Managed AI
Create an AI-Agent Escalation Policy
Draft a fail-closed escalation policy that maps agent uncertainty and failures to named human owners, evidence, fallback, and restart gates.
Quick facts
- Best for
- Owners · Founder-operators
- Prompt type
- Effectiveness
- Expected result
- An escalation policy with evidence and source attribution, fail-closed states, named human owners and backups, approved-or-Unknown SLAs, fallback and restart gates, Planned versus Executed versus Passed exercise status, conflicts, and Unknowns.
- Time saved
- Varies by escalation paths and supplied operating evidence
- Required inputs
- AGENT JOB · ALLOWED AND PROHIBITED ACTIONS · CRITICAL FAILURES AND STOP CONDITIONS · ESCALATION OWNERS AND BACKUPS · ESCALATION SLAS · SYSTEMS AND DATA CLASSES · APPROVAL GATES · FALLBACK AND RESTART RULES
- Works with
- ChatGPT + Claude
What this prompt does
- Maps known triggers to a safe state, evidence packet, named owner, backup, and approval gate.
- Keeps proposed response times and restart conditions separate from approved, tested operating rules.
When to use
- Before an agent receives live authority, or when existing escalation ownership and safe-state behavior need review.
When not to use
- Do not use a drafted policy to operate, pause, restart, enable, disable, or change a live agent.
- Do not paste secrets or credentials, or upload unauthorized incident, customer, or agent data.
The prompt
#CONTEXT:
Create a review-ready escalation policy for one bounded AI-agent job. This is a policy draft for named human owners, not authority to operate or alter an agent.
#INPUTS:
- Agent job, trigger, inputs, decisions, outputs, completion, non-goals, and normal owner: [AGENT JOB]
- Allowed actions, prohibited actions, and actions that require human approval: [ALLOWED AND PROHIBITED ACTIONS]
- Supplied critical failures, uncertainty triggers, stop conditions, and incident definitions: [CRITICAL FAILURES AND STOP CONDITIONS]
- Named primary human owners, backups, technical responders, and decision rights: [ESCALATION OWNERS AND BACKUPS]
- Approved response and resolution SLAs, measurement basis, and consequence of no response: [ESCALATION SLAS]
- Approved systems, environments, source authority, access boundaries, and data classes: [SYSTEMS AND DATA CLASSES]
- Explicit approval gates for exception, communication, financial, access, production, restart, and authority decisions: [APPROVAL GATES]
- Manual fallback, backlog capture, reconciliation, rollback, restart evidence, and restart owner: [FALLBACK AND RESTART RULES]
#INSTRUCTIONS:
1. Map each supplied trigger to its evidence or source attribution. Label missing facts Unknown and incompatible instructions Conflict—human resolution required.
2. Define severity only from supplied rules. Do not infer a severity, SLA, threshold, owner, or approval right from examples or common practice.
3. For each trigger, specify the immediate fail-closed state, work preservation, evidence packet, named human owner, backup, allowed wait-state behavior, and explicit approval gate.
4. Include triggers for missing or conflicting sources, low confidence, out-of-scope requests, prohibited actions, changed permissions, expired credentials, tool failure, partial write, retry ambiguity, duplicate risk, privacy or security concern, data-class mismatch, monitoring gap, and critical failure.
5. If no qualified owner responds within an approved SLA, fail closed: stop the affected work, preserve evidence, use the approved manual fallback, and keep consequential action blocked.
6. Separate policy status as Proposed, Approved, Tested, Active, Retired, or Unknown. Separate exercise status as Planned—not executed, Executed—not yet reviewed, Passed—evidence reviewed, Failed, Blocked, or Unknown. Never claim a policy or monitoring process is active from a draft.
7. Do not invent, infer, or fabricate an SLA, threshold, result, owner, backup, policy status, exercise result, monitoring state, credential state, source, or capability. Unsupported values remain Unknown.
8. Require approval gates before any exception, customer or external communication, financial transaction, permission or access change, production change, agent deployment, enablement, disablement, restart, or authority expansion.
9. Do not infer authorization from a named owner, credential record, proposed SLA, prior decision, or escalation outcome.
10. Do not grant, revoke, or change permissions. Do not provision an agent or service account with access, permissions, or a role. Do not use or reveal credentials. Do not rotate any credential, token, API key, or secret. Do not deploy, enable, or disable an agent. Do not restart, pause, or activate an agent. Do not connect an agent or integration to a live system. Do not execute transactions. Do not send externally. Do not change production or claim monitoring is active.
11. Protect privacy, security, and data classes. Use only authorized agent data in an approved AI workspace or approved AI vendor. Minimize the evidence packet; redact or omit unnecessary personal, sensitive, or confidential data. Follow company retention and vendor policy.
12. Never paste secrets, credentials, tokens, API keys, private keys, or recovery codes. Reference the credential owner and approved secret manager only.
#RESPONSE FORMAT:
## Evidence and source attribution
| Rule or fact | Source | Authority or owner | Status | Conflict or Unknown |
|---|---|---|---|---|
## Escalation policy
| Trigger and severity | Detection evidence | Immediate fail-closed state | Evidence packet | Primary owner and backup | Approved SLA or Unknown | No-response fallback | Approval gate |
|---|---|---|---|---|---|---|---|
## Critical-failure, fallback, and reconciliation register
## Policy and exercise status
| Item | Proposed, Approved, Tested, Active, Retired, or Unknown | Planned, Executed, Passed, Failed, Blocked, or Unknown | Evidence | Owner |
|---|---|---|---|---|
## Conflicts, Unknowns, and decisions requiredInput checklist
- AGENT JOB
- ALLOWED AND PROHIBITED ACTIONS
- CRITICAL FAILURES AND STOP CONDITIONS
- ESCALATION OWNERS AND BACKUPS
- ESCALATION SLAS
- SYSTEMS AND DATA CLASSES
- APPROVAL GATES
- FALLBACK AND RESTART RULES
Example input
Fictional example — AGENT JOB: Northstar intake agent prepares internal summaries. ALLOWED AND PROHIBITED ACTIONS: Read sanitized intake and draft; no sending or CRM writes. CRITICAL FAILURES AND STOP CONDITIONS: Unsupported eligibility decision, data leak, duplicate write, missing authoritative rule. ESCALATION OWNERS AND BACKUPS: Maya, operations; Theo, backup; Omar, security. ESCALATION SLAS: Security response target supplied as 15 minutes; other response times Unknown. SYSTEMS AND DATA CLASSES: Sandbox CRM and restricted customer identifiers excluded. APPROVAL GATES: Maya approves policy exceptions; Omar approves security response; restart owner Unknown. FALLBACK AND RESTART RULES: Manual queue exists; reconciliation checklist draft only.Expected output structure
- An escalation policy with evidence and source attribution, fail-closed states, named human owners and backups, approved-or-Unknown SLAs, fallback and restart gates, Planned versus Executed versus Passed exercise status, conflicts, and Unknowns.
Customize this prompt
- Test the primary and backup route, no-response behavior, late approval, and restart gate with sanitized exercises.
- Make the evidence packet useful without copying unnecessary sensitive content into alerts.
Guardrails
- Fail closed on missing sources, unresolved conflict, uncertain permissions, missing ownership, unavailable approval, or critical failure; preserve evidence for review by a named human owner.
- Preserve evidence or source attribution for every trigger, severity, SLA, and approval gate; unsupported facts remain Unknown.
- Keep status distinct: Planned is not Executed, Executed is not Passed, and a proposed or tested policy is not necessarily active.
- Do not invent, infer, or fabricate any SLA, threshold, result, owner, policy status, monitoring state, credential state, or capability.
- Do not claim monitoring is active without supplied operating evidence.
- A named human owner must review and approve every payment or financial decision before any action.
- A named human owner must review and approve every legal, liability, admission, settlement, or contract decision before any action.
- A named human owner must review and approve every account, access, permission, or credential decision before any action.
- A named human owner must review and approve every policy exception, override, or waiver before any action.
- A named human owner must review and approve every external send or publication before any action.
- A named human owner must review and approve every deletion, closure, suspension, termination, revocation, deactivation, disablement, or archive decision before any action.
- A named human owner must review and approve every promise, guarantee, or commitment before any action.
- Use explicit approval gates; a named human owner must approve exceptions, communications, transactions, permission changes, production changes, restart, and authority expansion before action.
- Do not infer authorization. Do not grant, revoke, or change permissions. Do not provision an agent or service account with access, permissions, or a role. Do not use or reveal credentials. Do not rotate any credential, token, API key, or secret. Do not deploy, enable, or disable an agent. Do not restart, pause, or activate an agent. Do not connect an agent or integration to a live system. Do not execute transactions. Do not send externally. Do not change production or claim monitoring is active.
- Protect privacy and security: use only authorized agent data in an approved AI workspace or approved AI vendor; minimize data; redact or omit unnecessary personal, sensitive, or confidential data; follow company retention and vendor policy.
- Never paste secrets, credentials, tokens, API keys, private keys, or recovery codes.
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