🚨 Handle Incidents When AI Gets It Wrong

When an AI output goes wrong we fix it and move on without recording anything. Build me an incident register. Record each incident with the date it occurred and the date it was identified, the use case and tool involved, what happened in plain language, who or what was affected, the severity, and crucially how it was detected, since being told by a customer is a very different finding from catching it internally. Include near misses where nothing actually went wrong. Record the immediate action taken, the root cause, and corrective actions with owners and due dates, tracked through to completion rather than to agreement. Link each incident to the use case and the policy rules involved. Add an AI agent that reviews incidents over time and tells me plainly where the same underlying cause keeps recurring, which controls are not working as intended, and which detection gaps mean we are probably missing incidents entirely. Automate three things: an alert to the governance owner on any high severity incident, reminders on overdue corrective actions, and a scheduled quarterly themes report. Three logins: anyone can report an incident, an owner works corrective actions, and an auditor reads everything.