Use Case

Fraud detection in claims processing

Finances & Insurances

Neural networks are used to detect and filter out patterns of fraud cases. Conspicuous damage reports are reported to claim handlers and checked manually.

1

Process

Customers send insurance claims reports as text documents or pictures. Fraudsters assume that particularly low-value damages are not thoroughly examined.

2

Algorithm

Neural networks are used to identify and filter out patterns of past fraud cases or accumulations of conspicuous, current damage reports.

3

Decision

The selected damage reports are reported to the claim handlers and checked manually by insurance fraud specialists.