Enterprise AI
AI governance
The policies, roles, controls, and oversight used to manage AI responsibly.
Example
A governance committee sets decision rights, controls, and review processes for AI.
Why it matters
It helps organizations assign responsibility as AI use grows across teams.
You'll hear it
“Who can approve this use, and who checks it afterward?”
Can you control it?
Sometimes
Sometimes. An organization can define or influence AI governance through its policies, processes, contracts, and product choices. Individual users may have fewer controls.
Common questions
- Is governance only about blocking risky projects?
- No. It can also make acceptable uses clearer and easier to support.
- Does publishing a policy complete governance?
- No. The policy needs practical ownership and follow-through.
- Can different uses require different review levels?
- Yes. More consequential uses may need stronger checks than routine low-impact work.