Intelligent Automation Driving Faster End-to-End Claims Processing

December 3, 2025

About the Client

A leading insurance enterprise operating across 25 countries, providing health, motor, and life insurance to over 20 million customers globally. Known for its wide agent network and extensive claims operations.

Client Challenge

The client’s claims processing function was heavily dependent on manual tasks that involved reading documents, extracting data, validating coverage, and handling approvals. As claim volumes increased, processing times lengthened, resulting in customer dissatisfaction and inconsistent decision outcomes. The absence of a unified digital workflow meant data entry errors were common, SLA violations were rising, and fraud detection remained weak. With high operational costs, slow turnaround, and a need for greater compliance visibility, the insurer required an automation-led transformation that could modernize claims, reduce human workload, and improve accuracy while maintaining regulatory alignment.

Xevyte Solution

Xevyte deployed an end-to-end intelligent automation solution anchored by its AI Data Extraction APIs to automatically interpret claim forms, bills, medical summaries, and policy information. The team built an intelligent decision engine that validated eligibility, assessed risk, and detected anomalies using AI-powered fraud models. RPA bots automated policy checks, case creation, notifications, and workflow routing, enabling straight-through processing for common claim types. Xevyte also integrated real-time dashboards to provide leadership with visibility into claims aging, SLA adherence, fraud patterns, and agent productivity, enabling proactive intervention.

Business Impact

Claims turnaround time reduced from seven days to under 24 hours. Operational cost dropped by 40%, and data accuracy improved significantly. Customer satisfaction scores rose due to faster payouts and consistent service delivery. The new digital claims model strengthened compliance, provided real-time visibility, and created a scalable foundation for broader transformation initiatives.

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