FRAUDFLOW AUTO
Detect Fraud Risk in Auto Claims Processes at Early Stages
FRAUDFLOW AUTO analyzes vehicle, driver, service, expert and claims history data together and makes suspicious files visible at the moment of file opening.
What Does FRAUDFLOW AUTO Provide?
FRAUDFLOW AUTO provides not only fraud detection but also end-to-end risk visibility in auto claims processes. Thanks to the platform:
- Suspicious claim files are identified at an early stage
- Organized fraud relationships are revealed
- Image reuse detected
- Service and expert behaviors are analyzed
- Research teams focus on the right files
Key Capabilities
Claim File Risk Scoring
Automatic risk analysis is performed as soon as each file is opened.
Image Reuse Detection
Damage photographs reused in different files are detected.
Image AI Manipulation Detection
Automatically detects images that have been modified or rearranged.
Fraud Network (SNA)
Organized fraud structures are revealed by analyzing the relationships between vehicles, drivers, services, experts and files.
Service and Expert Behavior Analysis
Abnormal payment and claims behavior is identified at an early stage.
Industry Data Integrations
Direct connection to national insurance data services, combining policy, claim, and verification data into a single stream.
- Tax identity query
- Traffic quote service
- Arbitration service
- Driver penalty service
- Fraud registry service
- Recovery claims service
- Identity verification services
- Population registry services
- Accident report services
- Severe damage services
How Does It Work?
FRAUDFLOW AUTO integrates with your existing systems.
- Core insurance systems
- Damage management platforms
- National insurance data services
- Image archives
Works with:
It generates a risk score at the time of file opening.
Benefits Provided
- Reducing unnecessary claims payments
- Increased productivity of research teams
- Early detection of organized fraud structures
- Optimizing expertise costs
- Providing risk visibility at the management level
Explainable AI + Human-in-the-Loop
The parameters of the risk score are clearly shown.
Model accuracy is constantly increased by learning expert user feedback by the system.