Building an Insurance Policy AI Assistant using Amazon Bedrock

This article demonstrates how to build an AI-powered insurance policy assistant using Amazon Bedrock, enabling customers to understand complex policies through natural language conversations.

• Uses Amazon Bedrock Knowledge Bases with RAG to process policy documents and generate personalized responses
• Combines general policy documents with customer-specific data for tailored, accurate answers
• Employs Claude 4.5 Haiku for optimal balance of speed, cost, and quality
• Amazon Bedrock Guardrails filters inappropriate content and prevents prompt injection attacks
• Streamlit application on EC2 with CloudFront, Cognito authentication, and DynamoDB session tracking
• Customer documents stored in S3 with username-based access control for data isolation
• Open-source solution available on GitHub with CDK deployment scripts
• Reduces call center volume while providing 24/7 customer support

The solution transforms insurance policy comprehension into a competitive advantage by delivering personalized, compliant, and cost-effective customer service through generative AI.