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In Practice

Field notes from building and shipping this work inside real companies. 7 posts.

  1. October 1, 2026 · 5 minGive People a Problem, Not a DirectiveAI adoption stalls for a reason most plans never touch: nobody changed how the work gets done. The fix I keep coming back to is simpler than it sounds.
  2. September 29, 2026 · 16 minHow to Run an AI Transformation Hackathon That Moves AdoptionAI got rolled out, and the behavior did not change. A hackathon fixes that by giving people a real problem and room to solve it.
  3. September 15, 2026 · 16 minHow I Built an Intelligence Pipeline Instead of an AI AgentThe model was the least interesting part. The difficult work was the pipeline around it.
  4. September 10, 2026 · 12 minHow I Automated 89% of a Finance Reconciliation Process Without Letting AI Do the MathThe interesting part was not automating Finance work. It was deciding which parts AI should never touch.
  5. August 8, 2026 · 6 minDemo Velocity Is Not Transformation VelocityAI is making individuals dramatically faster. Organizations aren’t accelerating at the same rate.
  6. July 19, 2026 · 5 minStop Measuring AI AdoptionA company can have high AI adoption and very little to show for it.
  7. July 11, 2026 · 6 minEmployees Should Not Have to Become Good at AIA lot of workplace AI adoption still amounts to this: here is a blank box. Type something clever.

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Ambiguous problem, AI adoption that stalled, an operating model that stopped scaling, a support function that should be a product. That is the conversation I want.