From Sherlock Holmes to Supercomputers: How AI is Cracking the Code on Fraud
Insurance fraud is one of the biggest financial drains on the industry, costing an estimated $80 billion annually. Traditional fraud detection methods rely heavily on manual investigation, outdated rule-based systems, and fragmented data analysis—leaving insurers vulnerable to sophisticated fraud schemes. The sheer volume of claims, coupled with the evolving tactics of fraudsters, makes it impossible for human investigators to keep up. By the time fraud is identified, it is often too late, resulting in massive financial losses and increased premiums for honest policyholders.
The solution? AI-powered fraud detection. Sandhata’s ClaimsMadeEasy, built on the Agentic AI framework, is redefining how insurance companies handle claims by eliminating fraud in real-time—without human intervention.
