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Insurance Fraud Detection — US P&C Insurer ($4.2B Premium)

Fraud detection +3.4× | $12.4M blocked pre-payment | Investigator capacity +2.8×
16 weeks

The Problem We Were Brought In To Solve

$4.2B US P&C insurer losing $34M annually to staged accidents and medical provider rings. SIU catching only 28% of fraud — after payment.

How Revino Delivered

Pre-payment fraud scoring: social network analysis for provider rings, billing anomaly detection, claimant history cross-referencing, narrative red flag extraction.

Measurable Business Impact

Fraud detection rate: 28%→71% of fraudulent claims
Pre-payment blocks: $12.4M in Year 1
Investigator productivity: +2.8×
False positive rate: 4.2% (minimal friction)
State DOI compliance automated
PythonGraph Neural NetworksLightGBMAWSPostgreSQL
Insurance IndustryAI Automation & AnalyticsAI & ML Engineering
KEY METRICS
3.4×
Detection rate
$12.4M
Fraud blocked
2.8×
Investigator capacity
4.2%
False positive rate
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