How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS
Machine Learning Blog
This article describes how Amazon Finance Technology built a scalable AI system using Amazon Bedrock to automate regulatory inquiry processing and response generation.
- Uses Amazon Bedrock Knowledge Bases with OpenSearch Serverless for document retrieval
- Implements multi-turn conversations with Claude Sonnet 4.5 via Converse Stream API
- Stores conversation history in DynamoDB for contextual awareness across sessions
- Employs query expansion strategy to handle acronyms and abbreviated user questions
- Parallel retrieval processing reduced latency from 10 seconds to under 2 seconds
- Integrates Amazon Bedrock Guardrails for PII and financial data protection
- Uses OpenTelemetry and self-hosted Langfuse for comprehensive observability
- Hierarchical chunking strategy optimizes document indexing for complex financial documents
The solution demonstrates a production-grade pattern for building secure, compliant, and scalable AI-powered knowledge workflows on AWS serverless infrastructure.
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