Build an automated claims fraud scoring pipeline using a third-party SIU analytics API integrated at FNOL

domain: insurance-general · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. At FNOL intake, collect structured claim data including claimant identity, loss details, coverage type, and reporting party information
  2. Submit the FNOL data to the fraud analytics API (such as Verisk Claims Fraud, ISO ClaimSearch, or a carrier-selected SIU vendor) using the vendor's request schema
  3. Retrieve a fraud score, risk indicators, and any matched records from prior claims or known fraud patterns returned by the API
  4. Apply a rules-based routing logic: low-score claims proceed to straight-through processing; high-score claims are flagged and queued for SIU review
  5. Log the fraud score, contributing indicators, and routing decision in the claims system of record for audit purposes
  6. Feed adjudication outcomes back to the fraud model vendor if contractually permitted to improve model accuracy over time

Known gotchas

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