The Drift Check
A monthly AI leadership thinking ritual that catches quiet quality decay before your team builds on it. The AI workflow that impressed everyone in March is still running in November. Nobody has looked at it closely since. That is where good AI leadership thinking has to start: not with the next tool, but with the honest question of whether yesterday's tool still does what we trust it to do. Models update. Prompts get edited by three different people. Source data changes shape. None of this announces itself. The output still sounds fluent, so the decline stays invisible until a client, a regulator or a colleague finds it first. The Drift Check is a 30-minute monthly habit that makes that decline visible while it is still cheap to fix. Why AI Leadership Thinking Needs a Drift Check Most teams test an AI workflow once, at launch, and then treat it as infrastructure. But an AI workflow is closer to a new hire than a light switch. Its judgment shifts with its context, and some...