Notes on moving from AI experiments to AI practice.

Over the last couple of years, organizations have done what organizations tend to do when something exciting arrives: they experimented. Someone found a use case. Someone else bought a tool. An engineer discovered that an AI assistant could eliminate half an afternoon of tedious work. A team built an agent. Another team built a slightly different agent to solve roughly the same problem. And somewhere, inevitably, there is a PowerPoint slide called “AI Transformation.”

There is a point at which software stops being something an organization builds and starts becoming something it has inherited. Governments know this problem particularly well.