INNOVATION LAB
AutoFraud Shield
Auto Insurance Fraud Intelligence
The Problem
10-15% of Auto Claims Contain Fraud Costing Tens of Billions
Organized fraud rings coordinate staged accidents, inflated repairs, and provider collusion networks that evade traditional rules-based detection systems catching only 20-30% of fraudulent claims.
Organized Fraud Rings
Coordinated fraud rings generate $40B+ in losses through staged accidents, inflated claims, and collusion between claimants and providers.
$40B+ annual organized fraud losses
Low Detection Rates
Traditional rules-based detection catches only 20-30% of fraudulent claims, missing sophisticated schemes that evolve faster than static rules.
70-80% of fraud goes undetected
Provider Collusion
Collusion between claimants, repair shops, attorneys, and medical providers creates complex networks that are invisible to single-claim analysis.
4-6 parties per fraud ring
Inflated Repair Costs
Repair shops inflate estimates using phantom labor, unnecessary parts, and above-market pricing that is difficult to detect at individual claim level.
$8-12B in inflated repairs annually
The Solution
Network-Level Fraud Detection for Auto Insurance
AutoFraud Shield maps relationships across millions of claims to identify fraud rings, scores claims for staged collision indicators, and benchmarks repair costs against market rates in real time.
Cross-Claimant Network Analysis
Identifies fraud rings by mapping relationships between claimants, repair shops, attorneys, and medical providers across millions of claims.
Staged Accident Detection
Scores claims for indicators of staged collisions using telematics data, photo analysis, and historical accident pattern matching.
Repair Cost Intelligence
Detects inflated repair estimates using market-rate benchmarking, parts pricing databases, and labor time normalization.
Key Metrics
Interested in AutoFraud Shield?
Contact our innovation team to explore auto insurance fraud intelligence.