AI Needs Active Insurance
Insurance coverage and risk monitoring for AI deploymentsin healthcare, hiring, lending, education, and housing.
Five ways AI deployment becomes a liability
Rubber stamp
The reviewer clicks approve without actually reviewing. Fast sign-offs and zero overrides turn your oversight into a liability.
Deployment profile
We map the decision workflow, intended use, validation evidence, customer contracts, known limitations, and failure modes. The result is a coverage-grade profile of where AI affects the decision.
Field evaluation
We test realistic cases, edge cases, subgroup performance, reviewer behavior, override paths, and UI pressure. The assessment shows how the deployment performs in the buyer's environment, not just in a vendor demo.
Coverage certification
We turn the assessment into a clear coverage position: covered deployment, required controls, monitoring scope, and operating parameters. Buyers get an answer they can underwrite, contract around, and defend.
The policies you have exclude the claims you'll face
"Ambient AI output is considered a draft. The clinician maintains accountability for any documentation that is signed and subsequently becomes part of the medical record."
"Companies are not absolved of their legal responsibilities when they let a black-box model make lending decisions."
"The Fair Housing Act applies to housing decisions regardless of what technology is used. Both housing providers and tenant screening companies have a responsibility to avoid using these technologies in a discriminatory manner."
"The vendor does not have liability. That liability is going to rest with the employer and nobody else. That's just the way employment law is in the United States."
Quoted from public statements, regulatory documents, and published reporting. No individual or organization has endorsed Proof of Review.