You can almost certainly name every model your own team shipped this quarter. Now widen the frame to every business unit, every cloud account, every agent someone stood up in a fortnight: what is live, who owns it, and could you show an auditor the evidence by Friday? For most enterprises, the honest answer is a list that stops halfway. AI went from a few models built by one team to hundreds of models, applications and autonomous agents. Traditional governance models built for a single team cannot keep pace with hundreds of decentralized models. That gap is not a policy problem. It is a command problem, and it shows up in the work long before it shows up in an audit. Deployments slow down because every project re-litigates data, risk and ownership from scratch. Exposure hides in unregistered models and agents nobody is accountable for. Compliance evidence gets assembled by hand the week the regulator calls. |