Description

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This episode explores how business leaders are actually using AI inside organisations, and why adoption of tools like Microsoft 365 Copilot remains low. Chris shares practical insight from the frontline, covering Copilot strategy, Work IQ, agentic thinking, and how AI now enables teams to build internal tools faster than buying SaaS. The focus is not hype, but how to reimagine business models, reduce cost, and unlock new value with applied AI capability.

🎙️For full Show Notes  
https://www.microsoftinnovationpodcast.com/831 

👉 What you’ll learn     

• Why low Copilot adoption is an opportunity, not a failure 
• How to think beyond productivity to AI-enabled business models 
• When building internal AI tools beats buying SaaS 
• What Work IQ enables that other AI systems cannot 
• How agentic systems change OKRs, dashboards, and execution 

✅ Highlights     

• “AI is transformative, it is expensive, and it requires several years of exposure to capital budgets” 
• “It’s not just about doing things better, but doing things you never could do before” 
• “Microsoft is the largest commercial AI company on the planet” 
• “Copilot can orchestrate over your information in a way that other AI can’t” 
• “Work IQ would be a little bit better than the word graph” 
• “I love the term vibe coding” 
• “It would have been a couple of hundred thousand dollars two years ago” 
• “I’ve taken over two thousand dollars of subscription costs out of my business” 
• “They do exactly what I needed to do and no more” 

🧰 Mentioned     

• Microsoft 365 Copilot: https://www.microsoft.com/microsoft-365-copilot 
• Host - Polaris podcast: https://polaris.synozur.com 
• Co-Host Microsoft’s Intrazone podcast: https://aka.ms/TheIntrazone 
• Microsoft MVP YouTube Series - How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7 

✅ Keywords      
ai adoption, microsoft copilot, work iq, agentic ai, internal tools, ai strategy, okrs, vibe coding, business transformation, saas replacement, applied ai, enterprise ai 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith