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

On "Using AI at Work", your host Chris Daigle and his expert guests help business leaders, executives, and teams who want to turn artificial intelligence into a real competitive advantage. Each episode shares real-world AI applications and AI transformation stories from companies successfully using AI in the workplace to improve productivity, decision-making, and operations. You’ll hear from Chief AI Officers , innovators, and forward-thinking executives who are putting generative AI at work, from AI productivity tools and AI-powered workflows to non-technical AI training and workplace AI adoption strategies . We cover: AI for business leaders – how executives use AI to lead change and drive ROI Generative AI tools – practical, easy-to-implement solutions for teams AI automation in business – streamline operations without massive tech budgets <b

Using AI at Work: AI in the Workplace & Generative AI for Business Leaders is a business podcast hosted by Chris Daigle, with 117 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Chris Daigle hosts Using AI at Work: AI in the Workplace & Generative AI for Business Leaders, a business show with 117 episodes published.

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

  116: AI Strategy for Business: How to Turn AI Into Practical Business Results with Eddie Irvin

  Aug 10, 202651 min

  Send us Fan Mail 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 (02:56) Bridging the Gap Between Business and Technology (09:13) Where AI Transformation Actually Starts (11:24) Why Process Design Comes Before AI (18:54) Finding and Prioritizing the Right Business Problems (22:28) What a Good First AI Project Looks Like (27:45) Why Clear Processes Make AI Implementation Easier (32:49) What CEOs Should Never Delegate to AI Developers (35:52) Better AI Results Start With Better Context (48:06) Why Leaders Need Hands-On Experience With AI Find Out More About Eddie Irvin Eddie Irvin on LinkedIn: https://www.linkedin.com/in/eddie-irvin Nashville AI Advisory: https://nashvilleaiadvisory.com AI Tools and Resources Mentioned: ChatGPT: https://chatgpt.com/ ChatGPT Desktop: https://chatgpt.com/download/ Codex: https://openai.com/codex/ Claude: https://claude.ai/ Claude Fable 5: https://www.anthropic.com/claude/fable Claude Code: https://www.anthropic.com/product/claude-code GPT-5: https://openai.com/gpt-5 Support the show

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

  115: Rethinking AI Governance for Enterprise Adoption with Dr. Markus Schmidberger

  Aug 3, 202649 min

  Send us Fan Mail 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. Chapters (00:00) Introduction (03:20) Defining the Chief AI Officer Debate (06:37) The Emerging AI Business Gap (09:35) AI Adoption as Cultural Enablement (12:42) Governance and Open AI Access (15:31) Distributing AI Ownership Across the Business (18:20) The In-Residence AI Enablement Model (21:01) Moving from Use Case Discovery to Production (25:45) Measuring AI ROI Through Agent Outcomes (31:38) When AI Adoption Becomes a Strategic Distraction (39:11) JuntoAI and the Future of Business Networking (46:21) A Final Lesson on AI as a Statistical Model Find Out More About Dr. Markus Schmidberger Dr. Markus Schmidberger on LinkedIn https://www.linkedin.com/in/schmidberger/ JuntoAI on LinkedIn https://www.linkedin.com/company/juntoa JuntoAI https://juntoai.org/ AI Tools and Resources Mentioned: JuntoAI https://juntoai.org/ ChatGPT https://chatgpt.com/ Claude https://claude.com/ Gemini https://gemini.google.com/ Google AI Studio https://aistudio.google.com/ Claude Code https://claude.com/product/claude-code OpenAI https://openai.com/

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

  114: Using AI Implementation Strategies To Drive Real Business Impact with Darren Ward

  Jul 27, 202657 min

  Send us Fan Mail 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 02:05 Darren Ward’s Path From Operator to AI Leader 08:04 Why AI Needs Executive Ownership 11:34 Replacing Push Training With Power User Adoption 19:32 Finding Measurable AI Use Cases 25:24 Turning an Engineering Skeptic Into a Champion 29:06 Connecting AI Pilots to Strategic Objectives 31:12 Measuring Usage and Preventing Shadow AI 34:18 What to Do After Buying AI Licenses 37:50 Designing a Three-Tier AI Tool Stack 41:22 Private LLMs, RAG, and Internal Data 51:59 Start Small, Start Now Resources: Find Out More About Darren Ward Darren Ward on LinkedIn: https://www.linkedin.com/in/jdarrenward AI Tools and Resources Mentioned: ChatGPT: https://chatgpt.com/ Google Gemini: https://gemini.google.com/ Claude: https://claude.ai/ Claude Code: https://www.anthropic.com/product/claude-code Microsoft Copilot: https://www.microsoft.com/en-us/microsoft-copilot OpenAI API: https://platform.openai.com/docs/ Anthropic API: https://docs.anthropic.com/ Gemini API: https://ai.google.dev/gemini-api/docs/

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  Episode #113

  113: Using AI Agents for Business: From Chatbots to Autonomous Workflows with Bryan McAnulty

  Jul 20, 202652 minS1

  Send us Fan Mail 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 02:11 Meet Brian McAnulty: From Creator Platforms to AI Agents 06:36 New Chat vs. New Task: A Fundamental Shift in AI 12:08 Three Ways to Work with AI Agents 17:23 How AI Agents Actually Work Behind the Scenes 24:16 Security & Guardrails: Keeping AI Agents Safe 29:51 Will AI Agents Replace Jobs? A Better Question to Ask 33:30 Owning Your Processes: Why It Matters in the AI Era 38:06 What Is an Agent Harness? Explained 39:38 How Soon Is Too Soon to Deploy AI Agents? 43:24 Closing the Implementation Gap: Getting Started with Agents Find Out More About Bryan McAnulty Bryan McAnulty on LinkedIn: https://www.linkedin.com/in/bryanmcanulty LatchLoop: https://www.latchloop.com/ Heights Platform: https://www.heightsplatform.com/ The Creator’s Adventure Podcast: https://www.heightsplatform.com/the-creators-adventure AI Tools and Resources Mentioned: ChatGPT: https://chatgpt.com/ ChatGPT Work: https://help.openai.com/en/articles/20001275/ OpenAI Codex: https://openai.com/codex/ OpenAI GPT-5.6: https://help.openai.com/en/articles/20001354-gpt-56-in-chatgpt Claude: https://claude.ai/ Claude Code: https://www.anthropic.com/product/claude-code Claude Cowork: https://www.anthropic.com/product/claude-cowork Claude Tag: https://www.anthropic.com/news/introducing-claude-tag Google Gemini: https://gemini.google.com/ OpenClaw: https://openclaw.ai/ Hermes Agent: https://hermes-agent.nousresearch.com/ Model Context Protocol: https://modelcontextprotocol.io/ GitHub: https://github.com/

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

  111: Using AI in the Workplace for Smarter Hiring and Pay Decisions with Cary Sparrow

  Jul 6, 202657 min

  Send us Fan Mail 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. Chapters: (00:00) Introduction (03:50) From Submarine Officer to WageScape Founder (07:56) Why Traditional Labor Market Data Falls Short (11:38) Building a Global Labor Market Data Engine (14:53) How WageScape Uses Claude, Gemini, and ChatGPT (17:37) Better Pay Decisions With Local Talent Intelligence (21:02) What Pay Transparency Really Means (25:57) AI Literacy Is Showing Up in Job Descriptions (30:55) What Hiring Teams Really Mean by AI Literacy (36:17) Where AI Creates Growth and Workforce Risk (43:07) Why Executives Need Strategic AI Fluency (49:38) Career Advice for Executives and Staff Leaders Resources: 🔎 Find Out More About Cary Sparrow: Cary Sparrow LinkedIn https://www.linkedin.com/in/carysparrow WageScape https://wagescape.com WageScape LinkedIn https://www.linkedin.com/company/wagescape-1 🛠 AI Tools and Resources Mentioned: WageScape https://wagescape.com/ ( WageScape ) Claude https://claude.com/ ( Claude ) Anthropic https://www.anthropic.com/ ChatGPT https://chatgpt.com/ OpenAI https://openai.com Google Gemini https://gemini.google.com Bureau of Labor Statistics https://www.bls.gov/

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