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    Automated Claims Processing

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    Accelerate Property & Casualty claims processing with an intelligent multi-agent solution that automates First Notice of Loss (FNOL), document intelligence, fraud detection, damage and liability assessment, reserve estimation, and settlement recommendations—while keeping experienced adjusters in control of complex, high-value, and exception-based decisions. Designed for faster cycle times, consistent decisioning, and audit-ready claims operations.

    Overview

    Modernize Property & Casualty Claims Operations: Property & Casualty insurers face rising claim volumes, persistent fraud exposure, regulatory scrutiny, and pressure to resolve claims faster without adding operational cost. This professional services offering delivers an intelligent multi-agent solution that automates the end-to-end claims lifecycle—from First Notice of Loss (FNOL) through settlement recommendation—while routing complex, high-value, and exception-based claims to human adjudication. The outcome is a claims operation that moves faster, applies decisioning consistently, and produces a transparent, auditable record for every claim.

    Intelligent Multi-Agent Framework: At the core of the solution is a coordinated set of specialized AI agents, each responsible for a distinct stage of the claims journey—intake, coverage validation, document and image analysis, fraud and risk scoring, damage and medical assessment, financial estimation, and decision orchestration. Rather than operating in isolation, the agents pass context to one another under a central orchestration layer, escalating to human reviewers whenever a claim meets defined thresholds for value, complexity, or regulatory sensitivity. Every automated recommendation carries explainable reasoning, so adjusters and auditors can understand how each conclusion was reached.

    Business Capabilities: • Digitize omnichannel FNOL intake across web, mobile, chatbot, voice, and assisted channels • Automate document classification, image analysis, and evidence collection • Validate policy coverage and eligibility before adjudication • Assess vehicle and property damage using AI-assisted computer vision • Apply continuous fraud detection and risk scoring across the claims lifecycle • Generate liability assessments, reserve estimates, and settlement recommendations • Route complex or high-value claims to configurable human-in-the-loop review • Maintain end-to-end decision traceability and audit-ready records

    AWS-Native Architecture: The solution is built on AWS, using Amazon Bedrock for foundation-model reasoning and Amazon Bedrock Guardrails for responsible AI controls, with AWS Lambda for event-driven compute and AWS Step Functions orchestrating multi-agent workflows. Amazon Simple Storage Service (Amazon S3) stores claim documents and evidence, while AWS Identity and Access Management (IAM) and AWS Key Management Service (AWS KMS) enforce access control and encryption. AWS CloudTrail, Amazon CloudWatch, AWS Config, AWS Security Hub, and AWS Control Tower deliver auditing, observability, and governance across the environment.

    Highlights

    • Up to 50% faster claims cycle
    • Up to 30% lower processing cost
    • Higher straight-through processing rate

    Details

    Delivery method

    Deployed on AWS
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