Direct answer
AI governance defines how a business chooses, uses, monitors and controls AI systems so accountability remains clear.
What governance covers
A practical review can cover AI inventory, roles, acceptable use, vendor and model review, data governance, human oversight, monitoring, documentation and escalation.
- Risk identification
- Roles and accountability
- Human approval rules
- Model and vendor review
- Monitoring and auditability
Useful level of control
Governance should be proportionate. A low-risk drafting assistant does not need the same controls as an agent that can update customer records or trigger payments.
Evidence standard
Controls, certifications and compliance claims should only be published when implemented and verified. This page does not claim ISO certification or vendor partner status.