Insurance
Underwrite with confidence
Try Live DemoAI evaluation for insurance
Carriers, MGAs, and agencies are adopting AI to generate underwriting reports, draft policy language, process claims, and produce regulatory filings. But large language models fabricate actuarial data and coverage analysis with the same confidence they use for verified underwriting information. In an industry governed by NAIC model regulations, state insurance codes, and market conduct standards, unchecked AI output creates solvency, compliance, and policyholder risk.
Frisby AI Operations provides forensic accuracy verification calibrated for insurance — catching fabricated actuarial data, non-compliant policy language, wrong coverage determinations, and biased claims processing before they affect underwriting decisions or regulatory filings.
AI evaluation challenges
unique to insurance
Insurance AI outputs carry underwriting, claims, and regulatory consequences. A fabricated loss ratio, wrong policy exclusion, or hallucinated actuarial assumption can lead to mispriced risk, unfair claims denials, and state regulatory enforcement actions.
⚠ Fabricated Actuarial Data
AI models generate plausible but invented loss ratios, fabricate claims frequency data, and produce hallucinated mortality tables. Underwriting decisions based on false actuarial data lead to mispriced policies, inadequate reserves, and solvency risk.
⚠ Non-Compliant Policy Language
AI-drafted policy forms may include unenforceable exclusions, omit required state-mandated coverages, or produce language that conflicts with NAIC model regulations. Non-compliant policy language triggers market conduct exam findings and state insurance department enforcement.
⚠ Inaccurate Risk Assessments
AI-generated risk assessments may rely on hallucinated exposure data, fabricate property characteristics, or produce wrong classification codes. Inaccurate risk data leads to adverse selection, increased loss ratios, and reinsurance treaty complications.
⚠ Bias in Claims Processing
AI outputs used in claims adjudication may reflect biases that produce disparate outcomes across demographic groups. Biased claims handling violates NAIC Unfair Claims Settlement Practices Act model language and state unfair trade practices statutes.
⚠ Wrong Coverage Determinations
AI-generated coverage analysis may misapply policy exclusions, fabricate coverage triggers, or produce incorrect subrogation assessments. Wrong coverage determinations result in bad faith claims, extra-contractual liability, and E&O exposure for agents and adjusters.
⚠ Regulatory Filing Errors
AI-drafted rate filings, form filings, and statutory reports may contain fabricated supporting data, wrong rate calculations, or non-compliant policy form references. Filing errors lead to state insurance department objections, delayed product launches, and market access restrictions.
How Frisby tools address
each insurance challenge
Underwriting Accuracy Auditing
Decompose every AI-generated insurance document into auditable claims — loss ratios, actuarial assumptions, coverage terms, exclusion language, and regulatory references. Each claim is cross-referenced against source data, policy forms, and rate filings. Verdicts classify each data point as Verified, Discrepancy, Hallucination, or Unverified.
Insurance Compliance Validation
Automatically screen AI-generated documents for compliance with NAIC model regulations, state insurance codes, unfair trade practices statutes, and market conduct standards. The Validator flags non-compliant policy language, identifies missing mandatory coverages, and ensures filings meet state department requirements.
Insurance Risk Scoring
Score every AI output for underwriting accuracy, claims exposure, and regulatory compliance risk. The Evaluator provides a 1–10 accuracy grade, flags high-severity errors that could trigger market conduct exams, and generates risk dashboards for chief underwriters and compliance officers.
Try it now
Paste any AI-generated text and run a four-dimensional audit.
Results that matter
improvement in risk accuracy
faster policy processing
saved annually
Built for the documents
your organization produces every day
Underwriting Reports & Risk Assessments
Audit AI-generated underwriting reports, risk assessment summaries, and submission analyses for fabricated exposure data, wrong classification codes, hallucinated loss history, and inaccurate property or casualty characteristics that affect pricing accuracy.
Risk: Wrong risk data → mispriced policies & adverse selection
Claims Analysis & Coverage Opinions
Verify AI-generated claims summaries, coverage determinations, and reservation of rights letters for misapplied policy exclusions, fabricated coverage triggers, and hallucinated claim facts. Protect against bad faith exposure and extra-contractual liability.
Risk: Wrong coverage analysis → bad faith & E&O claims
Rate Filings & Policy Forms
Audit AI-drafted rate filings, policy form language, and statutory annual statements for NAIC compliance, state-mandated coverage requirements, and accurate supporting actuarial data. Ensure filings pass state department review without objections.
Risk: Non-compliant filings → market conduct exams & delays
Policyholder Communications & Notices
Validate AI-generated renewal notices, cancellation letters, and policyholder disclosures for regulatory compliance, accurate coverage descriptions, and correct premium calculations. Ensure communications meet state notification timing and content requirements.
Risk: Wrong notices → regulatory penalties & policyholder disputes
Phased adoption roadmap
for insurance organizations
Assessment
Identify AI-generated documents with highest underwriting, claims, and regulatory risk. Map compliance obligations across operating states.
Week 1–2
Pilot
Deploy the AI Content Auditor on underwriting reports or claims summaries in a single line of business. Measure accuracy improvement and error detection rates.
Week 3–6
Expansion
Extend auditing across all lines of business, compliance filings, and policyholder communications. Integrate with policy administration and claims systems.
Week 7–12
Enterprise Scale
Full carrier deployment with batch processing, API integration, multi-state compliance templates, and automated reporting for chief underwriters and compliance officers.
Month 4+
“Frisby caught fabricated loss ratio data and hallucinated exclusion language in AI-generated underwriting reports that would have resulted in significantly mispriced commercial property policies. The accuracy verification pays for itself within the first month of deployment.”
— VP of Underwriting, Regional P&C Carrier
Frequently asked questions
Ready to bring AI evaluation
to your insurance organization?
Forensic, evidence-based AI content verification built for insurance. Catch hallucinations before they affect underwriting decisions, claims outcomes, or regulatory filings.
Enterprise tiers available for carriers, MGAs, and reinsurers with multi-state operations.