Loading
A digital innovation catalyst that empowers enterprises to champion the digital journey making process with a composability first approach.
Copyright © 2025. All Rights Reserved.

Fraud Pattern Detection

Uncover Hidden Fraud with Advanced Pattern Detection Technology

Description

Fraud Detection Analytics
Introduction:

Fraudulent claims pose a significant financial threat to businesses. Our Claims Fraud Detection addresses the growing need for early fraud identification in claims management, safeguarding businesses from financial losses by analyzing historical and real-time claim data.

Overview:

The Fraud Pattern Detection uses machine learning to analyze past claim data and identify suspicious patterns. It flags high-risk claims for review, reducing potential financial loss and improving claim accuracy. Flagged claims can be automatically sent for review, or workflow features can be established for escalating claims based on risk level. This solution helps detect and prevent fraud, making the claims process more secure and efficient.

Benefits:

This module benefits claims managers by helping them proactively prevent fraudulent claims from advancing, reducing financial losses, and improving operational efficiency. It helps reduce fraud-related costs and enhances the integrity of the claims process for both insurers and claimants.

Resources

Features

Ss1_14 of 20.svgEnhance Claims Integrity_Fraud Detection AnalyticsFraud Detection Algorithm_Fraud Detection AnalyticsMinimize Fraud Exposure_Fraud Detection AnalyticsSs2_14 of 20

The Fraud Pattern Detection Engine uses machine learning to continuously monitor and flag high-risk claims in real-time, preventing fraudulent activities and reducing financial losses. This AI-powered solution enhances fraud detection accuracy while improving claims integrity and operational efficiency

Features and Capabilities:

Resources

Key Information

Platform Modules:

Version: 24.09

Version: 24.05

Version: 24.03

Version: 24.07

Version: 24.05

Version: 24.02

Additional References

Prevent fraudulent claims with advanced machine learning. Real-time detection of suspicious patterns ensures financial protection, improves claims accuracy, and enhances operational efficiency for insurers and claimants alike