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    AI-Powered FNOL Intake Chatbot | Bedrock + LangChain for Insurtech

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    Sold by: QyrosCloud 
    QyrosCloud's conversational FNOL intake solution replaces static insurance claim forms with an AI-driven chatbot built on Amazon Bedrock and LangChain. Proven to reduce FNOL completion time by 60–75% and manual review effort by 40–55%, this containerized solution delivers dynamic question routing, real-time API submission, centralized prompt governance, and CloudWatch observability — deployed on AWS with compliance controls built in.

    Overview

    First Notice of Loss (FNOL) intake is a critical touchpoint in the insurance claims lifecycle — yet most carriers still rely on rigid, form-based workflows that frustrate claimants and create downstream data quality issues. QyrosCloud's AI-Powered FNOL Intake solution replaces static forms with a conversational agentic chatbot that dynamically adapts to claimant responses in real time, guided by Claude 3 Sonnet via Amazon Bedrock.

    Built on LangChain Agents with Tools, the solution manages end-to-end conversation flow, determines when sufficient FNOL data has been captured, and triggers seamless API submission to downstream claims systems. Prompts are stored securely in AWS Systems Manager Parameter Store, enabling iterative governance updates without code redeployment. The entire stack is containerized with Docker and deployed on Amazon EC2, with Amazon CloudWatch monitoring FNOL submission latency, AI response time, completion rates, and error fallback events.

    This solution is purpose-built for property & casualty insurers, MGAs, and insurtech platforms seeking to modernize claims intake without sacrificing compliance or data integrity. AWS services used include: Amazon Bedrock, Amazon EC2, AWS Lambda, AWS Systems Manager Parameter Store, and Amazon CloudWatch.

    Highlights

    • Reduce FNOL completion time by 60–75% with an AI-driven conversational intake chatbot built on Amazon Bedrock and LangChain — replacing static forms with dynamic, adaptive questioning that guides claimants in real time and submits structured data directly to downstream claims systems via API.
    • Enterprise-grade governance and compliance built in — prompts stored securely in AWS Systems Manager Parameter Store, Bedrock guardrails enforcing safe and compliant responses, full audit logging of interactions, and CloudWatch observability across FNOL submission latency, completion rates, and fallback events.
    • Containerized and cloud-native deployment on Amazon EC2 with Docker enables horizontal scaling to handle claim volume spikes without infrastructure overhead — purpose-built for property & casualty insurers, MGAs, and insurtech platforms on AWS.

    Details

    Delivery method

    Deployed on AWS
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