Org-level structures and processes for managing AI risk and value—policies, review boards, inventories, and accountability for outcomes.
AI governance translates principles into day-to-day controls: system inventory, risk tiering, approval gates, and incident response. Often instantiated via an AI Governance Committee that reviews new AI use cases.