Insurance claims are filled with challenges: data intake, classification, document handling, routing, and comprehensive analysis. Discover how agentic AI systems, driven by specialized agents, coordinate seamlessly to help automate complex workflows, accelerate end-to-end claims processing, and deliver new levels of efficiency.
This webinar explores the architecture behind collaborative multi-agent AI in insurance, showing how an orchestrator agent leverages Intake, Classification, Document, Routing, and Summary agents to deliver high-speed, context-aware claims analysis—while detecting sophisticated fraud patterns that traditional systems can often miss.
Key takeaways:
- Gain a practical understanding of multi-agent AI system architecture
- See contextual fraud detection achieving up to 40-60% reduction in losses
- Learn how to reach up to 85% detection accuracy while minimizing false positives
- Enable claims processing in minutes with scalable, automated workflows
- Bring intelligent, adaptive solutions to modernize claims infrastructure
Cloud architects will dive deep into this use case and explore best practice deployment options.
