Agent escalation design
AI agent escalation checklist: make every stop actionable
Design escalation records that tell a human what happened, what is blocked, what decision is required, and what continues safely.
Target outcome
A bounded escalation contract that reduces ambiguous approvals and accidental expansion of authority.
Work through the evidence
before the final claim.
- 01
State the exact blocked action
Name the target, intended change, affected system or person, and why the agent cannot continue autonomously.
- 02
Present minimum evidence
Include the relevant source, observation time, uncertainty, alternatives considered, and potential consequence without exposing unnecessary sensitive data.
- 03
Ask for one concrete decision
Approval should cover a specific action and scope. Avoid broad questions that can be misread as standing permission.
- 04
Define expiry and continuation
Record how long the approval remains valid and which unrelated read-only or reversible work can continue while waiting.
Example input
A concrete first pass
“Approval needed to contact customer.”
Reviewable output
“Approve one reply to the existing support thread, using the attached draft, with no refund, discount, legal claim, or new data request; expires in 24 hours.”
The human can decide quickly without unintentionally authorizing a wider class of actions.
Important boundaries
What this workflow does not prove
- An escalation record is not proof that the downstream system enforces it.
- High-impact actions may require multiple accountable approvers.
- Sensitive evidence should stay in the appropriate restricted system.
AI operations teams · $99 once
Use AgentBoundary Approval Map for the structured first pass.
Map an agent workflow into clear approval boundaries so humans can see where action must stop, escalate, or remain read-only.