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

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

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

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

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: [email protected]

🛠️ 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

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

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

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

🔸 Be sure to download this week's Smartcut: https://smartcuts.io/63
And check out the related prompts at: https://PromptVault.studio

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

🔸 Be sure to download this week's Smartcut: https://smartcuts.io/62
And check out the related prompts at: https://PromptVault.studio

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
[email protected]

🛠 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

🔸 Be sure to download this week's Smartcut: https://smartcuts.io/61
And check out the related prompts at: https://PromptVault.studio