Governance checklist
AI governance checklist for practical business adoption.
Governance gives staff confidence. It defines what AI can touch, who reviews outputs, and how the business handles risk.
Usage rulesData boundariesReviewAccountability
Direct answer
An AI governance checklist should cover approved use cases, data boundaries, human review requirements, role ownership, escalation rules, audit habits, and ongoing improvement.
Governance questions
Use these questions before moving a workflow into daily use.
- What data is allowed in this workflow?
- Which output can be used internally, and which needs review?
- Who owns the prompt, automation, or assistant?
- How are mistakes reported and corrected?
- When should the workflow be paused or escalated?
Keep the rules usable
Governance should be specific enough to guide behavior and short enough that staff can actually follow it.
Related AI operations pages
FAQ
Common questions about governance checklist.
Is governance only about risk?
No. Governance also improves adoption because people know how to use AI responsibly and consistently.
How often should governance be reviewed?
Review governance whenever a workflow expands, a new data source is added, or quality issues appear.