PX FraudCheck

Automated Fraud Detection in the Claims Process

How PX FraudCheck Works

PX FraudCheck automatically analyzes incoming claims documentation for anomalies, inconsistencies, and systematic patterns directly within the ongoing process. Invoices, cost estimates, images, and structured claims data are evaluated using AI and integrated into a unified context. In addition to verifying items, repair scopes, and pricing structures, PX FraudCheck also detects manipulated documents, duplicates, and suspicious patterns in metadata such as invoice numbers, company details, or bank account information.

Non-suspicious cases proceed automatically. In the event of relevant anomalies, structured alerts are generated and specifically forwarded to the fraud or claims team – including a reliable basis for decision-making. This creates an integrated review process that detects fraud early, reduces the workload on operational units, and sustainably improves the quality of decisions in the claims process.

Key Features – What Sets Us Apart?

Validation and Verification of claim details

PX FraudCheck automatically checks claim details for plausibility regarding quantity, material, price, and quality. Anomalies and discrepancies are specifically detected and highlighted, allowing implausible claims—such as incorrect material entries—to be identified early.

Background scanning of images

PX FraudCheck analyzes submitted images in the background for potential anomalies. This includes detecting duplicates – both internally and across the internet – as well as performing deepfake analyses. Metadata such as time and location is also checked to uncover inconsistencies.

Verification and validation of supporting documents

PX FraudCheck automatically verifies documents for completeness and accuracy. Key details such as IBAN, VAT ID, addresses, and amounts are validated and checked for discrepancies. Errors in syntax, contradictory details, or missing information are reliably detected.

Validation and Verification of claim details

PX FraudCheck automatically checks claim details for plausibility regarding quantity, material, price, and quality. Anomalies and discrepancies are specifically detected and highlighted, allowing implausible claims—such as incorrect material entries—to be identified early.

Background scanning of images

PX FraudCheck analyzes submitted images in the background for potential anomalies. This includes detecting duplicates – both internally and across the internet – as well as performing deepfake analyses. Metadata such as time and location is also checked to uncover inconsistencies.

Verification and validation of supporting documents

PX FraudCheck automatically verifies documents for completeness and accuracy. Key details such as IBAN, VAT ID, addresses, and amounts are validated and checked for discrepancies. Errors in syntax, contradictory details, or missing information are reliably detected.

Key Benefits at a Glance

Maximum Fraud Protection

Maximum Fraud Protection

A combination of AI-powered analysis and expert knowledge detects even the most complex attempts at fraud. This ensures you always maintain full control over all claims.





Multidimensional Analysis

Multidimensional Analysis

Content, images, and supporting documents are analyzed simultaneously. Irregularities are immediately flagged, and suspicious cases are forwarded to the appropriate team.





Cross-Insurer Detection

Cross-Insurer Detection

Fraud attempts become apparent even if they have already occurred with other insurers.






Reducing Your Team’s Workload

Reducing Your Team’s Workload

PX FraudCheck ensures that exactly the right cases are assigned to the right team. Through prioritization and routing, only claims that raise red flags are forwarded for further processing.

This allows your team to focus on the truly relevant and complex cases.


Seamless Integration

Seamless Integration

PX FraudCheck integrates directly into existing document verification processes—without lengthy implementation, additional effort on your part, or new process steps.





Measurable Cost Reduction

Measurable Cost Reduction

Fraudulent or unjustified claims are reliably identified, thereby minimizing payouts and maximizing savings potential.