Human-in-the-loop patterns for governed agentic AI
Approval gates, escalation policies, and audit logs make agentic workflows usable in real operations.
Oversight is architecture
Human-in-the-loop design is more than a review checkbox. It defines where recommendations need approval, when automation can execute, and how exceptions escalate.
The strongest systems keep evidence, policy context, and accountability visible.
Design for recoverability
Agentic workflows need fallback paths, confidence thresholds, audit logs, and clear owner assignment.
That makes automation easier to scale without losing control over business-critical decisions.
Related next step
Review the related solution page or book time to discuss how this pattern applies to a specific workflow.