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Architecting the future of
AI-powered insurance claims

Incremental automation isn’t enough. It’s time to rethink how 
claims should work in an AI-first world.

The insurance claims function is under pressure. Rising volumes, climate-driven complexity, and increasing fraud are pushing legacy systems beyond their limits. Built around manual, sequential workflows, today’s claims processes are slow, fragmented, and costly, accounting for up to 70–80% of premium outflows.

Improving efficiency within the same model is no longer enough. This EXL white paper explores how insurers can move beyond automation to build AI-powered claims intelligence. It outlines two distinct paths:

  • Evolutionary AI to enhance existing workflows with intelligent automation while maintaining control and auditability
  • Multi-agentic AI to redesign claims as a continuous, collaborative intelligence system driven by autonomous agents

You’ll learn how leading insurers are:

  • Reducing cycle times through intelligent, agent-led workflows
  • Detecting fraud earlier by connecting data across systems and signals
  • Enabling real-time decisioning with continuous, adaptive intelligence
  • Building a scalable foundation with unified data and event-driven architectures

Download the white paper to explore the architecture, roadmap, and strategic choices shaping the future of claims.

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