Podcast Deep Dive: AI Strategy and the Operating System Mismatch (with Dave West)
A deep dive into the conversation with Dave West at Scrum.org about the 95% AI failure rate and why organizations must evolve their management operating system.
AI Activity to Impact
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AI Isn’t Failing — Our Operating Systems Are
95% of AI projects fail — not because the models are wrong, but because organizations run high-uncertainty AI work through a project-mode operating system. Here is what changes when you treat AI as product work instead.
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Clemens Adolphs on the Role of Agility in Getting AI Investments Right
AI initiatives die in the proof-of-concept stage when they are run as fixed-scope projects. Clemens Adolphs and I unpack why AI work needs real product discovery, internal market validation, and outcome-based steering instead of a gantt chart with the labels filed off.
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Spraying GenAI Everywhere? Try This First
Why scattering AI initiatives without identifying bottlenecks wastes effort — and how a Theory of Constraints lens helps you aim GenAI at the right problems before you automate.
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From FOMO to JOMO
Adopting AI (or Agile, or OKRs) out of FOMO almost always turns into JOMO — the Joy of Missing Out. A five-question framework for connecting any initiative to your most expensive problems before you commit.
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Developing Your AI Context as a Product
AI context — system prompts, knowledge bases, and tool configurations — is a product to be continuously discovered and improved. Applying product thinking to AI enablement.