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Claims
Claims that move at the speed of the damage, not the paperwork
Claims still open with a phone call or a form, move through adjusters by hand, and wait on photos, documents, and a fraud check before anyone gets paid. A straightforward claim can take as long as a complicated one.
AI takes on the reading and the triage. Models flag the claims that look fraudulent before they're paid. Document AI reads the photos and paperwork behind a claim and assembles the intake packet. Agents move a straightforward claim from first notice through payment, and route only the exceptions to an adjuster. Your team spends its time on the claims that need judgment, running in your own environment.
6 use cases
Claims fraud detectionMachine learning scores every insurance claim for fraud risk from first notice of loss onward, so the SIU works the claims most likely to be fraudulent.Claims scoring, routing and denial reviewMachine learning that scores each insurance claim on arrival, routes it by risk and complexity, and explains every score and denial with reason codes.FNOL intake and claims triageAI that reads a first notice of loss packet, checks it against the policy, flags claims needing special handling, and drafts the routing for your claims team to approve.Policy and endorsement document intelligencePolicy and endorsement document intelligence reads your policy forms, endorsements, and contracts, then answers coverage questions with a citation to the exact wording, for underwriting, claims, and servicing teams.Subrogation identification and recoveryAI reads each claim file for third-party recovery potential, judges the evidence against your guidelines, and drafts the recovery package for your team to review and pursue.Telematics-based insurance modelsMachine learning models that use vehicle driving data to score claims fraud, customer churn and billing risk for each policyholder, with reasons attached.
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