AI Governance Checklist
Governance is what lets AI scale safely. This checklist covers the policies, accountability, risk controls, compliance, and monitoring that keep AI use responsible and defensible.
Policy
- Documented an AI acceptable-use policy
- Maintained an approved-tools list
- Defined data-handling rules for AI inputs and outputs
Accountability
- Named an AI owner or governance committee
- Set review and approval gates for AI use cases
- Defined an incident and escalation process
Risk
- Completed model and vendor risk assessments
- Reviewed for bias, fairness, and harmful outputs
- Run a security review of AI tools and data flows
Compliance
- Mapped applicable regulations and obligations
- Enabled audit trails and logging
- Documented key AI decisions and rationale
Monitoring
- Monitoring usage across the organization
- Checking output quality on an ongoing basis
- Reviewing and updating the policy periodically
Why this matters
Without governance, AI use spreads in the shadows, creating data, compliance, and reputational risk. Clear policy, ownership, and monitoring let you say yes to AI with confidence.
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