Buyer glossary
Definitions that keep product claims, safety, enterprise operations, and market evidence in the same frame.
How to use it
These are working definitions for enterprise research, not legal, professional, or educational advice. Follow the linked category and market guides for context.
first notice of loss is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how first notice of loss is defined, measured, documented, and governed in the proposed deployment.
claims triage is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how claims triage is defined, measured, documented, and governed in the proposed deployment.
underwriting is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how underwriting is defined, measured, documented, and governed in the proposed deployment.
predictive model is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how predictive model is defined, measured, documented, and governed in the proposed deployment.
special investigation unit is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how special investigation unit is defined, measured, documented, and governed in the proposed deployment.
explainability is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how explainability is defined, measured, documented, and governed in the proposed deployment.
model drift is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how model drift is defined, measured, documented, and governed in the proposed deployment.
human-in-the-loop is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how human-in-the-loop is defined, measured, documented, and governed in the proposed deployment.
unfair discrimination is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how unfair discrimination is defined, measured, documented, and governed in the proposed deployment.
loss ratio is a term used when evaluating AI-enabled claims workflows; its exact meaning depends on the intended use, data, and accountable process.
Why it matters: Ask how loss ratio is defined, measured, documented, and governed in the proposed deployment.
Why read
The short answer: shared definitions help a buyer separate a product's stated purpose from evidence, safety, market, and procurement questions.
Next step: choose a category, open its buyer questions, and ask the vendor to define any term that still means something different in practice.
A practical next step
Enterprise AI Group describes a 6–8 week path for a defined business process, with governance, policy management, enterprise security, and Microsoft-tenant deployment considered from the start.
Enterprise AI Group describes a 6–8 week path for a defined workflow. Timing and cost depend on scope, users, integrations, security, governance, and support. These research pages are published by Enterprise AI Group. The implementation links describe optional Enterprise AI Group services; they are not product endorsements or a replacement for local claims diligence.
Explore workflow automationDo not include personal, confidential, regulated, or other sensitive information in an enquiry.
Keep the useful part
Send the claims workflow, market, or category you are researching. We will use it to shape the next clear buyer brief.
Useful detail: include the market, workflow, or category behind a claims AI term or category.
Please do not send personal, confidential, regulated, or other sensitive information.