Reconstruct an AI-Agent Loss Event Before Assigning Responsibility
By Carver Agents · Published 2026-11-04 · Updated 2026-11-04 · Content checked 2026-11-04
Technical/editorial preparation guidance checked against linked sources. No jurisdiction-specific legal opinion, underwriting decision, or independent legal review is claimed.
Jurisdiction: Not jurisdiction-specific
Keep the event and the conclusion separate
Suppose an assistant made a duplicate booking that a customer disputes. An incident record can establish the sequence of messages and tool calls. It does not, by itself, establish which party is legally responsible or whether a particular policy responds.
The NIST Govern playbook is a reference for accountability practices. The process here is an evidence-organizing proposal, not a liability rule for a particular jurisdiction.
Build a bounded incident record
| Record | Question it helps answer |
|---|---|
| Timeline | What happened before, during, and after the disputed action? |
| Authority | Which party configured the permission and which instruction was acted on? |
| Tool response | Did the external service accept, reject, or ambiguously report the action? |
| Human intervention | Who could review or stop the action, and when? |
| Claimed consequence | What loss or correction is asserted, and what evidence supports it? |
| Agreement | Which contractual questions need qualified interpretation? |
Preserve relevant original records appropriately and minimize sensitive information in summaries. Do not assume every log entry is complete or that a missing entry proves an action did not occur.
Test competing explanations
A retry, a mistaken identity match, and a manual action can produce superficially similar outcomes. Record which explanation is supported and which remains open. Identify the actual operator, affected location, and relevant agreements before attempting a legal conclusion.
Ask the coverage question separately
The Insurance Information Institute’s professional-liability introduction is background on that insurance category. It is not an AI-agent coverage determination. Take the actual policy and facts to an appropriate insurance professional rather than inferring coverage from a product label.
The assessment on this site can organize potential regulatory issues. It does not adjudicate fault, determine damages, or replace the legal and insurance reviews needed for a material incident.
Sources
- NIST AI RMF Playbook: Govern — NIST, accessed 2026-11-04
- Professional liability insurance — Insurance Information Institute, accessed 2026-11-04
Educational preparation and regulatory context only; not legal, insurance, or underwriting advice. Scenarios and worksheets are illustrative. Verify the relevant facts, current sources, and actual policy terms with an appropriately qualified professional.