Most businesses that try to solve AI agent sprawl start by building a list. Someone opens a spreadsheet, asks around, and fills in agent names. Within three months the list is wrong, and everyone knows it is wrong, so nobody uses it. The problem is not effort. It is that the list was missing the fields that…

Most conversations about AI agent risk start in the wrong place. They start with the model. The model is rarely the problem. The problem is that an agent built for one purpose, by one team, six months ago, is still running — with credentials nobody has reviewed, against data nobody mapped, at a cost nobody tracks,…