Amazon's Finance Technology teams have developed an AI-powered system using AWS services to manage complex regulatory inquiries. This solution leverages Amazon Bedrock with knowledge bases and retrieval augmented generation (RAG) to quickly find and synthesize information from vast, fragmented document repositories. The system supports multi-turn conversations with Claude Sonnet 4.5 and includes robust observability features to ensure accuracy and compliance. AI
IMPACT Demonstrates how generative AI and RAG can automate complex information retrieval and synthesis for regulatory compliance.
RANK_REASON This is a case study of a company using existing AI tools to solve a business problem, not a new model release or core research.
Read on AWS Machine Learning Blog →
- Amazon Bedrock
- Amazon DynamoDB
- Amazon Finance
- Amazon OpenSearch Serverless
- AWS
- AWS Lambda
- Claude Sonnet 4.5
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