google.comContently AI ➡ https://contently.comChapters:00:00 - Introduction to Andrew Amann03:35 - What 14 Startups Taught Him About Building07:00 - Should You Launch an AI Startup? Maybe Not10:59 - Turn What You Know Into AI Gold15:10 - Why Most Companies Are Doing AI Wrong18:48 - The Future: AI That’s Baked Into Everything23:35 - Twitter Hacks vs. Real AI Engineering27:56 - Finding Clients in a Noisy AI Market32:40 - Pricing AI: It’s Not About Time Spent37:45 - Getting Teams Excited About AI Again46:18 - How to Work with Andrew and His Team🔸 Be sure to download this week's Smartcut: https://smartcuts.io/62And check out the related prompts at: https://PromptVault.studio

Send us Fan MailIn this episode of Using AI at Work, Chris Daigle sits down with Khurram Sheikh, founder and CEO of CXAI, a public company revolutionizing the way large enterprises manage workplace logistics through AI. Khurram introduces CXAI’s powerful platform that simplifies desk and meeting room reservations, enables personalized employee experiences, and delivers real-time space analytics. With global clients like Visa, Adobe, and Warner Bros., CXAI is helping teams navigate hybrid work with ease—automating everything from conference room bookings to in-office lunch orders through a natural language interface. Learn how workplace booking powered by AI is solving real problems for employees and employers alike.🔎 Find Out More About Khurram Sheikh and CXAI:https://www.linkedin.com/in/khurram-sheikh-2020/https://[email protected]🛠 AI Tools and Resources Mentioned in This Episode:CXAI App ➡ https://www.cxapp.comGoogle Cloud Platform (GCP) ➡ https://cloud.google.comGoogle Translate ➡ https://translate.google.comChapters:00:00 - Introduction to Khurram Sheikh and CXAI01:19 - From Stanford to Sprint: Building the First 4G Network02:23 - How the Hybrid Work Shift Inspired CXAI04:45 - What the CXAI App Actually Does for Employees06:35 - Real-World Client Example: Warner Bros. in Singapore08:36 - Automation, AI Integration, and Voice-Driven Experience13:18 - Designing for Productivity, Engagement, and Personalization17:40 - Return-To-Office Strategy and the Role of Data24:17 - The CXAI Kiosk and Smart Office Access44:12 - CXAI Demo: Booking, Navigation, and Analytics in Action🔸 Be sure to download this week's Smartcut: https://smartcuts.io/61And check out the related prompts at: https://PromptVault.studio

Send us Fan MailIn this episode of Using AI at Work, host Chris Daigle catches up with longtime business strategist and Chief AI Officer graduate, Sara Flowers. Known for her deep expertise in workplace optimization, Sara shares how she’s used generative AI to revolutionize operations for multiple eight-figure companies. From streamlining customer service with enterprise tools like Ada to designing custom GPTs for project management, newsletters, and time tracking, Sara reveals her change management strategies and how she seamlessly integrates AI to boost human productivity—not replace it. This is a masterclass in how AI can drive ROI, team morale, and scalability across departments.🔎 Find Out More About Sara Flowers and Grow With Flowers:LinkedIn: https://www.linkedin.com/in/thesaraflowers/Website: https://www.growwithflowers.comEmail: [email protected]🛠 AI Tools and Resources Mentioned in This Episode:ChatGPT ➡ https://chat.openai.comChatGPT for Teams ➡ https://openai.com/teamsAda ➡ https://www.ada.cxTimely ➡ https://memory.ai/timelyTrello ➡ https://trello.comSlack ➡ https://slack.comMidjourney ➡ https://www.midjourney.comChapters:00:00 - Welcome Back and Introducing Sara Flowers01:18 - Sara’s Background and Entry into AI04:03 - From ChatGPT Curiosity to Full Integration07:01 - Building Bots for Every Client Use Case10:22 - Automating Customer Service with Ada15:00 - Measurable Impact and Internal Buy-In20:18 - Managing Change with AI and Transparency26:36 - Expanding AI Across All Departments33:58 - Structuring Teams Around Ongoing AI Growth41:55 - Hiring, Vetting, and The AI Talent Gap50:44 - Final Thoughts and Invitation to Connect 🔸 Be sure to download this week's Smartcut: https://smartcuts.io/60And check out the related prompts at: https://PromptVault.studio

Send us Fan MailAI isn’t just a tool—it’s a game-changer in how we work and communicate. In this episode, Chris Daigle sits down with Claire Bouvier, one of Canada’s top AI experts, to discuss the rise of AI agents and their transformative impact on business and personal productivity. Claire shares her insights on voice AI, neurodivergent-friendly workflows, and how AI can enhance human relationships rather than replace them. From leveraging AI for strategic thinking to creating hyper-personalized workflows, Claire provides a fresh perspective on making AI work for you. Whether you're an AI pro or just starting, this episode is packed with actionable insights on using AI in a way that elevates both productivity and human potential.🔎 Find Out More About Claire Bouvier and Brightlight:https://clairebouvier.comhttps://britelite.io🛠 AI Tools and Resources Mentioned in This Episode:Sesame ➡ https://sesame.chatClaude ➡ https://claude.aiChatGPT ➡ https://openai.com/chatgptFireflies ➡ https://fireflies.aiChapters:00:00 - Introduction to Claire Bouvier02:19 - The Rise of AI Agents in Business05:15 - Using Sesame for Strategic Thinking08:33 - Voice AI vs. Text-Based AI: When to Use Each12:07 - The Power of Brain Dumping with AI18:35 - Why 2025 is the Year of AI Implementation25:12 - Building Custom AI Agents for Your Business32:26 - AI as a Thought Partner for Entrepreneurs40:51 - How AI Can Enhance Human Communication50:17 - Where to Find Claire and Her Work🔸 Be sure to download this week's Smartcut: https://smartcuts.io/59And check out the related prompts at: https://PromptVault.studio

Send us Fan MailAI agents are one of the hottest topics in 2025, but what are they really capable of? In this episode, Chris Daigle sits down with Jake George, co-founder of Agentic Brain, to break down the real-world applications of AI-driven agents in sales and business operations. Jake shares his journey from building developer teams in the crypto space to becoming an expert in AI automation, and he explains how businesses can integrate AI agents to improve sales processes, automate workflows, and boost efficiency. If you've been wondering how to harness AI agents without falling for the hype, this conversation is packed with insights you won’t want to miss.🔎 Find Out More About Jake George and Agentic Brain:https://agenticbrain.comhttps://www.linkedin.com/in/jake-george-ai-genie/🛠 AI Tools and Resources Mentioned in This Episode:LangChain ➡ https://www.langchain.comAutoGen ➡ https://microsoft.github.io/autogen/Relevance AI ➡ https://www.relevanceai.comOpenAI Assistant API ➡ https://openai.com/research/assistantDevin AI ➡ https://www.cognition-labs.comChapters:00:00 - Introduction to Jake George03:22 - Jake’s Journey into AI and Automation08:15 - What Defines an AI Agent?12:40 - Differences Between Agents and Automated Workflows18:05 - How Businesses Can Implement AI Agents Today24:30 - Common Misconceptions About AI Agents30:55 - The Role of AI in Decision-Making Processes36:45 - The Future of AI Agents in 202542:10 - Why AI Adoption Requires Process Optimization49:00 - How to Get Started with AI Agents in Business53:30 - Closing Thoughts and Jake’s Final Advice🔸 Be sure to download this week's Smartcut: https://smartcuts.io/58And check out the related prompts at: https://PromptVault.studio

Send us Fan MailIn this episode of Using AI at Work, Chris Daigle sits down with Mike Allton, a seasoned content creator and strategist, to discuss the impact of AI on business and marketing. Mike shares his journey from keeping AI at arm’s length to fully embracing its potential, offering insights into how businesses can use AI tools like Gemini, Claude, and Magai for content creation, strategic planning, and efficiency. They explore AI literacy, practical adoption strategies, and the importance of building a personal AI copilot to enhance decision-making and productivity. If you’re looking for actionable ways to integrate AI into your work, this conversation is packed with invaluable insights.🔎 Find Out More About Mike Allton and The AI Hat:https://www.theaihat.comhttps://www.linkedin.com/in/mikeallton🛠 AI Tools and Resources Mentioned in This Episode:Gemini ➡ https://gemini.google.comClaude ➡ https://claude.aiMagai ➡ https://magai.coPerplexity ➡ https://www.perplexity.aiChapters:00:00 - Introduction to Mike Allton02:00 - Mike’s Journey into AI and Content Strategy08:15 - How Businesses Should Approach AI Adoption14:05 - AI Literacy: The Key to Staying Competitive20:30 - The Power of AI Copilots for Employees27:45 - AI Tools That Make the Biggest Impact34:10 - Using AI to Strategize Business Growth41:00 - How to Start Speaking on AI in Your Local Community48:15 - The Future of AI and Key Trends to Watch55:00 - Final Thoughts and Where to Learn More🔸 Be sure to download this week's Smartcut: https://smartcuts.io/57And check out the related prompts at: https://PromptVault.studio

Send us Fan MailAI adoption isn't just about using new tools—it's about changing mindsets, training employees, and navigating the challenges of corporate resistance. In this episode, host Chris Nagle sits down with AI consultant and community builder Angie Carel to explore her journey from marketing agency owner to AI adoption strategist. Angie shares her insights on the challenges companies face when implementing AI, the importance of AI literacy at all levels, and how individual learners are leading the charge in AI education. She also discusses the power of local AI communities and why human connection is key in the AI revolution. Whether you're a business leader, an aspiring AI consultant, or just curious about AI’s impact on the workforce, this episode is packed with valuable takeaways!  🔎 Find Out More About Angie Carel and Her Work:https://www.linkedin.com/in/angiecarel/https://www.angiecarel.com 🛠 AI Tools and Resources Mentioned in This Episode: ChatGPT Custom GPTs ➡ https://openai.com/chatgpt Gemini Gems ➡ https://ai.google.dev/gemini Anthropic Claude Projects ➡ https://www.anthropic.com  Chapters: 00:00 - Introduction to Angie Carel 02:18 - From Marketing to AI Consulting 06:47 - Challenges in AI Adoption for Businesses 12:41 - Why AI Literacy is Critical for Companies 20:33 - AI Adoption: Individual Learners vs. Corporations 26:35 - The Role of AI in Workforce Reduction 32:15 - Building and Growing an AI Community 40:11 - The Value of In-Person AI Meetups 49:29 - Why Experience Matters in AI Usage 58:17 - Closing Thoughts and Where to Find Angie🔸 Be sure to download this week's Smartcut: https://smartcuts.io/56 And check out the related prompts at: https://PromptVault.studio

Send us Fan MailIn this special episode of Using AI at Work, host Chris Daigle flips the script as guest host Segovia Smith leads the conversation. They dive into how professionals at all levels can embrace AI to enhance productivity, break into leadership roles, and future-proof their skill sets. Segovia also explores the growing demand for Chief AI Officers, how businesses are adopting AI, and the key traits that make this role a must-have in today’s landscape. Whether you’re an entrepreneur, executive, or consultant, this episode is packed with insights to inspire your next steps in the AI-powered future.🔎 Find Out More About Chris Daigle and Chief AI Officer:LinkedIn: https://www.linkedin.com/in/doctordaigle/Chief AI Officer: https://chiefaiofficer.comUsing AI at Work Free Challenge ➡ https://chiefaiofficer.com/challenge🛠 AI Tools and Resources Mentioned in This Episode:ChatGPT ➡ https://openai.com/chatgptElevenLabs ➡ https://elevenlabs.ioPerplexity AI ➡ https://perplexity.aiChapters:00:00 - Introduction to Using AI at Work01:17 - What Inspired the Chief AI Officer Role?07:33 - The Exploding Demand for AI Experts16:17 - AI in Small Teams and Solopreneurs24:40 - How to Start Thinking Like a Chief AI Officer31:00 - The Free Challenge for Learning AI at Work46:17 - Success Stories from AI Certification Graduates58:01 - Final Insights and How to Get Started🔸 Be sure to download this week's Smartcut: https://smartcuts.io/55And check out the related prompts at: https://PromptVault.studio

Send us Fan MailIn this episode of Using AI at Work, host Chris Nagle sits down with Matt Ivey, founder of Dyslexic.AI, to explore the transformative potential of AI for neurodivergent thinkers. Matt shares his personal journey, from struggling to communicate effectively to leveraging AI tools like ChatGPT, Vnote.AI, and Grammarly to revolutionize his approach to business and personal development. Discover how Matt's insights are driving conversations around inclusive AI design and how his innovations are helping others harness the power of AI, regardless of their challenges.🔎 Find Out More About Matt Ivey and Dyslexic AI:LinkedIn: https://www.linkedin.com/in/mattivey/Dyslexic AI Newsletter: https://www.dyslexic.ai/🛠 AI Tools and Resources Mentioned in This Episode:ChatGPT ➡ https://openai.com/chatgptVnote.AI ➡ https://www.vnote.aiGrammarly ➡ https://www.grammarly.comOtter.ai ➡ https://otter.aiFireflies.ai ➡ https://fireflies.aiFathom ➡ https://www.fathom.videoChapters:00:00 - Introduction to Matt Ivey04:15 - How AI Empowers Neurodivergent Thinkers10:05 - The Breakthrough Moment with ChatGPT16:30 - Voice Tools: Revolutionizing Communication23:45 - Bridging Linear and Lateral Thinking with AI29:30 - Global Impact of AI on Education and Business36:50 - Dyslexic AI’s Vision and Future Goals43:20 - Coaching and Building Opportunities for All46:00 - Closing Thoughts and Resources