AI Governance

AI governance creates and enforces the rules, roles, evidence, and decision processes used to manage AI across its lifecycle.

Effective governance starts during ideation. Inventory the system, classify risk, identify affected people, assign an owner, and define required evidence before development becomes expensive. Continue through training, procurement, validation, deployment, monitoring, incident response, and retirement.

This work is technical and cross-functional. Engineers understand what can be tested. Legal and compliance understand obligations. Domain teams understand consequences. Business leaders control resources and launch decisions.