What we're learning inside actual AI implementations: shadow AI, governance, fluency training, and platform decisions. One honest post at a time.
Skip the agent debates. A working assistant built on one repeated task beats every impressive demo your team has seen.
Licences get bought at the top and ignored in the middle. Adoption flattens after month two unless someone owns it by name.
Give each person three AI tasks: one easy, one stretch, one important and unfamiliar. Trust first. Skills follow.
Nobody was ready for autonomous shuttles either. Five cities ran them anyway. Start small and specific, and readiness follows.
A layoff, 97 rejections, and a coach found on LinkedIn. Eighteen months later, the coach became the co-founder.
Run two tracks at once. One gets people productive on a safe setup within weeks. One works the harder security questions in parallel.
The pushback is the same in every organization. What shifts it is a working prototype built on the skeptic's own workflow, in the room.
Score the platforms against your actual requirements. The decision usually takes one structured session, not a quarter.