How can a founder avoid making an insurance decision from fear of AI?

Short answer

Use concrete activities, obligations and failure scenarios, then seek qualified explanation of actual terms. The decision should follow understandable facts rather than broad claims that all AI companies need identical protection.

An illustrative example

A founder receives alarming generic AI risk marketing.

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

Three facts to prepare

• Actual activities
• Required obligations
• Specific concerns

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

Which risks are relevant to our business rather than a generic AI label?

Separate established facts from projections and planned features. Growth, new entities, new locations and product changes can make an old description incomplete. Review actual documents and dates with qualified advisers, and allow time for available markets to assess the real business.

Sources and scope

• 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.

• NIST: AI Risk Management Framework

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

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.