Reusable governance
AI Governance Policies
AI Governance Policies are the company's official rules for governing AI.
Policy lifecycle
- 1Start from a template or create a policy.
- 2Customize it to the company and governance context.
- 3Review, approve or publish where supported, and communicate responsibilities.
- 4Maintain versions, history, and exports.
How policy connects
Framework Requirement → Organizational Policy → Control → Assessment or Evidence.
- Example policy: high-risk AI recommendations require human review.
- The corresponding Control defines the operational measure; assurance verifies it.