Hands-free first notice of loss: Using Strands Agents and Amazon Bedrock AgentCore Browser Tool for intelligent claims intake | Amazon Web Services
Turning multimodal first notice of loss (FNOL) evidence into tagged, decision-ready intake so adjusters start with context instead of raw artifacts.
Manual FNOL processing consumes significant expert time on repetitive tasks because unstructured, multimodal evidence must be interpreted through portals designed for human interaction. Photos captured in the field, walkaround videos, scanned documents, and dictated or recorded notes all enter the system at intake, where decisions directly influence claim cycle time, downstream accuracy, and customer experience.
Across insurance lines, this moment is deceptively complex. FNOL intake is often described as “just opening a claim,” but in practice, it’s where large volumes of unstructured data must be interpreted, validated, and correlated before any meaningful decisions can begin.
The challenge is significant: claims professionals spend excessive time on repetitive intake validation. Navigating portals, verifying evidence completeness, and interpreting artifacts before applying their expertise to higher-value decisions takes considerable time. Industry observations suggest...
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