Insurance Fraud

Fraud detection

• Find fraud from FNOL through the life cycle of a claim using machine learning and business scenarios.
• Detect more fraud and reduce false positives by processing all data – in real time or in batch – using a powerful analytics engine with embedded AI and machine learning.
• Understand analytical alerts and ensure effective triage with a user-friendly investigator interface.

Insurance fraud prevention

• Stop potential fraudsters from taking out new policies at the point of policy inception.
• Review insurance agents regularly to look for potential gaming of new business.
• Identify customers gaming the new premium through digital channels to ensure that the right risk is written and the correct premium collected for the risk.

Case management

• Arm your investigators with an intuitive interface for managing the whole case process, driven by a structured workflow.
• Provide all relevant internal and external data necessary to complete the case.
• Undertake intelligent searching of all data.

Intelligence management

• Collect, manage and analyze intelligence from any source.
• Take a standardized approach to intelligence handling.
• Improve operational efficiency and effectiveness.

Find more fraud

Implement a hybrid analytics approach that uses multilayered detection methods to find fraud at the individual claim or new business transaction, entity (customer, address, etc.) and/or network level.

Reduce false positives

Use analytics to ensure that the alerts highlighted for triage are significantly more likely to be provable fraud.

Visualize linkages among seemingly unrelated entities

Uncover previously unknown relationships using link analysis and identify new and emerging threats.

Rely on a proven solution

Join our many satisfied insurance fraud customers across the globe who have found additional fraud, achieved rapid ROI and improved the efficiency of the whole fraud process.