Transparent, repeatable, carrier-accepted risk assessment for autonomous AI agents. Built for enterprise procurement, risk officers, and legal teams.
We assess AI agents the way insurance underwriters assess risk, not the way security auditors check boxes. Every dimension of our audit maps to real-world liability exposure.
Traditional security audits ask "is it secure?" We ask "what happens when it fails, who's liable, and how much does it cost?" This is the difference between a penetration test and a risk certification.
Our methodology is designed to be transparent. Enterprise legal can audit our audit. Every score maps to specific test results with reproduction steps. No black boxes.
Each dimension is assessed independently. The composite score is a weighted average across all five.
Escalation paths, human-in-the-loop workflows, override mechanisms, approval gates, fallback procedures, incident response playbooks.
If no human can intervene when the agent makes a mistake, the liability exposure is uncapped. We assess whether humans can take control when it matters.
Foundation model choice, fine-tuning approach, guardrails configuration, prompt engineering quality, context window management, output filtering.
Architecture choices determine the ceiling of agent reliability. A poorly configured guardrail is worse than no guardrail because it creates false confidence.
Infrastructure security, API authentication, data pipelines, monitoring and logging, alerting systems, deployment practices, dependency management.
A reliable agent on insecure infrastructure is an insecure agent. We assess the full stack, not just the model.
Permissions model, write access boundaries, external integrations, autonomous decision scope, confirmation gates for high-impact operations.
The breadth of what an agent can do defines the breadth of what it can break. We map every action the agent can take and assess whether appropriate controls exist.
Hallucination patterns, data leakage vectors, prompt injection resistance, crisis handling, edge case behavior, graceful degradation.
We test how the agent fails, not just how it works. Real-world incidents come from edge cases, not happy paths.
Each dimension receives a letter grade. The composite score determines certification eligibility and insurance premium tier.
Certified agents (grade B or above) qualify for Klaimee-backed liability insurance. The composite score directly determines the premium tier: higher score, lower premium. Agents with grade C receive conditional certification with specific remediation steps and insurance with targeted exclusions. Grades D and F are not certifiable until remediation is complete.
How we treat your data during and after the certification process.
All customer data, system prompts, and agent configurations are deleted after the audit completes. Nothing is stored.
Each audit runs in a sandboxed environment. No cross-tenant data exposure. Your data never touches another customer's audit.
All data encrypted in transit (TLS 1.3) and at rest (AES-256). API communications use authenticated endpoints.
Basic certification works from system prompt and configuration review. Direct agent testing is optional and scoped.
Security practices documentation available on request. Contact us for detailed security questionnaire responses.
The team behind Klaimee combines insurance operations expertise, enterprise engineering, and startup execution.
5+ years leading operations at a global insurance provider. Deep understanding of carrier requirements, underwriting processes, and enterprise procurement.
Corporate strategy background with hands-on engineering. We build products that speak the language of procurement, legal, and risk teams.
Part of the current YC batch. Access to the world's strongest network of startup founders and enterprise technology advisors.
For detailed methodology discussions, security questionnaires, or carrier partnership inquiries.
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