Explorez tous les épisodes du podcast Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
| Titre | Date | Durée | |
|---|---|---|---|
| How AI Security Helps Companies Adopt Generative AI Safely with Steven Walchek | 05 oct. 2026 | 00:49:19 | |
How do you scale enterprise AI without exposing the sensitive data your business cannot afford to lose? In this episode Chris sits down with Steven Walchek, Founder and CEO of Liminal, to explore enterprise AI security, AI governance, data privacy, and how leaders can safely accelerate generative AI adoption. Steven explains how enterprises can protect sensitive information before it reaches an LLM, why governance needs to enable AI adoption rather than block it, and how AI agents and tools like Claude Code are changing what teams can build and automate. He also shares practical AI use cases, including his Pocket Sales Engineer and AI-powered product prioritization, showing how non-engineers can turn ideas into working applications without writing code. Leaders should listen for a practical look at balancing AI security, governance, productivity, and innovation as generative AI spreads across the enterprise. Chapters: (00:00) Introduction Resources: 🔎 Find Out More About Steven Walchek Steven Walchek on LinkedIn Liminal Liminal Resources and Blog 🛠 AI Tools and Resources Mentioned: ChatGPT Claude Claude Code OpenAI Codex Perplexity Meta AI OpenClaw | |||
| How AI Workflow Automation Changes the Way Your Business Works with Justin Watt | 28 sept. 2026 | 00:51:05 | |
Why do companies invest in AI without changing how work gets done? In this episode Chris sits down with Justin Watt, co-founder and CEO of Switchboard, to examine why AI adoption often stalls after teams get access to tools. They explore the move from individual AI use to AI workflow automation that supports work across departments. Justin explains why successful business process automation depends on clear handoffs, usable data, and the right permissions. He shares how simplifying a complicated proposal process created a practical opportunity for AI, then discusses how leaders can find a first use case and build the shared context needed for AI agents. Listen for a grounded approach to enterprise AI implementation that starts with the work your team actually does. Chapters: (00:00) Why AI Adoption Hasn’t Changed the Business Resources: 🔎 Find Out More About Justin Watt Switchboard: Justin Watt on LinkedIn: 🛠 AI Tools and Resources Mentioned: Granola: Claude, Claude Code, and Claude Cowork: ChatGPT and Codex: Grok Bot: Notion: | |||
| How to Make Enterprise AI Adoption Successful: Inside the Chief AI Officer Role with Denis Romanovskiy | 21 sept. 2026 | 00:50:08 | |
AI transformation does not start with a massive AI project. In this episode Chris sits down with Denis Romanovskiy, Chief AI Officer at SOFTSWISS, to explore what enterprise AI adoption looks like when someone is actually responsible for turning the technology into business results. Denis explains why the Chief AI Officer role sits at the intersection of technology, operations, change management, security, and employee enablement. They discuss how companies can identify internal AI leaders, why Denis prefers measuring "economic effect" before chasing traditional ROI, and how small employee-led experiments can build momentum across an organization. Denis also shares lessons from SOFTSWISS's company-wide AI hackathon, including how non-technical employees became active builders when given the right support. For leaders trying to move AI from scattered experimentation into everyday work, this conversation offers a practical look at building adoption, accountability, and human oversight at scale.
(00:00) Introduction Resources: 🔎 Find Out More About Denis Romanovskiy LinkedIn: https://www.linkedin.com/in/dionique SOFTSWISS: 🛠 AI Tools and Resources Mentioned: OpenAI: | |||
| Why AI Pilots Fail: How to Escape AI Pilot Purgatory and Scale Enterprise AI with Ronnie Kwesi Coleman | 14 sept. 2026 | 00:44:48 | |
Most AI pilots do not fail because the technology is weak. They fail because the organization was never prepared to turn the experiment into a real operating workflow. In this episode Chris sits down with Ronnie Kwesi Coleman, CEO of Puntt AI and a three-time founder focused on the future of work. They unpack the mistakes that keep enterprise AI stuck in AI pilot purgatory, why expert judgment matters more than simply giving AI more data, how AI agents should learn alongside experienced employees, and why productivity without measurable business outcomes and AI ROI is the wrong target. They also explore the shift from creation to review as a new AI bottleneck, the limitations of the "single company brain" idea, and the risks of building an enterprise AI strategy around one provider. Listen to learn how leaders can move AI pilots from experimentation into production while preserving the judgment, integrations, and strategic flexibility required for scaling AI across the organization. Chapters (00:00) Introduction Resources: 🔎 Find Out More About Ronnie Kwesi Coleman Puntt AI Ronnie Kwesi Coleman on LinkedIn
Puntt AI Anthropic Claude OpenAI Fall in Love with the Problem, Not the Solution by Uri Levine | |||
| How to Use AI Without Losing Human Judgment: AI Decision-Making and the Future of work | Rana Gujral | 07 sept. 2026 | 00:46:29 | |
AI can make your team faster while quietly making them worse at thinking. In this episode Chris sits down with Rana Gujral, cognitive AI leader, CEO of Behavioral Signals, and author of The AI Instinct, to explore what happens when AI moves from a productivity tool into the cognitive infrastructure businesses use to make decisions. Rana explains why leaders need to distinguish between employees who are genuinely deciding and those who are simply approving AI output, how reversibility can determine when rigorous decision trails are necessary, and why organizations should deliberately preserve opportunities for people to exercise judgment without AI. He also shares his personal process for working with AI on strategic decisions and challenges leaders to measure what AI is doing to their team's thinking, not only their output. Listen to learn how to capture AI's advantages without quietly outsourcing the judgment your organization will need when the easy answers disappear. Chapters: (00:00) Introduction
🔎 Find Out More About Rana Gujral Rana Gujral Website: Rana Gujral on LinkedIn: Behavioral Signals: Book: The AI Instinct: The Future of AI and Human Decision-Making
Claude: Chat GPT: Gemini: Chief AI Officer: Wiley: | |||
| How AI Is Changing Management at Work: From AI Assistant to AI Chief of Staff with Erkang Zheng | 31 août 2026 | 00:47:43 | |
AI may automate more execution, but that makes judgment, coordination, and management more important. In this episode Chris sits down with Erkang “Ken” Zheng, founder and CEO of Ariso, to explore why the next major opportunity for AI at work is not simply producing more content, but helping people manage work more effectively. Ken explains why every knowledge worker increasingly needs management skills, including tracking, prioritization, communication, accountability, and reflection. He also breaks down Ariso’s distributed approach to the “company brain,” the role of an AI chief of staff, and how individual AI partners can improve coordination while preserving access controls and privacy. Listen to understand how leaders can use AI to strengthen the management layer of work as execution becomes increasingly automated.
🔎 Find Out More About Erkang “Ken” Zheng Ariso: Ariso Blog: Ariso LinkedIn: Erkang Zheng on LinkedIn:
Ariso / Ari: ChatGPT: Claude and Claude Code: Fathom: Fireflies.ai: OpenClaw: 📩 Reach Out to Chris Daigle: doc@chiefaiofficer.com | |||
| AI Agents Are Changing Accounting Forever | The New Future of Finance & ERP with John Glasgow | 24 août 2026 | 00:42:36 | |
What if the biggest bottleneck in finance isn't the software, but the way work gets done? In this episode Chris sits down with John Glasgow, Founder and CEO of Campfire, an AI-native ERP platform built for finance and accounting teams. John explains why simply adding AI to legacy systems falls short, how agentic workflows are changing accounting operations, and why finance leaders should think of AI as a teammate rather than a tool. He shares real examples of AI handling reconciliations, treasury management, reporting, and close processes while keeping humans accountable for outcomes. The conversation explores practical adoption strategies, how finance teams can build trust in AI, and where human judgment remains essential. Leaders will come away with a clear framework for introducing AI into critical business processes while maintaining accuracy, accountability, and stakeholder confidence. Chapters:
Campfire Campfire LinkedIn
Campfire Claude Anthropic NetSuite Workday QuickBooks Xero | |||
| How to Use AI to Hire Better: AI Recruitment, Screening & the Future of Hiring | James Terry | 17 août 2026 | 00:50:04 | |
Hiring is getting faster, noisier, and harder to evaluate. In this episode Chris talks with James Terry, Head of US Revenue at Indeed Flex, about how AI is reshaping recruiting from application screening to workforce planning. James explains why rising application volume is pushing employers toward AI interviews, how human review still fits into the process, and where AI can help recruiters evaluate candidate skills at a scale traditional hiring workflows cannot handle. They also explore how AI can move HR beyond administrative work by connecting workforce, operations, and performance data, plus how James uses tools including Gemini and NotebookLM to accelerate proposals and decision support. The conversation ultimately shifts from replacing jobs to redesigning roles, building stronger AI fluency, and giving teams access to the data that makes AI genuinely useful. Listen for a practical look at what AI adoption becomes when leaders move beyond experimentation and apply it to real operating problems.
00.00 Introduction
🔎 Find Out More About James Terry James Terry on LinkedIn: Indeed Flex: Indeed Flex contingent labor webinar featuring James Terry: https://indeedflex.com/employers/resources/industry-reports/webinar-contingent-labor-in-manufacturing-competitive-advantage/
Indeed Smart Screening: Google Gemini: Gemini Gems:
Snowflake: Tableau: ChatGPT: Chief AI Officer: Using AI at Work: | |||
| How to Build an AI Strategy That Delivers Real Business Results | Eddie Irvin | 10 août 2026 | 00:53:40 | |
Most AI projects do not fail because the model is weak. In this episode Chris talks with Eddie Irvin, founder of Nashville AI Advisory, about the practical work leaders need to do before AI can deliver value. Eddie explains why process clarity, prioritization, and communication between business owners and technical builders are often more important than choosing the newest tool. Chris and Eddie break down how to identify a strong first AI project, why CEOs should stay involved in defining business rules, and how richer context improves results from ChatGPT and Claude. They also cover dictation, roundtable prompting, Codex, Claude Code, and using multiple models to pressure test important decisions. Listen if you want a grounded framework for moving from AI interest to useful systems your business can actually operate. Chapters: (00:00) Introduction 🔎 Find Out More About Eddie Irvin Eddie Irvin on LinkedIn: Nashville AI Advisory: 🛠 AI Tools and Resources Mentioned: ChatGPT: | |||
| How to Implement AI in Your Business: From AI Use Cases to Real ROI | Dr. Markus Schmidberger | 03 août 2026 | 00:51:24 | |
AI adoption can create value, but it can also create a new organizational bottleneck. In this episode Chris sits down with Dr. Markus Schmidberger, Founder and CTO of JuntoAI, to challenge the assumption that every company needs a Chief AI Officer. They explore the growing AI business gap, why adoption is fundamentally a cultural enablement issue, and how governance, HR, and distributed ownership should work together. Markus shares an in-residence model for discovering use cases, moving the strongest ideas into production, and measuring ROI through agent outcomes rather than token consumption. He also explains why unrestricted experimentation can distract teams from core strategy and how JuntoAI is rethinking professional networking with digital twins and AI agents. Leaders should listen for a practical framework to scale AI without centralizing responsibility or losing strategic focus.
(00:00) Introduction 🔎 Find Out More About Dr. Markus Schmidberger Dr. Markus Schmidberger on LinkedIn JuntoAI on LinkedIn JuntoAI 🛠 AI Tools and Resources Mentioned: JuntoAI | |||
| 114: Using AI Implementation Strategies To Drive Real Business Impact with Darren Ward | 27 juil. 2026 | 00:59:54 | |
Buying AI licenses is easy; changing how work gets done is the real leadership challenge. In this episode Chris sits down with Darren Ward, a Chief Strategic Innovation Officer leading internal AI adoption at a mid-market operating company. Darren shares how he moved from operational leadership into a dedicated AI role and why successful transformation requires executive ownership, practical use cases, and a clear connection to business priorities. They discuss why pull-based adoption outperforms mandatory training, how power users create department-level momentum, and how a tiered stack of Gemini, ChatGPT, Claude, and an internal RAG interface can balance capability, cost, and data access. Darren also explains how policy, prompting fundamentals, human review, and approved tools reduce hallucination risk and shadow AI. Leaders should listen for a grounded playbook for moving from experimentation to measurable adoption without treating AI as another technology side project. Chapters: 00:00 Introduction
🔎 Find Out More About Darren Ward Darren Ward on LinkedIn:
ChatGPT: Google Gemini: Claude: Claude Code: Microsoft Copilot: OpenAI API: Anthropic API: Gemini API: | |||
| 113: Using AI Agents for Business: From Chatbots to Autonomous Workflows with Bryan McAnulty | 20 juil. 2026 | 00:55:16 | |
Summary The biggest shift in AI may be moving from asking questions to assigning work. In this episode Chris sits down with Bryan McAnulty, founder and product director of Heights Platform and LatchLoop, to explore why leaders should approach AI as a worker assigned to tasks and projects rather than a chatbot producing one-time answers. Bryan explains how long-running agents can conduct research, analyze information, automate recurring work, and support teams without constant human supervision. Chris and Bryan also unpack the operating model leaders need around context, permissions, approval gates, prompt injection, process ownership, and human judgment. Listen to learn how to begin with specialized agents, protect critical systems, and use expanded AI capacity to create better customer outcomes rather than simply reduce headcount. Chapters 00:00 Episode Trailer
LatchLoop: https://www.latchloop.com/ Heights Platform: https://www.heightsplatform.com/ ChatGPT: https://chatgpt.com/ | |||
| 112: AI-Driven Leadership: Using the CRIT Framework Make Faster, Smarter Decisions with Geoff Woods | 13 juil. 2026 | 00:54:38 | |
AI adoption stalls when leaders delegate the thinking. In this episode Chris sits down with Geoff Woods, bestselling author of The AI-Driven Leader and founder of AI Leadership, to explore why AI strategy must begin with the CEO and executive team. Geoff explains the difference between using AI for minor tasks and using it as a strategic thought partner for the decisions that shape enterprise value. They break down the CRIT framework, practical prompts for solving major business problems, a financial review exercise that created stronger operating visibility, and a leadership exercise designed to multiply the value of high-performing employees. Geoff also shares what changed in the updated 2026 edition of his book and how leaders can access its companion training and bonuses. Listen to learn how to move AI from scattered tool usage into a leadership discipline that improves judgment, alignment, and execution. Chapters:00:00 Introduction Geoff Woods Official Bio: https://www.aileadership.com/geoff-woods/ Geoff Woods on LinkedIn: https://www.linkedin.com/in/geoff-woods-8534774 Book: The AI-Driven Leader, updated 2026 edition: https://www.aileadership.com/book/ Bonus redemption page: AI Leadership: https://www.aileadership.com/ AI Leadership Newsletter: https://www.aileadership.com/newsletter The AI-Driven Leader Podcast on Spotify: https://open.spotify.com/show/2qSY9ZFTBJisoKp9eACbeb The AI-Driven Leader Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-driven-leader/id1723615439 🛠 AI Tools and Resources Mentioned:
CRIT stands for Context, Role, Interview, and Task. Context: Describe the problem in vivid detail. Role: “You are a world-class chief growth officer who is also an aggressive, growth-minded board member. You think strategically about the business that could put us out of business and how we could build it first. Focus on the 20% that drives 80% of the results.” Interview: “Interview me. Ask me one question at a time, up to three questions, to gain deeper context.” Task: “Give me the top three high-impact, non-obvious strategies I can deploy to solve this problem.” CRIT framework resource: Financial Review CRIT Prompt Context: “Here are my financials for the last month.” Attach the relevant financial statements. Role: “You are a world-class CFO who is excellent at telling a CEO what they do not know, but should know, about their business based on their financials.” Interview: “Interview me. Ask me one question at a time, up to five questions, to gain deeper context.” Task: “Tell me the top five things I am not seeing that I should be seeing, and what I should do in the next 30 days to improve the financial health of my company.” Executive Multiplier Exercise Write a CRIT prompt that asks AI to help you identify your greatest strengths, including strengths you may not currently be using inside the business. Compare those strengths with the company’s goals and cast a vision for how you could bring 10 times to 100 times more value. Then identify:
This exercise is based on the leadership example Geoff shares during the episode. The Two-Sticky-Note Exercise Sticky note one: “How can AI help me do this?” Sticky note two: “Context, Role, Interview, Task.” Place both notes where you work and use them as a daily trigger to apply AI to meaningful strategic problems rather than only administrative tasks. ChatGPT Claude Microsoft Copilot Google Gemini Claude Code ElevenLabs AI Leadership Collective | |||
| 111: Using AI in the Workplace for Smarter Hiring and Pay Decisions with Cary Sparrow | 06 juil. 2026 | 00:59:26 | |
The labor market is moving faster than most leaders can see. In this episode Chris sits down with Cary Sparrow, founder and CEO of WageScape, to discuss how real time labor market intelligence is reshaping hiring, compensation, workforce planning, and the competition for talent. Cary explains why traditional labor market data often moves too slowly for executive decisions, how pay transparency is changing the talent market, and why AI literacy is becoming a practical requirement across roles. The conversation gives leaders a clear view of how AI is affecting both workforce strategy and individual career resilience, making this episode worth listening to for anyone responsible for hiring, talent, or organizational performance.
(00:00) Introduction
🔎 Find Out More About Cary Sparrow: Cary Sparrow LinkedIn 🛠 AI Tools and Resources Mentioned: WageScape | |||
| 110: AI in Education: Building Trust While Preparing Students for the Future with Jason Hill | 29 juin 2026 | 01:01:31 | |
AI in education is no longer a future debate, it is a leadership decision happening now. In this episode Chris talks with Jason Hill, Deputy Superintendent and CBO at Redlands Unified School District, about what AI adoption looks like inside a large K-12 school district with major operational, safety, instructional, and community considerations. Claude https://claude.ai | |||
| 109: Using AI Meeting Notes to Turn Conversations Into Business Outcomes with Artem Koren | 22 juin 2026 | 00:55:39 | |
AI adoption often succeeds or fails in the ordinary work leaders overlook. In this episode Chris sits down with Artem Koren, Co-founder and Chief Product Officer of Sembly AI, to discuss how organizations can turn everyday conversations into structured intelligence, clearer decisions, and measurable execution. Artem’s work focuses on agentic systems, professional workflows, and making AI useful, safe, and practical for teams. Chris and Artem explore how AI-powered workflows can replace manual meeting admin, surface the work that matters, and help managers spend more time on strategy, judgment, and people. They also discuss responsible AI adoption, trust, and what executives need to understand before scaling AI across the organization. Leaders should listen for a grounded view of how to make AI adoption useful inside real operating teams. Chapters: (00:00) Introduction 🔎 Find Out More About Artem Koren: Artem Koren Website https://www.artemkoren.com/ Artem Koren LinkedIn https://www.linkedin.com/in/akoren Sembly AI Website https://www.sembly.ai/ 🛠 AI Tools and Resources Mentioned: Sembly AI | |||
| 108: Using AI Detection Tools to Fight AI Slop and Preserve Authenticity Online with Max Spero | 15 juin 2026 | 00:54:54 | |
The internet is filling up with content that looks real but may not be. In this episode Chris sits down with Max Spero, co-founder and CEO of Pangram Labs, an AI text detection company helping organizations distinguish human authored content from AI generated content. They explore how AI generated content is reshaping social media, recruiting, education, search, and business communication, and why trust is becoming a strategic business issue. Chris and Max discuss the rise of AI slop, the risks of outsourcing critical thinking, the role of detection and transparency in AI adoption, and how leaders can create policies that encourage responsible AI use without sacrificing productivity. If you want practical guidance on balancing AI efficiency with human authenticity, this episode will help you prepare for what comes next.
🔎 Find Out More About Max Spero Max Spero LinkedIn Pangram Labs Pangram LinkedIn Technical Report on the Pangram AI-Generated Text Classifier
Pangram Pangram Chrome Extension ChatGPT Claude OpenAI Google Gemini Reality Defender AirOps Apollo OpenClaw | |||
| 107: Using Generative Engine Optimization (GEO) to Win the AI Search Race with Cole Casperson | 08 juin 2026 | 00:57:57 | |
The way customers discover brands is changing faster than most companies realize. In this episode Chris sits down with Cole Casperson, Chief Data Officer and Partner at CrankTank, to explore how AI is transforming search, e-commerce, and customer discovery. Cole explains why traditional keyword-based SEO is giving way to AI retrieval systems that understand meaning, how large language models decide which brands get recommended, and why visibility in AI-generated answers is becoming a critical business advantage. They discuss the rise of Generative Engine Optimization (GEO), the shift from keywords to concepts, how Amazon's AI systems foreshadow what's happening across the web, and why CEOs, product teams, and marketers all need to understand AI-driven discovery. Whether you sell products, services, or enterprise solutions, this episode offers practical insight into how buyers are finding companies today and why leaders who adapt early will be better positioned to compete in the AI era.
(00:00) Introduction
Cole Casperson LinkedIn CrankTank REACH by CrankTank CrankTank LinkedIn
ChatGPT Claude Google Gemini Amazon Rufus Amazon Alexa Microsoft Bing Brave Search Google Merchant Center Google Performance Max Meta Advantage+ Retrieval Augmented Generation (RAG) | |||
| 106: Using AI Assessment Tools to Reveal Hidden Automation Opportunities with Corey Ganim | 01 juin 2026 | 01:08:18 | |
Most business owners know AI matters, but few know where to start. In this episode Chris sits down with Corey Ganim, entrepreneur, AI consultant, and creator of AI assessment frameworks for small businesses. Corey shares how he helps non-technical business owners identify automation opportunities, reduce manual work, and implement practical AI solutions that generate measurable time savings. From AI skills and projects to voice agents and workflow automation, he explains how leaders can get results without becoming technical experts. The conversation explores AI assessments, token efficiency, brand voice systems, AI-powered knowledge management, and the future of AI agents inside organizations. Corey also shares lessons learned building AI services, evaluating tools, and helping businesses create the data foundations required for long-term AI success. Leaders looking for practical AI implementation strategies will find actionable ideas they can apply immediately.
(00:00) Introduction
Corey Ganim LinkedIn Corey Ganim Website X (Twitter) Build With AI Podcast: https://podcasts.apple.com/us/podcast/build-with-ai/id1689819329 🛠 AI Tools and Resources Mentioned: Claude ChatGPT Claude Code OpenAI Codex Gamma Google Gemini Zapier FutureTools Fathom SaneBox TaxJar Retell AI Twilio ElevenLabs Notion | |||
| 105: Using Voice AI for Customer Service, Sales, and Enterprise Growth with Shawn Zhang | 25 mai 2026 | 00:46:32 | |
Voice AI is advancing faster than most organizations realize. In this episode Chris talks with Shawn Zhang, CTO and co-founder of Sanas, the enterprise voice AI company focused on improving global communication through AI. Shawn shares how voice AI is evolving beyond call automation into a foundational layer for communication, context capture, and more natural human interaction with AI systems. The conversation explores enterprise use cases, latency, customer service, sales applications, and what leaders should evaluate before investing in voice AI solutions. Executives exploring AI adoption will gain practical insight into where voice technology delivers value today and where the next wave of opportunity is emerging.
00:00 Introduction 02:27 Why Voice AI Matters for Business Leaders 04:47 Are We Early or Late to Voice AI? 06:06 Why Speech Is More Than Words 07:42 How Sanas Separates Voice Signals and Context 11:54 Enterprise Use Cases for Voice AI 15:23 Security, Local AI, and Enterprise Deployment 21:16 How Leaders Should Evaluate Voice AI Vendors 32:00 Why Latency Changes User Experience
🔎 Find Out More About Shawn Zhang: Shawn Zhang LinkedIn Sanas 🛠 AI Tools and Resources Mentioned: OpenAI | |||
| 104: Using AI Coworkers to Build Smarter Business Operations with Karl Simon | 18 mai 2026 | 00:52:44 | |
Most companies are using AI, but very few are redesigning work around it. In this episode Chris sits down with Karl Simon, co-founder and CTO of Subatomic, an AI workflow orchestration company, to explore why task based AI adoption is limiting business impact. They discuss the shift from isolated AI use cases toward unified workflows powered by clean data, AI coworkers, and cross functional orchestration. The conversation also explores how organizations may flatten hierarchies as AI takes over information movement and decision support responsibilities. Chris and Karl unpack practical steps leaders can take to move from experimentation into operational transformation, including workflow discovery, data readiness, security, and ROI prioritization. Leaders looking to move beyond AI pilots and toward business redesign will find this episode especially valuable.
00:00 Introduction
🔎 Find Out More About Karl Simon Karl Simon LinkedIn 🛠 AI Tools and Resources Mentioned: Subatomic
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| 103: Using AI in Manufacturing: Generative vs. Predictive and Autonomous AI with Bryan DeBois | 11 mai 2026 | 00:54:57 | |
Most 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 Introduction
🔎 Find Out More About Bryan DeBois Bryan DeBois on LinkedIn: RoviSys Industrial AI: RoviSys: 🛠 AI Tools and Resources Mentioned: ChatGPT: | |||
| 102: The AI-Native Company: What Comes After the Org Chart with Melissa Reeve | 04 mai 2026 | 00:55:02 | |
Most 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.
00:00 Introduction 🔎 Find Out More About Melissa Reeve Melissa Reeve LinkedIn Hyperadaptive Solutions Blueprint Session 🛠 AI Tools and Resources Mentioned: AI Integration Guide AI Learning Flywheel Ebook Applied AI Workshop | |||
| 101: How to Audit Your Dev Partner in the Age of AI with Matt Strippelhof | 27 avr. 2026 | 00:51:35 | |
Most 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.
00:00 Introduction 🔎 Find Out More About Matt Strippelhoff Matt Strippelhoff LinkedIn Red Hawk Technologies 🛠 AI Tools and Resources Mentioned: Claude | |||
| 100: Human Plus AI Strategy: Redefining Team Structure in the Age of Automation with Evan J Schwartz | 20 avr. 2026 | 01:00:39 | |
Most 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.
00:00 Introduction 🔎 Find Out More About Evan J Schwartz Evan J Schwartz LinkedIn 🛠 AI Tools and Resources Mentioned: ChatGPT
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| 99: Using AI Automation to Build Smarter Workflows Across Your Organization with Marc Boscher | 13 avr. 2026 | 00:52:29 | |
Most 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.
00:00:00 Introduction
LinkedIn: https://www.linkedin.com/in/marcboscher Unito: https://unito.io
Unito – https://unito.io Salesforce – https://www.salesforce.com ServiceNow – https://www.servicenow.com GitHub – https://github.com HubSpot – https://www.hubspot.com NetSuite – https://www.netsuite.com Workday – https://www.workday.com ChatGPT – https://chat.openai.com Claude – https://claude.ai Gemini – https://gemini.google.com Copilot – https://copilot.microsoft.com | |||
| 98: How to Build AI Agents That Automate Workflows Without Coding with Etan Polinger | 06 avr. 2026 | 01:03:31 | |
Most 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.
00:00 Introduction 00:12 Why Asking Better Questions Unlocks AI 00:33 What Is Actually Possible With AI Today 00:52 What an AI Agent Really Is 01:46 Bridging AI Hype and Real Execution 03:05 Why Non-Technical People Can Now Build 05:19 Where Business Leaders Should Start 08:52 Real Examples of AI Agents in Action 13:57 The Right Way to Start Building With AI 17:36 How Long It Takes to Learn This Skill 22:13 Why Your AI Builds Keep Breaking 33:29 Common Mistakes When Building Agents 38:02 The SCOUTS Framework Explained 44:20 The Most Powerful Question You Can Ask AI
LinkedIn: https://www.linkedin.com/in/etan-polinger
AI Agents + Automation Certification ChatGPT (OpenAI) Claude (Anthropic) OpenAI Cursor (AI Code Editor) Lovable (AI App Builder) OpenClaw (AI Agent Framework) N8N (Workflow Automation) Salesforce Notion Perplexity AI Context7 (Code + Documentation Tool) Chief AI Officer Program | |||
| 97: Using AI for Customer Support: Voice AI vs Humans in Customer Service Strategy with Nathan Strum | 30 mars 2026 | 00:41:13 | |
Most 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.
00:00 Introduction 🔎 Find Out More About Nathan Strum Abby Connect Website LinkedIn https://www.linkedin.com/company/abby-connect/ Facebook https://www.facebook.com/abbyconnect/ Website: https://www.abby.com/ 🛠 AI Tools and Resources Mentioned OpenAI Anthropic Google Gemini ElevenLabs | |||
| 96: Using AI Adoption Strategies That Actually Deliver ROI for Your Business with Jim Spignardo | 23 mars 2026 | 00:53:45 | |
Most 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.
00:00 Introduction 🔎 Find Out More About Jim Spignardo LinkedIn: https://www.linkedin.com/in/spignardo ProArch: https://www.proarch.com 🛠 AI Tools and Resources Mentioned: Microsoft Copilot Microsoft Defender for Cloud Apps Microsoft Purview (Data Loss Prevention & Information Protection) Azure OpenAI Service OpenAI / ChatGPT Claude (Anthropic) Cursor (AI coding assistant) | |||
| 95: The Dark Side of Gen AI: When Platforms Move Faster Than Regulation with Jesse Jameson | 16 mars 2026 | 00:49:59 | |
What 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. 00:00 AI Voice Licensing and the Start of a Major Discovery
LinkedIn: Jesse Jameson Substack: @jpjameson Youtube: @jpjameson Website: https://11laudit.com The 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
ElevenLabs: OpenAI: Anthropic: LLaMA: | |||
| 94: Using AI vs Human Intelligence: When Should Leaders Trust Machines with Vasant Dhar | 09 mars 2026 | 00:58:38 | |
The 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. Chapters 00:00 Introduction
Website: Book: Thinking with Machines: The Brave New World of AI Podcast: Brave New World Substack Newsletter:
ChatGPT Claude Grok Chief AI Officer (Sponsor) Using AI at Work | |||
| 93: Using Generative AI to Develop a Winning Strategy for Business Leaders with Justin Trombold | 02 mars 2026 | 00:50:25 | |
Most 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 Trombold Website: https://www.antesynadvisors.com LinkedIn: https://www.linkedin.com/in/trombold 🛠 AI Tools and Resources Mentioned ChatGPT (OpenAI) Claude (Anthropic) Gemini (Google) Grok (xAI) | |||
| 92: Using AI for Smarter Marketing: Synthetic Audiences, OpenClaw & AI Agents with Justin Brooke | 23 févr. 2026 | 00:54:49 | |
Before 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 Brooke X: @IMJustinBrooke 🛠 AI Tools and Resources Mentioned MindStudio - https://mindstudio.ai Make – https://www.make.com Claude – https://claude.ai OpenAI – https://openai.com DigitalOcean – https://www.digitalocean.com Docker – https://www.docker.com CrewAI – https://www.crewai.com LangChain – https://www.langchain.com Fathom – https://fathom.video Chapters: 00:00 Introduction 03:13 “Virtual Focus Groups” and Why They Matter 03:47 Justin’s Origin Story: From Intern to Advertiser 08:45 From Personas to Synthetic Audiences 15:24 How the System Produces Variations and Picks Winners 20:09 How “Mad Men” Marketers React to Market Feedback 22:21 Building Real ICPs: 1,000+ Words, Not One-Liners 27:15 The New York Times “Digital Twin” and 92% Accuracy 30:13 Tool Stack: MindStudio, Claude Projects, and Agent Frameworks 35:16 OpenClaw, AI Agents & Security Considerations 49:55 Staying Focused: Pick Your Lane in AI | |||
| 91: Using AI in Sales to Automate Go-to-Market Execution with Jason Eubanks | 16 févr. 2026 | 00:46:50 | |
Most 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 Eubanks 🌐 Learn More About Aurasell AI 🛠 AI Tools and Resources Mentioned Aurasell GTM Operating System Chat Gpt https://chatgpt.com/ Salesforce HubSpot Chapters: (00:00) Introduction | |||
| 90: Using AI at Work to Create an AI Quality Assurance System with Hernan Lardiez | 09 févr. 2026 | 00:55:28 | |
Chris 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. | |||
| 89: Using AI at Work to Lead Through Change Without Losing Trust with Bill Gallagher | 02 févr. 2026 | 00:54:15 | |
Chris 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. | |||
| 88: Using AI at Work to Rethink People Strategy and Leadership with Kate Bravery | 26 janv. 2026 | 00:56:24 | |
Chris 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 Mercer Kate Bravery on LinkedIn Mercer 🛠 AI Tools and Resources Mentioned ChatGPT Internal AI systems used for workforce analytics and decision support 📌 Chapters 00:00 Introduction to Kate Bravery | |||
| 87: The AI Tool Stack Every Executive Needs | 19 janv. 2026 | 00:20:20 | |
In 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 Officer Chris Daigle on LinkedIn Chief AI Officer 🛠 AI Tools and Resources Mentioned Fathom Perplexity Comet Browser by Perplexity NotebookLM Gamma Nano Banana image generation inside Google Gemini ChatGPT 📌 Chapters 00:00 Why this episode is different 06:18 Will AI replace jobs | |||
| 86: Using AI at Work to Rethink How We Learn and Build Expertise | 12 janv. 2026 | 00:58:31 | |
Chris 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. | |||
| 85: Using AI at Work to Reduce Tool Overload and Drive Real Productivity with Tim Cakir | 05 janv. 2026 | 01:04:42 | |
Chris 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 Cakir Tim Cakir on LinkedIn AI Operator 🛠 AI Tools and Resources Mentioned ChatGPT — https://chat.openai.com Internal AI assistants used inside organizations 📌 Chapters 00:00 Introduction to Tim Cakir | |||
| 84: Using AI at Work to Optimize Workforce Scheduling and Planning with Mohamed Yousuf | 29 déc. 2025 | 00:46:09 | |
Chris 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 AI https://www.linkedin.com/in/mohamed-a-yousuf/ 🛠 AI Tools and Resources Mentioned ChatGPT AI powered workforce forecasting models 📌 Chapters 00:00 Introduction to Mohamed Yousuf | |||
| 83: Using AI to Scale Marketing and Revenue Teams with Patrick Leung | 22 déc. 2025 | 00:56:33 | |
Chris 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 Mentioned ChatGPT ➡ https://openai.com/chatgpt 📌 Chapters 00:00 - Introduction to Patrick Leung | |||
| Episode 82: Using AI at Work to Win in Search and LLM Discovery with Zak Ali | 15 déc. 2025 | 00:54:57 | |
Chris 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 Ali LinkedIn Substack Finder 🛠 AI Tools and Resources Mentioned ChatGPT Claude Perplexity Notebook LM 📌 Chapters 00:00 Introduction to Zak Ali and Finder | |||
| 81: Using AI at Work to Build Human AI Collaboration and Transform Processes | 08 déc. 2025 | 00:43:51 | |
Chris 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 Geoff Gibbins on LinkedIn: ChiefAIOfficer Resources: 00:00 Introduction | |||
| 80: Using AI at Work to Evolve Content Strategy and Audience Growth with Michael Stelzner | 01 déc. 2025 | 01:02:57 | |
Chris 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.
Michael Stelzner is the founder of Social Media Examiner and Social Media Marketing World, the industry’s largest social media marketing conference. 🎁 Exclusive Offer for Our Listeners Michael has created a special discount for the Using AI at Work audience: Redeem here → http://www.socialmediaexaminer.com/AIatWork 🔗 Find Out More About Michael Stelzner LinkedIn Social Media Examiner Social Media Marketing Podcast 🛠 AI Tools and Resources Mentioned ChatGPT Notion AI Descript Chief AI Officer Resources 📌 Chapters 00:00 – Introduction to Michael Stelzner | |||
| 79: Using AI at Work to Reimagine Marketing and Customer Experience with Etan Polinger | 24 nov. 2025 | 01:02:14 | |
Chris 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 Polinger LinkedIn 🛠 AI Tools and Resources Mentioned ChatGPT Jasper AI Surfer SEO Chief AI Officer Resources 📌 Chapters 00:00 – Introduction to Etan Polinger | |||
| 78: Using AI at Work to Rethink Talent and Workforce Strategy with Peter Cappelli | 17 nov. 2025 | 01:03:19 | |
Chris 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 Cappelli LinkedIn Book by Peter Cappelli 🛠 AI Tools and Resources Mentioned ChatGPT Chief AI Officer Resources 📌 Chapters | |||
| 77: Using AI at Work to Fix Business Bottlenecks with Chris Duffy | 10 nov. 2025 | 00:49:06 | |
Chris 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 DuffyWebsite LinkedIn ChatGPT 00:00 – Introduction to Chris Duffy | |||
| 76: Using AI at Work to Build Creative Strategy with Allen Martinez | 03 nov. 2025 | 00:55:15 | |
Chris 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 Digital Allen Martinez - https://linktr.ee/allenmartinez Noble Digital Website 🛠 AI Tools and Resources Mentioned ChatGPT ➡ https://openai.com/chatgpt 📌 Chapters 00:00 – Intro to Allen Martinez | |||
| 75: Using AI at Work to Activate Humans in the Workplace with Kristin Ginn | 27 oct. 2025 | 00:55:28 | |
In 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.
Follow Kristin Ginn on LinkedIn 🛠 AI Tools and Resources Mentioned ChatGPT Internal AI Assistants 📌 Chapters 00:00 Intro to Kristin Ginn | |||