Topic
Insurance claims and underwriting
663 stories · tracked since Aug 5, 2024 · latest Nov 6, 2026
Underwriting is how an insurer decides whether to accept a risk and price it; claims handling is how it pays out once a loss happens. Together they form the lifecycle of a policy, and both are being reshaped by AI models that assess risk and assess damage faster than manual review.
How a risk gets priced and a claim gets paid
An underwriter reviews an application against the risk factors an insurer is willing to accept, sets a price, and decides the terms under which the policy binds; brokers and managing general agents often handle this step on a carrier's behalf. Claims handling starts when a policyholder reports a loss, moves through an adjuster's assessment of what happened and what it is worth, and ends with a settlement or a denial. The vocabulary that recurs is FNOL (first notice of loss), loss adjustment, binding, and the loss ratio a book of business runs.
Underwriting and claims are two different jobs
Despite the shared label, the two sit on opposite sides of a policy and are usually run by different teams with different incentives: underwriting happens before a loss, using data an insurer already holds to decide whether to write a risk at all; claims happen after one, using facts specific to that event to work out what is owed. Vendors increasingly sell tools that touch both — a single AI platform might score a submission and later triage the claim on the same policy — which is why the two keep appearing together even though an adjuster and an underwriter rarely do the same work. Managing general agents are the clearest hybrid, often judged on both how well they select risk and how they handle the claims that follow.
Why underwriting and claims are hard to automate
The hard part is not spotting patterns in data, it is judgment under uncertainty: an underwriter is pricing a risk that has not happened yet, and an adjuster is valuing a loss that already has, often amid disputed facts or a catastrophe that damaged many properties at once. AI models can now score a submission or triage a wildfire claim from property imagery far faster than manual review, but insurers still hold a human in the loop for anything contested, because policyholders trust a person more than a model when a claim is denied, and regulators expect a defensible reason for a price.
What the coverage here shows
The companies most active here split between established carriers and brokers — Zurich, Allianz, Liberty Mutual, Allstate, MSIG, Aon, Amwins — and specialist claims and underwriting technology vendors such as Verisk, Sixfold, CLARA Analytics, Genki and Wave Claims, alongside the rating agency AM Best assessing how the shift affects insurer creditworthiness. Coverage has moved from general digitization toward specific AI tools: submission triage on the underwriting side, and automated damage assessment from property imagery on the claims side, especially around wildfire. It overlaps constantly with AI & Automation and Property & Cat, and often with Partnerships and Funding as carriers license technology rather than build it themselves.
Written by Insurtech Daily from the coverage below.
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Insurance Business, Coverager, Reinsurance News, Insurance Business UK, Insurance Journal, Digital Insurance, Insurtech Insights, Carrier Management, FinTech Global, Beinsure
Coverage
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Showing the 60 most recent of 663.