How do white-label AI products affect risk descriptions?

Short answer

Identify whose brand appears, who operates the service and who answers customers. The same software can create different responsibilities when sold under another organization's name.

An illustrative example

An agency resells a chatbot under its own branding.

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

Three facts to prepare

• Branding arrangement
• Operator responsibilities
• Customer support owner

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

Does the insured-services description include our white-label arrangement?

Begin with the service a customer buys and the consequence of failure. Separate a provider's own work from third-party components, internal AI use and customer-configured actions. A concise service map helps a professional examine actual forms; it does not establish available coverage.

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.

• NAIC: cybersecurity and insurance

  General commercial cyber context; the NAIC describes cyber policies as customized. This source does not decide coverage for an AI scenario.

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.