# AI Insurance Buyer's Checklist

Questions to work through before you assume your organization is covered for AI risk, or buy a product to fill the gap. Offered under CC BY 4.0 by AI Risk Atlas (airiskatlas.com).

## 1. Know your exposure

- [ ] You have mapped where AI can cause you financial loss (bad outputs, failures, downstream liability)
- [ ] You know which of your AI systems are highest risk and why
- [ ] You have quantified, even roughly, the size of a plausible AI loss

## 2. Check your existing policies for silent AI

- [ ] You have read your professional indemnity, technology E&O, D&O, and cyber wordings for AI language
- [ ] You know whether each policy covers, excludes, or is silent on AI-caused loss
- [ ] You have asked your broker or insurer to confirm AI treatment in writing
- [ ] You have checked for new AI exclusions added at the last renewal

## 3. Evaluate AI-specific products

- [ ] You understand what each candidate product actually covers and excludes
- [ ] You know whether it is indemnity, parametric (performance-based), warranty, or embedded cover
- [ ] You have checked the capacity, limits, and the carrier or MGA standing behind it
- [ ] You understand how a claim would be triggered and proven

## 4. Connect assurance to cover

- [ ] You can produce the assurance evidence (evaluations, monitoring, certifications) an underwriter will ask for
- [ ] You understand that stronger assurance should mean better terms and availability
- [ ] You have aligned to a recognized standard that insurers recognize (for example ISO/IEC 42001)

## 5. The buying decision

- [ ] You have weighed transferring the risk (insurance) against reducing it (assurance), and chosen a mix
- [ ] You have a view on whether to act now or wait, given that mandates or a major loss could move the market quickly
- [ ] You have a named owner for AI insurance decisions
- [ ] You will re-check cover as your AI footprint and the regulatory picture change

## A note on timing

AI insurance is largely optional today, but emerging insurance categories tend to become table stakes suddenly, on a regulatory trigger or a high-profile loss. The organizations that fare best are usually the ones that got insurable before everyone else was trying to.

Read more: airiskatlas.com/learn/what-is-ai-insurance and airiskatlas.com/analysis/when-does-ai-insurance-become-required