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

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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.

Chapters:

00:00 Introduction
01:05 Meet Karl Simon and Subatomic
04:59 From Hierarchy to Intelligence Layers
07:58 Why Unified Data Changes Everything
11:10 What Companies Get Wrong with AI Adoption
13:06 Integration vs Workflow Orchestration
16:40 What AI Workflow Orchestration Looks Like
19:42 Building a Unified Data Layer
25:00 Where AI Delivers the Fastest ROI
30:47 Security and Compliance by Design
33:08 What are AI Coworkers
35:00 Managing Teams with AI Coworkers

Resources:

🔎 Find Out More About Karl Simon

Karl Simon LinkedIn
https://www.linkedin.com/in/karlsimon

Subatomic Website
https://getsubatomic.ai/

Subatomic LinkedIn
https://www.linkedin.com/company/subatomicai

Subatomic YouTube
https://www.youtube.com/channel/UCvluGpd82E00q-s-wXBx4FQ

🛠 AI Tools and Resources Mentioned:

Subatomic 
https://getsubatomic.ai

ChatGPT
https://chatgpt.com

Microsoft Copilot
https://copilot.microsoft.com

Block
https://block.xyz

Sequoia Capital
https://www.sequoiacap.com

Nate B. Jones YouTube
https://www.youtube.com/@NateBJones

Vistage 
https://www.vistage.com

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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
01:16 Why Factory Floor AI Is Different From Knowledge Work AI
03:58 The Four Types of AI Used in Manufacturing Today
05:50 Why Generative AI Fails in High Risk Operational Environments
10:56 Manufacturing Risks Also Apply to Construction and Life Sciences
11:36 The Workforce Crisis Driving Industrial AI Adoption
15:26 Why Manufacturing Careers May Be Safer Than White Collar Jobs
20:42 Why Humanoid Robots Are Not the Future of Manufacturing
24:53 Capturing Tribal Knowledge Before Experts Retire
40:00 Who Should Own AI Inside Manufacturing Organizations
43:24 Meta’s Cicero Project and the Future of Hybrid AI Systems
47:08 Deterministic AI vs Probabilistic AI in Critical Industries
49:27 Where to Follow Brian De Bois and Learn More About Industrial AI

Resources:

🔎 Find Out More About Bryan DeBois

Bryan DeBois on LinkedIn:
https://www.linkedin.com/in/bryan-debois

RoviSys Industrial AI: 
https://www.rovisys.com/ai

RoviSys:
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/cicero

Google DeepMind AlphaGo:
https://deepmind.google/research/breakthroughs/alphago

Microsoft HoloLens:
https://www.microsoft.com/hololens

Obsidian:
https://obsidian.md

SAP:
https://www.sap.com

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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.

Chapters:

00:00 Introduction
00:00 Meet Melissa Reeve and the Hyperadaptive Model
00:00 Why Legacy Operating Models Limit AI Results
00:00 Moving Beyond Automation Thinking
00:00 The Shift to AI-Native Organizations
00:00 Redesigning Roles, Teams, and Workflows
00:00 Building a Human-Centered AI Transformation Strategy
00:00 Creating Continuous Learning Systems
00:00 How Leaders Scale AI Adoption Across the Business
00:00 What the Future Organization Looks Like

🔎 Find Out More About Melissa Reeve

Melissa Reeve LinkedIn 
https://www.linkedin.com/in/melissamreeve

Hyperadaptive Solutions
http://hyperadaptive.solutions
Book Waitlist
https://hyperadaptive.solutions/book

Blueprint Session
https://hyperadaptive.solutions/why-us#contactForm

🛠 AI Tools and Resources Mentioned:

AI Integration Guide
http://hyperadaptive.solutions

AI Learning Flywheel Ebook
http://hyperadaptive.solutions/flywheel-ebook

Applied AI Workshop 
http://hyperadaptive.solutions/labs

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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.

Chapters:

00:00 Introduction
00:45 Why Mid-Market Companies Struggle with Tech Spend
02:10 The Problem with Traditional Project Pricing
04:05 A Fixed Fee Model for Software Development
06:20 Reducing Operational Risk Through Predictability
08:00 Modernizing Legacy Applications
10:15 Building Web, Mobile, and Middleware Solutions
12:05 Where AI Assistants Fit Into Business Operations
14:10 Driving Retention Through Better Delivery Models
16:00 Leadership Lessons for Scaling Technology Investments

🔎 Find Out More About Matt Strippelhoff

Matt Strippelhoff LinkedIn
https://www.linkedin.com/in/redhawktech/ 

Red Hawk Technologies
https://www.redhawk-tech.com/

🛠 AI Tools and Resources Mentioned:

Claude
https://claude.ai

ChatGPT
https://chat.openai.com

Google Firebase Studio
https://firebase.google.com/

Gemini
https://gemini.google.com/

Cursor
https://cursor.com/

Salesforce
https://www.salesforce.com/

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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.

Chapters

00:00 Introduction
02:05 Chris Introduces Evan J Schwartz
03:40 Person Plus AI vs Doom and Gloom Narratives
08:30 Which Industries AI Will Disrupt First
09:23 Mentoring Global Students Solving Real Problems with AI
11:12 How AI Could Reduce Food Waste at Scale
18:30 What Colleges Are Getting Wrong About AI
23:38 Why Companies That Wait Will Fall Behind
31:19 The Rise of the Steward Role in Business
41:30 Use AI for Growth, Not Headcount Cuts

🔎 Find Out More About Evan J Schwartz

Evan J Schwartz LinkedIn
https://www.linkedin.com/in/evan-schwartz-live

AMCS Group
https://www.amcsgroup.com

🛠 AI Tools and Resources Mentioned:

ChatGPT 
https://chat.openai.com

Anthropic Claude
https://www.anthropic.com/claude

Docker
https://www.docker.com

SAP
 https://www.sap.com

Chief AI Officer 
https://chiefaiofficer.com

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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.

Chapters:

00:00:00 Introduction
00:00:36 Why Trust and Context Are Critical for AI Agents
00:01:00 Context vs Prompts: What Actually Matters
00:03:48 Single Player vs Multiplayer AI in Business
00:06:30 Why Context Unlocks Enterprise-Level AI Value
00:08:28 What “Context” Really Means in AI Systems
00:11:34 Building Context-Rich AI Use Cases (Sales Example)
00:13:42 Static vs Dynamic Context Explained
00:20:12 Why Context Engineering Replaces Prompt Engineering
00:24:04 From Human-in-the-Loop to Autonomous AI Systems
00:27:29 The Context Gap and Operational Inefficiency
00:36:01 Why Change Management Is the Real Bottleneck
00:42:03 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.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

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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.

Chapters:

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

🔎 Find Out More About Etan Polinger

LinkedIn: 

https://www.linkedin.com/in/etan-polinger 

🛠 AI Tools and Resources Mentioned

AI Agents + Automation Certification

https://www.CAIO.cx/agent

ChatGPT (OpenAI)
https://chat.openai.com

Claude (Anthropic)
https://claude.ai

OpenAI
https://openai.com

Cursor (AI Code Editor)
https://cursor.sh

Lovable (AI App Builder)
https://lovable.dev

OpenClaw (AI Agent Framework)
https://github.com/openclaw/openclaw

N8N (Workflow Automation)
https://n8n.io

Salesforce
https://www.salesforce.com

Notion
https://www.notion.so

Perplexity AI
https://www.perplexity.ai

Context7 (Code + Documentation Tool)
https://context7.com

Chief AI Officer Program
https://chiefaiofficer.com

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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.

Chapters:

00:00 Introduction
01:00 Where Voice AI Delivers Immediate Value
02:29 Introducing Abby’s AI + Human Strategy
04:21 The Limits of AI in Real Customer Interactions
06:52 Best Use Cases: AI Scheduling vs Human Sales Calls
08:30 Why AI Adoption Is Increasing Human Headcount
11:04 Lessons from Failed “AI-Only” Customer Service Experiments
15:23 Where AI Is Safe vs Risky in Phone Workflows
17:31 Why Transparency About AI Improves Customer Trust
23:06 The Future of Offshore, AI, and Voice Technology
27:29 AI as a System Redesign Tool, Not Just Cost Reduction
29:56 Managing Employee Fear During AI Adoption
32:57 Selling Outcomes Instead of AI Products
35:18 How to Evaluate AI Vendors in Customer Experience

🔎 Find Out More About Nathan Strum

Abby Connect Website
https://www.abbey.com

LinkedIn
https://www.linkedin.com/in/nathanstrum

https://www.linkedin.com/company/abby-connect/

Facebook https://www.facebook.com/abbyconnect/

X: https://x.com/abbyconnect

Website: https://www.abby.com/

🛠 AI Tools and Resources Mentioned

OpenAI
https://openai.com

Anthropic
https://www.anthropic.com

Google Gemini
https://gemini.google.com

ElevenLabs
https://elevenlabs.io

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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.

Chapters:

00:00 Introduction
00:14 Where Companies Are Today in Their AI Journey
00:49 The Future: AI, Robotics, and What’s Next
01:30 Why AI Strategy Matters for Business Leaders
02:38 Common Challenges: Risk, Use Cases, and Leadership Gaps
05:06 Building an AI Adoption Playbook
06:23 From Buying Licenses to Lacking Direction
10:00 What Executives Need to Understand About AI
13:01 The Shift from Productivity Tools to AI Agents
17:47 How Long It Takes to See Real Results
19:25 Measuring ROI and Tracking AI Value
22:12 Real Example: AI Improving RFP Win Rates
30:12 Change Management and Driving Adoption
31:16 Training, Governance, and Building AI Culture
40:12 Managing Risk While Enabling Innovation
45:04 What’s Next: AI + Robotics Convergence

🔎 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
https://www.microsoft.com/en-us/microsoft-365/copilot

Microsoft Defender for Cloud Apps
https://learn.microsoft.com/en-us/defender-cloud-apps/what-is-defender-for-cloud-apps

Microsoft Purview (Data Loss Prevention & Information Protection)
https://learn.microsoft.com/en-us/purview/

Azure OpenAI Service
https://azure.microsoft.com/en-us/products/ai-services/openai-service

OpenAI / ChatGPT
https://chat.openai.com

Claude (Anthropic)
https://www.anthropic.com/claude

Cursor (AI coding assistant)
https://www.cursor.sh

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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
00:45 Introducing Jesse Jameson and the Rise of AI Voice Technology
03:15 From Early Internet Marketing to the Age of AI
04:22 Joining the ElevenLabs Voice Actors Program
06:13 Discovering Discrepancies in Voice Usage and Payments
08:29 The Consent Problem and Hidden Licensing Terms
10:31 Regulatory Questions and Biometric Data Laws
12:15 The Hidden Risks of Using Generative AI Tools
17:21 Bias, Control, and the Influence of AI Models
26:23 Investigating Platform Abuse and Free Voice Usage
36:29 Documenting the Experience and Reporting to Regulators
44:06 Practical Advice for Leaders Using New AI Tools

🔎 Find Out More About Jesse Jameson

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

🛠 AI Tools and Platforms Mentioned

ElevenLabs:

https://elevenlabs.io/ 

OpenAI:

https://openai.com/ 

Anthropic:

https://www.anthropic.com 

LLaMA:

https://www.llama.com 

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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
03:23 The Origin of the “Trust AI” Question
05:14 The Trust Framework: Predictability vs Cost of Error
07:01 Crossing the Automation Frontier
09:07 The Three Barriers Holding Leaders Back from AI
11:51 Why 95% of AI Projects Fail
14:39 How Leaders Should Choose Their First AI Projects
19:17 Fear vs Greed in Today’s AI Adoption
25:20 Why Leaders Should “Think Slowly” About AI Strategy
44:16 The Bifurcation of Humanity in the Age of AI

🔎 Find Out More About Vasant Dhar

Website:

https://vasantdhar.com 

Book: Thinking with Machines: The Brave New World of AI

Podcast: Brave New World

Substack Newsletter:
https://vasantdhar.substack.com

🛠 AI Tools and Resources Mentioned

ChatGPT
https://chat.openai.com

Claude
https://claude.ai

Grok
https://x.ai

Chief AI Officer (Sponsor)
https://chiefaiofficer.com

Using AI at Work
https://usingaiatwork.com

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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)
https://chat.openai.com

Claude (Anthropic)
https://claude.ai

Gemini (Google)
https://gemini.google.com

Grok (xAI)
https://x.ai

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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
Website: https://www.adskills.com

🛠 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

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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
LinkedIn: https://www.linkedin.com/in/jason-eubanks-a775ba

🌐 Learn More About Aurasell AI
https://aurasell.ai

🛠 AI Tools and Resources Mentioned

Aurasell GTM Operating System
https://www.aurasell.ai

Chat Gpt https://chatgpt.com/ 

Salesforce
https://www.salesforce.com/ 

HubSpot

https://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

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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.

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 Lardiez

Hernan Lardiez on LinkedIn
https://www.linkedin.com/in/hlardiez/

RagMetrics
https://ragmetrics.ai/

🛠 AI Tools and Resources Mentioned

RagMetrics - https://ragmetrics.ai
The AI Exchange (Rachel Woods) - https://www.theaiexchange.com/
Chief AI Officer -  https://www.chiefaiofficer.com/

📌 Chapters

00:00 Why regulated industries can’t “hope” with AI
02:04 What model evaluations (evals) actually are
05:08 The two audiences: business owner vs builders
08:52 Pre-production testing vs in-production monitoring
14:23 Why “monitoring is required” to reduce risk
16:14 Manual spreadsheet grading vs automated evals
18:01 Building test datasets + injecting through the pipeline
31:21 Measuring accuracy AND token consumption (cost)
34:01 Continuous evals to catch drift over time
42:11 RAG tuning: Top-K chunks, accuracy vs noise, token savings
49:21 Evals as “low-cost insurance” for production AI
50:27 Closing advice: control points + IT boundaries

In 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.

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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.

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 Gallagher

https://www.linkedin.com/in/billgall/

🛠 AI Tools and Resources Mentioned

ChatGPT
Internal AI tools within organizations

📌 Chapters

00:00 Introduction to Bill Gallagher
04:12 Leadership challenges during AI driven change
10:08 Why trust matters more than technology
17:26 How leaders should talk about AI internally
23:41 Avoiding fear and resistance during AI adoption
30:05 The human role in AI driven organizations
37:18 Leading with clarity in times of uncertainty
43:02 Final thoughts on leadership and AI
48:10 How to connect with Bill Gallagher

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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
https://www.linkedin.com/in/katebravery

Mercer
https://www.mercer.com

🛠 AI Tools and Resources Mentioned

ChatGPT
https://openai.com/chatgpt

Internal AI systems used for workforce analytics and decision support

📌 Chapters

00:00 Introduction to Kate Bravery
03:42 How AI is changing people strategy
09:15 Using AI for workforce planning and skills insights
15:28 Balancing human judgment with AI recommendations
21:10 Building trust and confidence in AI systems
27:44 Ethical considerations in workplace AI
34:02 Leadership responsibility in AI adoption
40:18 What executives should focus on next
45:56 How to connect with Kate Bravery

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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
https://www.linkedin.com/in/chrisdaigle

Chief AI Officer
https://chiefaiofficer.com

🛠 AI Tools and Resources Mentioned

Fathom
https://chiefaiofficer.com/fathom

Perplexity
https://www.perplexity.ai

Comet Browser by Perplexity

NotebookLM
https://notebooklm.google

Gamma
 https://chiefaiofficer.com/gamma

Nano Banana image generation inside Google Gemini

ChatGPT
 https://openai.com/chatgpt

📌 Chapters

00:00 Why this episode is different
01:14 The problem with AI tool overload
02:10 What “thinking in AI” really means
03:22 From discrete AI use to an AI reflex
04:28 Sharing AI wins to build culture
05:35 AI governance and cultural readiness

06:18 Will AI replace jobs
07:15 Tasks, projects, and job-level work
08:42 What AI can realistically automate today
10:02 Economic impact of AI on knowledge work
11:48 Why meeting transcription builds business context
12:57 Using Fathom as an AI meeting assistant
13:45 Replacing Google with Perplexity
14:58 Agentic browsing with the Comet browser
15:42 NotebookLM as a learning environment
16:36 Creating executive decks with Gamma
17:18 Image generation with Nano Banana
18:02 Why community matters for AI adoption
19:22 Final advice for leaders getting started

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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.

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 LearnWorlds

Panos Siozos on LinkedIn
https://www.linkedin.com/in/siozos/
LearnWorlds
https://www.learnworlds.com

🛠 AI Tools and Resources Mentioned

ChatGPT
https://openai.com/chatgpt

📌 Chapters

00:00 Introduction to Panos Siozos
02:12 Panos’ background in learning and education technology
05:18 Why learning is not disappearing in the AI era
08:44 Knowledge vs real understanding
12:06 The risk of cognitive laziness with AI
16:22 Why struggle and friction matter in learning
20:35 How AI changes authority and credibility
25:11 Turning expertise into meaningful learning experiences
29:54 Using AI to support, not replace, human learning
35:18 Building premium learning products in the AI age
41:02 Final advice for professionals learning with AI

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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
https://www.linkedin.com/in/timcakir/

AI Operator
 https://aioperator.com

🛠 AI Tools and Resources Mentioned

ChatGPT — https://chat.openai.com
Google Gemini — https://deepmind.google/technologies/gemini/
Google AI Studio — https://aistudio.google.com
Claude — https://claude.ai
NotebookLM — https://notebooklm.google
ElevenLabs — https://elevenlabs.io
Vapi — https://vapi.ai
Make — https://www.make.com
Zapier — https://zapier.com
n8n — https://n8n.io
Notion — https://www.notion.so
MCP (Model Context Protocol) — https://modelcontextprotocol.io
Custom GPTs — https://chat.openai.com/gpts
AI Operator — https://www.aioperator.com

Internal AI assistants used inside organizations

📌 Chapters

00:00 Introduction to Tim Cakir
02:18 Why leaders feel overwhelmed by AI
05:06 Tool overload vs outcome driven adoption
08:44 Human plus AI collaboration mindset
13:02 Reducing fear around AI at work
17:36 Training teams based on real workflows
22:41 Behavior change vs policy driven adoption
27:15 Using voice AI to reclaim time and focus
31:48 How leaders should evaluate new AI tools
36:05 Where AI Operator helps organizations start
40:12 How to connect with Tim Cakir

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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/ 
 Smart Workforce AI
 https://smartworkforce.io

🛠 AI Tools and Resources Mentioned

ChatGPT
 https://openai.com/chatgpt

AI powered workforce forecasting models
 Large language models for scheduling and planning
 Internal AI copilots for workforce management

📌 Chapters

00:00 Introduction to Mohamed Yousuf
01:10 From Airline Scheduling to Workforce AI
03:55 Why Workforce Planning Is a Universal Business Problem
05:21 Using AI to Complement Human Decision Making
06:54 Healthcare staffing and burnout challenges
09:16 Forecasting demand using demographic and immigration data
11:23 Hospitality, events, and seasonal workforce planning
12:48 Avoiding panic hiring and panic firing
14:32 Measuring labor cost savings and productivity gains
17:53 Making AI powered scheduling accessible to smaller teams
21:17 Onboarding and system learning timelines
22:56 Handling labor laws and contract complexity with AI
25:19 AI assistants for managers and employees
27:15 Giving employees more control over schedules
29:52 Minimum team size to benefit from AI scheduling
33:16 The future of micro shifts and flexible work
35:29 Pricing and ROI for small and mid sized businesses
39:34 How to get started with Smart Workforce AI

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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

Internal AI assistants used by marketing and revenue teams

📌 Chapters

00:00 - Introduction to Patrick Leung
04:12 - Where AI Fits Inside Marketing and Revenue Teams
10:36 - Practical AI Use Cases for Execution
17:48 - Supporting Non Technical Teams with AI
24:15 - Avoiding Tool Overload and Overengineering
31:02 - Using AI to Improve Consistency and Speed
38:20 - Moving from Experiments to Scaled Workflows
45:10 - Final Advice for Leaders Adopting AI
48:55 - How to Connect with Patrick Leung

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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
https://www.linkedin.com/in/zak-ali44/ 

Substack
 https://thoughtson.substack.com

Finder
 https://www.finder.com

🛠 AI Tools and Resources Mentioned

ChatGPT
 https://openai.com/chatgpt

Claude
 https://claude.ai

Perplexity
 https://www.perplexity.ai

Notebook LM
 https://notebooklm.google

📌 Chapters

00:00 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

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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.

Geoff’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

00:00 Introduction
01:10 Geoff’s background in strategy, innovation, and AI transformation
04:20 Why most AI pilots fail
06:00 Automating broken workflows vs reinventing them
07:40 Marketing to agents vs marketing to humans
09:20 Reinventing work with agents and human AI workflows
12:30 How to integrate humans into agent-driven systems
14:10 Working with process owners inside companies
17:00 Are people afraid AI will take their job
20:00 Individual overwhelm and the pace of change
22:30 The skill variation inside large companies
24:00 How enterprise understanding has changed in the past year
25:30 How companies differentiate when everyone has the same tools
26:30 Designing human AI collaboration inside orgs
27:40 Shifting from "AI as a tool" to "AI as a collaborator"
29:00 How individuals future-proof their skills
31:00 Why prompt engineering is already outdated
32:20 Talking to AI like a collaborator
33:30 How careers may shift as roles evolve
37:20 Advice for non-technical business professionals
38:40 About the book
39:30 Closing Thoughts

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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.

🔎 About Michael Stelzner

Michael 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 Listeners

Michael 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 Stelzner

LinkedIn
https://www.linkedin.com/in/stelzner/ 

Social Media Examiner
 https://www.socialmediaexaminer.com

Social Media Marketing Podcast
 https://www.socialmediaexaminer.com/shows/

🛠 AI Tools and Resources Mentioned

ChatGPT
 https://openai.com/chatgpt

Notion AI
 https://www.notion.so/product/ai

Descript
 https://www.descript.com

Chief AI Officer Resources
 https://chiefaiofficer.com

📌 Chapters

00:00 – 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

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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
https://www.linkedin.com/in/etan-polinger/

🛠 AI Tools and Resources Mentioned

ChatGPT
 https://openai.com/chatgpt

Jasper AI
 https://www.jasper.ai

Surfer SEO
 https://surferseo.com

Chief AI Officer Resources
 https://chiefaiofficer.com

📌 Chapters

00:00 – Introduction to Etan Polinger
03:15 – How AI is Changing Marketing Strategy
07:42 – Designing AI Systems that Support Teams
12:30 – AI Content and Brand Consistency
17:08 – Balancing Automation with Human Creativity
21:55 – Building AI Workflows for Customer Experience
26:14 – Measuring ROI from AI Experiments
31:27 – AI Tools for Marketers and Small Businesses
37:10 – Future of Marketing and AI Leadership
41:45 – How to Connect with Etan Polinger

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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
https://www.linkedin.com/in/peter-cappelli-14936a3/

Book by Peter Cappelli
https://www.pennpress.org/9781613631911/the-future-of-the-office-with-a-new-afterword-by-the-author/

🛠 AI Tools and Resources Mentioned

ChatGPT
https://openai.com/chatgpt

Chief AI Officer Resources
https://chiefaiofficer.com

📌 Chapters

00:00 – Introduction to Peter Cappelli
02:35 – How AI is Reshaping Hiring and Training
07:45 – Separating AI Hype from Workplace Reality
12:20 – Why Prediction Still Needs Human Judgment
17:15 – Redefining Workforce Planning in the AI Age
23:42 – What Executives Get Wrong About Automation
29:30 – Reskilling and Internal Mobility for the Future of Work
35:05 – AI Governance and Trust Inside Organizations
40:18 – Balancing Efficiency with Human Value
44:12 – Advice for Leaders Adopting AI Responsibly
48:20 – How to Connect with Peter Cappelli

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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.

Website
https://www.chrisduffy.ai

LinkedIn
https://www.linkedin.com/in/chrisfduffy/

ChatGPT
https://openai.com/chatgpt

Perplexity
https://www.perplexity.ai

Chief AI Officer Resources
https://chiefaiofficer.com

00:00 – Introduction to Chris Duffy
02:10 – Why AI Transformation Starts With People
05:20 – Finding Real Bottlenecks vs Tool Chasing
09:44 – How to Build AI Policies That Work
14:35 – Shadow AI and Trust in the Workplace
18:50 – Leadership Alignment and AI Priorities
23:12 – The Role of a Fractional Chief AI Officer
27:40 – Listening Before Building: Discovery First
31:25 – Turning Problems Into Measurable ROI
36:58 – Helping Teams Use AI Safely and Effectively
41:10 – Where to Start With Responsible AI Adoption
45:55 – How to Connect with Chris Duffy

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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
 https://nobledigital.com

🛠 AI Tools and Resources Mentioned

ChatGPT ➡ https://openai.com/chatgpt

Claude ➡ https://claude.ai

ChiefAIOfficer Resources ➡ https://chiefaiofficer.com

📌 Chapters

00:00 – Intro to Allen Martinez
03:12 – How AI is Transforming Creative Strategy
08:24 – Human Intuition vs Machine Intelligence
14:17 – Data-Driven Storytelling with AI
19:45 – The Creative Process in an AI World
25:03 – Building AI-Powered Marketing Frameworks
31:42 – Balancing Speed and Quality in Content Creation
38:18 – Scaling Brand Impact with Automation and Insight
44:29 – How to Get Started Integrating AI into Creative Workflows
50:12 – Connect with Allen Martinez and Learn More

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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.

🔎 Connect with Kristin Ginn

https://www.trnsfrmaitn.com/

Follow Kristin Ginn on LinkedIn
https://www.linkedin.com/in/ginnkristin/

🛠 AI Tools and Resources Mentioned

ChatGPT
https://openai.com/chatgpt

Microsoft Copilot
https://www.microsoft.com/en-us/microsoft-copilot

Claude
https://claude.ai

Internal AI Assistants
(Company specific and not publicly linked)

📌 Chapters

00:00 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

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Chris 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 Episode

• ChatGPT ➡ https://openai.com/chatgpt
• Perplexity ➡ https://www.perplexity.ai
• Notebook LM ➡ https://workspace.google.com
• Chief AI Officer Resources ➡ https://chiefaiofficer.com

📌 Chapters

00:00 – 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

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Chris 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 Duron
Instagram: Marketing Coach Maria ➡ https://www.instagram.com/marketingcoachmaria
Website: SmartBrandSystem.com ➡ https://smartbrandsystem.com

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT ➡ https://openai.com/chatgpt
Notebook 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

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Chris 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” trap

Key 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 Curry
BuildGroup ➡ https://www.buildgroup.com
LinkedIn ➡ https://www.linkedin.com/in/jimncurry/

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT ➡ 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

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Chris 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 Clay
https://bruceclay.com
Prewriter.ai - https://www.prewriter.ai
http://seotraining.com

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT ➡ https://openai.com/chatgpt
Prewriter.ai ➡ https://prewriter.ai

📌 Chapters
00:00 - Introduction to Bruce Clay
05:15 - SEO in the age of AI
12:48 - Why Google AI Overviews still rely on SEO signals
19:37 - Detecting AI-generated content footprints
26:10 - Why unedited AI content risks lower rankings
33:42 - Using AI as a research assistant, not a writer
41:18 - Prewriter.ai and optimizing AI content
48:05 - Google vs Perplexity and the future of search
55:20 - How to connect with Bruce Clay

Episode 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

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Chris 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 insights

Key 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 Provalytics

Jeff Greenfield on LinkedIn - https://www.linkedin.com/in/jeffgreenfield/
Provalytics - https://provalytics.com/

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT - 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

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Chris 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 Toilville
Peter Swimm on LinkedIn - https://www.linkedin.com/in/peterswimm 
Toilville - https://www.itstoilville.com/ 

🛠 AI Tools and Resources Mentioned in This Episode
Claude by Anthropic - https://claude.ai/ 
ChatGPT - https://openai.com/chatgpt 
Notion - https://www.notion.com/ 

📌 Chapters
00:00 - Introduction to Peter Swimm
02:05 - From Microsoft to Building Toilville
03:42 - What Conversational AI Really Means
09:11 - Why Apps as We Know Them Are Dying
12:23 - Running a Business with Voice-Only AI
14:45 - Regaining Control of Notifications and Workflow
17:13 - Building Custom Tools with Claude
23:04 - The Case for Open Sharing and Local Models
26:09 - Reimagining Workflows Beyond SaaS
34:12 - Running Lean Teams with AI
36:21 - Rethinking Work Paradigms and Productivity
42:21 - The Future of Apps and Personal Data Control
44:27 - How to Connect with Peter Swimm

Episode 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

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Chris 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 Vanhaverbeke
The House of Coaching
Being Replaced on Amazon

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT
ChiefAIOfficer Resources

📌 Chapters
00:00 - Introduction
01:43 - Meet Steff Vanhaverbeke
03:10 - Inside the Book: 'Being Replaced'
05:00 - The Five Human Skills AI Can’t Replace
08:00 - Emotional Intelligence and the Limits of AI Empathy
13:40 - Collaborative Intelligence and the Tomorrowland Example
20:22 - Intuition and Human Decision-Making in Business
23:00 - Innovation as a Differentiator in an AI World
26:00 - Making These Skills Actionable at Work
30:00 - How Human-Centric Companies Will Stand Out
38:00 - The Super Worker Model
44:15 - 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

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Chris 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 & Resources
About Jay Feldman (LeadGenJay):
Website: https://leadgenjay.com
YouTube: https://www.youtube.com/@leadgenjay
Instagram: https://instagram.com/leadgen

AI Tools & Platforms Mentioned:
N8n
Make.com
Zapier
Clay
Handwrytten
GPT, 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 AI
Omnichannel automation frameworks for scaling outreach
Access 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 company

Jay 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

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Chris 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.

🔎 Resources

Learn more about Oren Michaels: Barndoor.ai

Contact Oren directly: oren@barndoor.ai

🛠️ Tools & Frameworks Mentioned

ChatGPT ➡ https://openai.com/chatgpt

Model Context Protocol (MCP) for agent-to-system integration

📌 Chapters

00:00 – Intro to Oren Michaels and Barn Door AI
02:20 – From APIs to AI agents: lessons from enterprise adoption
06:46 – Defining an AI agent vs. ChatGPT and automation
13:25 – Why agents lack conscience and what that means for business
18:10 – Governance frameworks for AI agents
22:58 – Risks and opportunities of the Model Context Protocol (MCP)
27:19 – Who inside companies is owning AI governance
33:25 – Enterprise scale vs. mid-market AI adoption
38:36 – Real-world wins in finance, marketing, and contracts
42:53 – The difference between automation, RPA, and agents
46:28 – Shadow AI, unsanctioned MCP, and risk management
50:56 – Where to learn more about Barn Door AI

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

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Chris 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 Learning
https://www.linkedin.com/in/david-martelli-236971a
https://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

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Chris 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

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Chris 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.com
https://www.linkedin.com/in/marketridebbieandrews/

🛠 AI Tools and Resources Mentioned in This Episode:
ChatGPT ➡ https://openai.com/chatgpt
Gemini ➡ https://gemini.google.com
Claude ➡ https://claude.ai
Perplexity ➡ https://www.perplexity.ai
Scrunch AI ➡ https://www.scrunchai.com
Revere AI ➡ https://www.revere.ai
Databox ➡ https://databox.com
SEM Rush ➡ https://www.semrush.com
Click Data ➡ https://www.clickdata.com
Marketing AI Institute ➡ https://www.marketingaiinstitute.com
Ideogram ➡ https://ideogram.ai

Chapters:
00:00 - Introduction to Debra Andrews and Marketri
02:00 - How Clients React to AI in Marketing
04:15 - Starting the AI Journey: Education and Use Cases
07:10 - Early Wins with Content Generation Tools
10:45 - Lessons Learned: How to Do Content Right
13:55 - What Didn’t Work: Images, Analytics, and More
17:00 - New SEO Challenges and AIO Strategy Shifts
21:00 - Tools for Generative Engine Optimization
25:30 - Driving Trust Through Reviews and PR
30:00 - Change Management, Team Buy-In, and Final Advice

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In 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/chatgpt
Zapier ➡ https://zapier.com
Make ➡ https://www.make.com
Lovo ➡ https://www.lovo.ai
Cursor ➡ https://www.cursor.sh
Gemini ➡ https://gemini.google.com
Contently AI ➡ https://contently.com

Chapters:
00:00 - Introduction to Andrew Amann
03:35 - What 14 Startups Taught Him About Building
07:00 - Should You Launch an AI Startup? Maybe Not
10:59 - Turn What You Know Into AI Gold
15:10 - Why Most Companies Are Doing AI Wrong
18:48 - The Future: AI That’s Baked Into Everything
23:35 - Twitter Hacks vs. Real AI Engineering
27:56 - Finding Clients in a Noisy AI Market
32:40 - Pricing AI: It’s Not About Time Spent
37:45 - Getting Teams Excited About AI Again
46:18 - How to Work with Andrew and His Team

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In 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://cxapp.com
khurram@cxapp.com

🛠 AI Tools and Resources Mentioned in This Episode:
CXAI App ➡ https://www.cxapp.com
Google Cloud Platform (GCP) ➡ https://cloud.google.com
Google Translate ➡ https://translate.google.com

Chapters:
00:00 - Introduction to Khurram Sheikh and CXAI
01:19 - From Stanford to Sprint: Building the First 4G Network
02:23 - How the Hybrid Work Shift Inspired CXAI
04:45 - What the CXAI App Actually Does for Employees
06:35 - Real-World Client Example: Warner Bros. in Singapore
08:36 - Automation, AI Integration, and Voice-Driven Experience
13:18 - Designing for Productivity, Engagement, and Personalization
17:40 - Return-To-Office Strategy and the Role of Data
24:17 - The CXAI Kiosk and Smart Office Access
44:12 - CXAI Demo: Booking, Navigation, and Analytics in Action

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In 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.com
Email: sara@growwithflowers.com

🛠 AI Tools and Resources Mentioned in This Episode:
ChatGPT ➡ https://chat.openai.com
ChatGPT for Teams ➡ https://openai.com/teams
Ada ➡ https://www.ada.cx
Timely ➡ https://memory.ai/timely
Trello ➡ https://trello.com
Slack ➡ https://slack.com
Midjourney ➡ https://www.midjourney.com

Chapters:
00:00 - Welcome Back and Introducing Sara Flowers
01:18 - Sara’s Background and Entry into AI
04:03 - From ChatGPT Curiosity to Full Integration
07:01 - Building Bots for Every Client Use Case
10:22 - Automating Customer Service with Ada
15:00 - Measurable Impact and Internal Buy-In
20:18 - Managing Change with AI and Transparency
26:36 - Expanding AI Across All Departments
33:58 - Structuring Teams Around Ongoing AI Growth
41:55 - Hiring, Vetting, and The AI Talent Gap
50:44 - Final Thoughts and Invitation to Connect

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AI 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.com
https://britelite.io

🛠 AI Tools and Resources Mentioned in This Episode:
Sesame ➡ https://sesame.chat
Claude ➡ https://claude.ai
ChatGPT ➡ https://openai.com/chatgpt
Fireflies ➡ https://fireflies.ai

Chapters:
00:00 - Introduction to Claire Bouvier
02:19 - The Rise of AI Agents in Business
05:15 - Using Sesame for Strategic Thinking
08:33 - Voice AI vs. Text-Based AI: When to Use Each
12:07 - The Power of Brain Dumping with AI
18:35 - Why 2025 is the Year of AI Implementation
25:12 - Building Custom AI Agents for Your Business
32:26 - AI as a Thought Partner for Entrepreneurs
40:51 - How AI Can Enhance Human Communication
50:17 - Where to Find Claire and Her Work

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AI 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.com
https://www.linkedin.com/in/jake-george-ai-genie/

🛠 AI Tools and Resources Mentioned in This Episode:
LangChain ➡ https://www.langchain.com
AutoGen ➡ https://microsoft.github.io/autogen/
Relevance AI ➡ https://www.relevanceai.com
OpenAI Assistant API ➡ https://openai.com/research/assistant
Devin AI ➡ https://www.cognition-labs.com

Chapters:
00:00 - Introduction to Jake George
03:22 - Jake’s Journey into AI and Automation
08:15 - What Defines an AI Agent?
12:40 - Differences Between Agents and Automated Workflows
18:05 - How Businesses Can Implement AI Agents Today
24:30 - Common Misconceptions About AI Agents
30:55 - The Role of AI in Decision-Making Processes
36:45 - The Future of AI Agents in 2025
42:10 - Why AI Adoption Requires Process Optimization
49:00 - How to Get Started with AI Agents in Business
53:30 - Closing Thoughts and Jake’s Final Advice

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In 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.com
https://www.linkedin.com/in/mikeallton

🛠 AI Tools and Resources Mentioned in This Episode:
Gemini ➡ https://gemini.google.com
Claude ➡ https://claude.ai
Magai ➡ https://magai.co
Perplexity ➡ https://www.perplexity.ai

Chapters:
00:00 - Introduction to Mike Allton
02:00 - Mike’s Journey into AI and Content Strategy
08:15 - How Businesses Should Approach AI Adoption
14:05 - AI Literacy: The Key to Staying Competitive
20:30 - The Power of AI Copilots for Employees
27:45 - AI Tools That Make the Biggest Impact
34:10 - Using AI to Strategize Business Growth
41:00 - How to Start Speaking on AI in Your Local Community
48:15 - The Future of AI and Key Trends to Watch
55:00 - Final Thoughts and Where to Learn More

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AI 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

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In 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.com
Using AI at Work Free Challenge ➡ https://chiefaiofficer.com/challenge

🛠 AI Tools and Resources Mentioned in This Episode:

ChatGPT ➡ https://openai.com/chatgpt
ElevenLabs ➡ https://elevenlabs.io
Perplexity AI ➡ https://perplexity.ai

Chapters:

00:00 - Introduction to Using AI at Work
01:17 - What Inspired the Chief AI Officer Role?
07:33 - The Exploding Demand for AI Experts
16:17 - AI in Small Teams and Solopreneurs
24:40 - How to Start Thinking Like a Chief AI Officer
31:00 - The Free Challenge for Learning AI at Work
46:17 - Success Stories from AI Certification Graduates
58:01 - Final Insights and How to Get Started

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