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Traditional fraud detection techniques fail to uncover collusion between different entities involved in a claim fraud. Discovering the ring requires joining a number of tables in a complex schema such as Accidents, Vehicles, Owners, Drivers, Passengers, Pedestrians, Witnesses, Providers, and joining these together multiple times— once per potential role— in order to uncover the full picture.

 Fraud cases missed due to lack of rules leveraging social networks can cause large dent to the exchequer of an insurer eroding shareholder value.

Key Features

Hybrid approach for Fraud detection – Simple Business Rules as well Social network based rules

Model multiple business entities in a claim along with their relationships

Leverage Graph data science for community detection

Simple investigation UI for alert disposition

Advanced investigation capability for entities linked to a claim

Ability to define and/or modify rules

Historical analysis of alerts to optimize rules

What benefit will it provide?

Unearth hidden fraudulent claims improving detection and increasing fraud investigation

Why is it required?

When it comes to identifying complicated fraud, including links between many parties, traditional fraud detection tools hardly scratch the surface. In addition, the bandwidth needed for inquiry is a headache due to overwhelming false positives from older methodologies.

What does it do?

IntelliDetect empowers Fraud Investigation Units with a tool that not only runs automated rules but also provides all the information required for investigation at their fingertips.

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