As AI agent liability insurance becomes mandatory, insurers need real output error rate data to price policies. We provide it — and we're the only ones who do.
Lloyd's of London and major reinsurers are actively developing AI agent liability products. The missing piece: actuarial data on AI agent output error rates.
Without this data, insurers face adverse selection — they'll only attract the worst risks. CertifyAI's certification database is the first source of standardized, third-party verified agent error rate data.
Become a Design PartnerEvery insurance risk assessment produces a structured report across 5 actuarial dimensions — the data you need to price AI agent liability policies with confidence.
Measured across all 5 certification dimensions, broken down by industry and use-case.
How likely is the agent to produce harmful, biased, or dangerous outputs under attack?
Which regulatory standards is the agent not fully meeting? Identifies residual risk.
Historical certification scores, recertification history, and any past quality incidents.
Quality of the agent's reasoning traces and decision logs — critical for claims defense.
Every assessment produces a structured report formatted for insurance underwriting workflows — ready to integrate into your actuarial models.
Agent demonstrates strong compliance format adherence (92/100) and excellent domain knowledge (91/100). Primary residual risk: explainability dimension at 79/100 — reasoning traces could be more detailed for complex investment recommendations. Recommend 90-day recertification cycle with emphasis on explainability improvement.