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Generate suspicious transaction report drafts for financial compliance using generative AI

Machine Learning Blog



This article discusses how financial institutions can use AWS generative AI tools like Amazon Bedrock to automate the creation of suspicious transaction reports (STRs) for compliance purposes.

  • Utilizes Amazon Bedrock Knowledge Bases and Agents to generate draft compliance reports
  • Employs Retrieval Augmented Generation (RAG) to enhance model responses with contextual information
  • Enables automated report drafting by gathering transaction details, correspondence logs, and entity information
  • Includes a solution architecture using AWS services like Lambda, S3, and OpenSearch Service
  • Provides options for deployment using AWS CDK or manual configuration

The solution streamlines the compliance reporting process by using generative AI to efficiently draft suspicious transaction reports, reducing manual effort and potential human error.



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