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.
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.
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.
Cross-org initiatives are strategic bets, but traditional project management consistently fails them. What product-oriented initiative ownership looks like — and why it applies even to non-product transformations.
Internal tool adoption stalls for the same reason products fail: building without understanding the user. What IT and Ops leaders can borrow from product management to actually move the needle on adoption.
Every major tech wave has a cart-before-the-horse phase. What product-led AI looks like instead: starting with customer outcomes, embedding cross-functional ownership, and exploring problems before solutions.