What should agents ask about customer dependence on AI outputs?

Short answer

Identify decisions made from outputs and available verification or fallback. A wrong answer has different consequences depending on whether it is casual information or a relied-upon deliverable.

An illustrative example

A client uses forecasts to place inventory orders.

This is a hypothetical situation, not a real customer outcome or a coverage determination.

Three facts to prepare

• Decision use
• Verification
• Fallback process

Use a brief, accurate summary. Separate confirmed facts from assumptions; keep passwords, identity numbers, private customer records and confidential documents out of an initial marketplace request.

A question to bring to the right professional

What happens operationally if this output is wrong?

The goal is an accurate client activity description and a qualified review of available terms. Keep professional, legal and technical questions with their appropriate reviewers. Use category-level information first and obtain evidence through a secure process, avoiding unsupported assumptions about compliance, authority or coverage.

Sources and scope

• NIST: AI Risk Management Framework

  A voluntary framework for organizing AI risk. It is not an insurance contract, certification or determination of legal compliance.

• Travelers: technology errors and omissions risk examples

  Insurer-authored context on technology service allegations and differences in policy wording. Product descriptions apply to that source; they are not LunarQuote offers or evidence of a partnership.

Sources supply the stated background, not a determination about the illustrative case. The example, checklist and discussion prompt are LunarQuote educational material. Source links checked October 5, 2026.