Does governance slow down AI adoption?
Clear rules usually speed it up, because teams know what is allowed and approvals become routine instead of exceptions.
AI Operating System · Governance
Governing AI Across the Organisation
Governance makes AI use predictable: which data may be used where, which actions need approval and who is accountable.
Policies to define
- Data classes and the models allowed for each
- Actions agents may perform without approval
- Retention of prompts, outputs and logs
- Requirements for new use cases before go-live
Roles and accountability
Process owners are accountable for their use cases; a central team operates the platform; security and data protection approve policies; management decides on risk appetite.
Technical controls
Permission-aware retrieval, approval steps, rate limits, cost budgets, output filters and complete logging translate policies into enforced behaviour.
Regular reviews
Review quality metrics, incidents, costs and policy exceptions at fixed intervals and retire use cases that no longer deliver value.
Frequently asked questions
Who approves new AI use cases?
A defined board or process including the process owner, security and data protection, with a lightweight path for low-risk cases.