AI in Insurance Claims
AI in insurance claims, step by step from intake to appeal: what each system decides, where it can go wrong, and what record makes the step reviewable.
Property & casualty
AI in property and casualty lines, from telematics and aerial imagery to catastrophe models, and what regulators expect of each.
AI Use Cases in Insurance by Business Line →Guides & analysis
AI in Insurance Fraud Detection and the Governance of Suspicion
How insurers use AI to detect fraud, how generative AI changes the fight, and what governance is needed to avoid false positives and bias.
Prior Authorization Is Where Health AI Gets Tested
How health insurers use AI in prior authorization, claims adjudication, and risk adjustment. What the NAIC, CMS, and recent litigation mean for governance.
AI in Homeowners Insurance Pricing and the State Rate Review
How homeowners insurers use AI, aerial imagery, and catastrophe models to price property risk, and what state regulators now require for transparency.
AI in Life Insurance Underwriting and the New Regulatory Test
How life insurers use AI in accelerated underwriting and what regulators now require for proxy testing, fairness, and documentation.
AI in Reinsurance Treaty Pricing and Catastrophe Modeling
How reinsurers use AI in treaty pricing, catastrophe modeling, and contract analysis. What model transparency and capital governance mean for risk carriers.
What Regulators Test in AI Underwriting
How AI in underwriting works across P&C, life, and health lines, what the NAIC evaluation tool expects, and how to prove your models are fair and traceable.
AI Use Cases in Insurance by Business Line
A business-line map of insurance AI: the decision each system shapes, the risk that makes the line distinct, and the guide to read next.
Agentic AI in Claims and the Human Review Test
How agentic AI in insurance changes claims decisions, where Exhibit C records the risk, and how carriers can test whether human review is meaningful.