In this post, we demonstrate how Amazon FinTech teams are using Amazon Bedrock and other AWS services to build a scalable AI application to transform how regulatory inquiries are handled. Each team using this solution creates and maintains its own dedicated knowledge base, populated with that team’s specific documents and reference materials.

The scale and complexity of managing regulatory inquiries presented several interconnected challenges:

Regulatory inquiries require synthesizing information from thousands of historical documents. These documents exist in various formats (PDF, PPT, Word, CSV) and contain domain-specific terminology. Teams needed a way to quickly locate relevant precedents and supporting information across this vast corpus while maintaining accuracy and regulatory compliance.

Regulatory inquiries require multi-turn conversations where context from earlier interactions is essential for generating accurate responses. Maintaining conversational state across sessions and tracking response evolution as team members refine answers through iterative interactions presents significant complexity.