Help enterprises become insurable for AI risk

Document the controls, governance practices, and runtime safeguards insurers increasingly expect before they will underwrite AI-related risk with confidence.

Book a demo

Why Choose ProofMap

Map controls to underwriting needs

Translate technical safeguards into language insurers and brokers can actually evaluate during renewal or new coverage discussions.

Document AI-specific risk posture

Show how the organization handles model behavior, human oversight, runtime controls, and data governance across agent workflows.

Improve coverage readiness

Give enterprises a clearer path to meeting AI security rider requirements instead of discovering gaps late in the underwriting process.

Comparison

Readiness need	Ad hoc preparation	Insurance readiness workflow
Control documentation	Assemble materials only when an insurer asks for them.	Maintain a current record of AI controls, incidents, and governance evidence.
Coverage negotiations	Debate exclusions without a clear technical narrative.	Present a structured explanation of how AI risk is identified, limited, and monitored.
Renewal preparation	Start from scratch each cycle.	Reuse a living readiness layer that stays aligned with insurer requirements.

Frequently Asked Questions

Why is insurance readiness becoming an AI product category?

Because insurers are narrowing generic AI coverage while enterprises still need a path to show they have credible controls in place.

Is the opportunity to become an insurer or a software layer?

For most startups, the more practical opportunity is a software layer that helps organizations prove readiness and satisfy insurer requirements.

What evidence matters most?

Insurers care about documented controls, oversight, incident handling, data governance, and the ability to explain how autonomous systems are constrained in practice.

Turn AI controls into underwriting evidence

Help buyers document the safeguards insurers increasingly require for AI-related coverage.

Book a demo