Shift Technology detects underwriting fraud for top 5 US P&C insurer, projecting $30M+ in annual mitigation
A top 5 U.S. P&C insurer needed to detect fraud and misrepresentation in new auto policies during the underwriting 'free look' period without expanding staff, while ghost broker fraud networks were generating claims with a 500% average loss ratio threatening customer satisfaction and brand reputation.
Shift's Underwriting Risk Detection generated more than $15 per new policy in incremental prevented losses, projecting over $30M USD annually in underwriting mitigation, with a 40% impact rate on policy alerts and 500% average fraud network loss ratios avoided — all while maintaining existing Underwriting staff levels.
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Frequently asked questions
What did this team achieve with this AI workflow?
Shift's Underwriting Risk Detection generated more than $15 per new policy in incremental prevented losses, projecting over $30M USD annually in underwriting mitigation, with a 40% impact rate on policy alerts and 500…
What tools did this team use?
Shift Claims Fraud Detection, network analysis AI, entity resolution AI.
What results were reported?
Incremental prevented losses per new policy: more than $15 for every new policy; Annual projected underwriting risk mitigation: more than $30M USD; Fraud network loss ratio avoided: 500%; Policy alert impact rate: 40% (source-reported, not independently verified).
How is this compliance monitoring AI workflow structured?
Free-look period analysis trigger → Misrepresentation detection → Ghost broker network detection → Entity resolution across policy and claims → Underwriting team review → Risk disposition decision.