Industries

Insurance

Claims, underwriting and policy servicing where documents and exceptions dominate the work.

Insurance

Where AI pays

  • Claims intake and triage, where the work is reading documents and routing them correctly.
  • Underwriting support that assembles the submission rather than making the decision.
  • Policy servicing and correspondence, which is high volume and low variation.
  • Fraud signals across claims history that no individual handler sees.

Insurance

Common use cases

  • Read a first notification of loss, classify it, and open the claim with the fields already populated.
  • Summarise a submission pack for an underwriter with the exposures and exclusions surfaced.
  • Draft customer correspondence from the claim record, held for approval before it sends.
  • Flag claims whose pattern resembles previously confirmed fraud, with the comparison shown.

Insurance

What constrains it

  • Pricing and eligibility decisions attract conduct scrutiny and require demonstrable fairness.
  • Health and personal data in claims files carries a higher retention and access bar.
  • Regulators expect a human decision-maker to be identifiable on any adverse outcome.

Selected clients

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Claims, underwriting and policy servicing where documents and exceptions dominate the work.