Discover how insurers can detect fraudulent claims faster, enhance accuracy, and streamline claims operations.

Insurance fraud results in massive financial losses for the industry every year. The FBI estimates that non-health insurance fraud costs American consumers over $40 billion annually. As an insurer, you face several technological obstacles in combating fraud, including early detection, managing a large volume of claims, and integrating with multiple systems.

This use case examines how sophisticated AI can help you bolster fraud detection capabilities, maximize savings, and minimize risk.

You’ll see how AI-driven solutions help you:

• Improve fraud detection accuracy and catch fraudsters faster
• Decrease claims leakage and enhancing your loss ratio
• Increase fraud case referral accuracy
• Create claims processing efficiencies, minimizing workloads and improving employee experiences
• Improve brand image by demonstrating a commitment to protecting policyholders