The government welfare agency that deals with claims was experiencing a slow process in handling welfare claims. They were handling it manually, such as with paper forms, manual eligibility checks, and time-consuming multi-step approvals.

Partnering with the agency, we first understood their existing process and analyzed the gaps and requirements. After requirement analysis and research, we created a strategic roadmap. Based on analysis and the roadmap, we developed and delivered a system for automated benefit claim processing. The solution made it easy for authorities with eligibility checks, document validation, and more. Their team can easily track claim applications and generate reports using a single system.

The insurer, now one of our most prestigious clients, was experiencing fraud in claim processing. Their key issue was that they were handling a high volume of motor and health claims. The availability of limited resources and tools was creating issues in identifying genuine cases.

Considering all the facts and analyzing requirements from ground to high level, we developed and delivered an AI-powered fraud detection system to the insurance company. From anomaly detection to segregating the cases, the system works autonomously and helps in efficient decision-making. The system reviews claims, checks supporting documents, and flags high-risk cases for investigators.