AI for Smarter Problem Solving

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About This Podcast Episode: AI for Smarter Problem Solving

AI is reshaping problem solving. But can it follow the methods you trust? 

Join PMI Director Consultant Dennis Crommentuijn-Marsh as he shares an improvement-in-action story where conventional thinking reached its limit, and a custom AI agent opened new possibilities. 

He explains the difference between generic AI tools and tailored agents, how prompt engineering is shaping the future of work, and why this isn’t about replacing expertise, but amplifying it. 

If you’ve ever wondered how AI could support improvement, this episode will show you what’s possible. 

 

Improve, Share, Evolve.

Curious how AI could amplify your improvement approach? At the Goals to Results conference 2026 experts and peers explored exactly that. From custom AI agents to practical methods, this is where theory met real-world application.

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Episode Highlights: AI for Smarter Problem Solving

  • The difference between standard AI tools and tailored AI agents, and why it matters.
  • How AI can follow your method, not just offer generic answers.
  • A practical example of building an AI agent to support TRIZ-based problem solving.
  • What “prompt engineering” means for improvement professionals today.
  • How AI agents can codify and amplify expertise without replacing it.
  • Why managing digital labour may soon become part of every improvement role.
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We know that to develop and sustain a strong continuous improvement culture, you must enable employees at all levels of the organisation to be involved in improvement initiatives.

This, of course, is more than a suggestion box scheme. To participate effectively in improvement projects and their implementation, they’ll need to share a common language and understanding of the process and tools that are being used.

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