The insurance claims function is under increasing pressure. Rising claims volumes, climate-driven events, growing fraud risks, and evolving customer expectations are pushing legacy systems beyond their limits. Built around manual, sequential workflows, traditional insurance claims processes are often slow, fragmented, and costly, accounting for up to 70–80% of premium outflows.
Improving efficiency within the same operating model is no longer enough. Insurers now need intelligent, adaptive claims ecosystems powered by artificial intelligence in insurance to support faster decision-making, operational agility, and real-time responsiveness.
This EXL white paper explores how insurers can move beyond traditional insurance claims automation to build AI-powered claims intelligence. It outlines how AI in insurance claims is helping carriers modernize operations through intelligent workflows, automation, and real-time decisioning. The paper also highlights two distinct transformation paths for AI powered claims processing:
- Evolutionary AI to enhance existing workflows with intelligent automation while maintaining control, compliance, and auditability
- Multi-agentic AI to redesign insurance claims operations as a continuous, collaborative intelligence system driven by autonomous agents
You’ll learn how leading insurers are using AI for claims processing and automating insurance claims processing to:
- Reduce cycle times through intelligent, agent-led workflows
- Detect fraud earlier by connecting data across systems and signals
- Enable real-time decisioning with continuous, adaptive intelligence
- Improve operational efficiency while enhancing customer experience
- Build a scalable foundation with unified data and event-driven architectures
Download the white paper to explore the architecture, implementation roadmap, and strategic considerations shaping the future of AI insurance claims processing and intelligent claims transformation.