AI agent governance is the operating system that defines what an agent can observe, recommend, approve, or execute inside a specific workflow. Effective governance names the business owner, evidence requirement, action threshold, exception path, audit record, and review cadence before the agent encounters a material decision.
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AI agent governance defines what an agent can observe, recommend, approve, or execute inside a specific workflow. The operating map names the business owner, evidence requirement, permission mode, takeover threshold, exception path, audit record, and review cadence.
Human in the loop means a person participates at a defined point in the workflow. The phrase becomes useful when the company specifies which person, what decision they own, what evidence they receive, when they must act, and how the result is reviewed.
Yes, inside an explicit and tested boundary. The decision needs clear evidence, a named business owner, takeover thresholds, an exception path, an audit record, and a review cadence. Security, privacy, compliance, and production-control requirements still apply.
Approval debt is the delay and inconsistency created when human review is added without a defined decision rule. Reviewers recheck routine evidence, apply different standards, and send exceptions through an approval hunt.