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    AI-Orchestrated Homeowners Claims Solution on AWS

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    An agentic AI solution that automates the end-to-end Homeowners (Personal Lines P&C) claims lifecycle on AWS — from FNOL intake through investigation, loss assessment, fraud detection, vendor coordination, and settlement. Built on Amazon Bedrock and Bedrock AgentCore, the solution orchestrates 47 specialized AI agents across four personas (Policyholder, Claims Adjuster, SIU Investigator, and Vendor Manager) to reduce manual effort, accelerate claims cycle times, and improve fraud detection and customer experience for P&C insurers. The core solution is already built and production-validated; this offering covers its deployment and validation on AWS.

    Overview

    Pricing & Duration: 3-month AWS deployment and validation engagement (estimated AWS infrastructure cost ~$1,655.50/month → ~$4,966.50 for the 3-month Sandbox window; final professional-services engagement fee to be confirmed with the Hexaware practice team).

    Overview: Hexaware's claims automation solution modernizes the Homeowners (Personal Lines P&C) claims lifecycle using a multi-agent architecture orchestrated through Amazon Bedrock AgentCore. The solution is already built and running (originally on Azure) across all four personas and is now being deployed and validated on AWS.

    Key features: Voice/text FNOL intake with AI extraction and structuring; automated policy validation, segmentation and triage; AI-driven severity, complexity and fraud scoring; automated loss assessment with repair-vs-replacement and reserve recommendations; SIU fraud investigation workflows; smart vendor matching via a Vendor Intelligence Score; and a Claims Orchestration/Brain Agent coordinating all 47 agents with human-in-the-loop approval at key decision points. Benefits: faster FNOL-to-settlement cycle times; reduced manual document review and adjuster effort; improved fraud detection and reduced claims leakage; more consistent vendor selection and cost control; and improved policyholder visibility and satisfaction.

    Expected outcomes: 40–50% reduction in manual intake effort, 30–40% faster settlement cycles, and 60–70% reduction in manual document review effort versus the current-state process (validated in the MVP/MVP+ build).

    Key AWS resources used: Amazon Bedrock, Amazon Bedrock AgentCore, Bedrock Guardrails, Bedrock Knowledge Bases, Amazon RDS (PostgreSQL), Amazon S3, Amazon OpenSearch Service, Amazon Redshift, Amazon Neptune, AWS Secrets Manager, Amazon EC2, Amazon CloudWatch, Amazon SNS, AWS WAF, and AWS KMS.

    Highlights

    • Production-proven: 47 AI agents across 4 personas already built and validated, now being deployed on AWS.
    • End-to-end coverage: automates the full Homeowners claims lifecycle, not a single step.
    • Fast time-to-value: AWS deployment and validation in as little as 3 weeks since the core solution already exists.

    Details

    Delivery method

    Deployed on AWS
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