Responsible AI Governance: The Minimum Operating Model

Policies need an operating route

Responsible AI is not achieved by publishing principles alone. Teams need a repeatable way to register use cases, assess risk, approve access, evaluate behaviour, monitor performance and respond when something goes wrong.

The operating model should be proportionate. A low-impact drafting assistant does not need the same controls as an agent that changes records, communicates externally or influences a regulated decision.

Six components of a minimum model

1. A named business owner and technical owner
2. A use-case register with purpose, users, data and actions
3. Knowledge and permission controls
4. Evaluation examples, acceptance criteria and red-team tests
5. Human review and escalation for uncertain or high-impact output
6. Monitoring, change control and an incident route

Keep evidence that supports decisions

Record why a use case was approved, which risks were accepted, what tests were run and who owns ongoing review. Evidence should be understandable to the people accountable for the business process, not only the development team.

Review the service when its model, knowledge, permissions, user population or business impact changes.

Turn the guidance into a practical next step

Use the article as a starting point for a focused review of your process, platform or AI opportunity. Bring representative examples, current constraints and the outcome you want to improve.