Build AI-powered file classification with AWS Transfer Family

This article demonstrates how to build an AI-powered file classification system using AWS Transfer Family and Amazon Bedrock to intelligently route files from external partners based on actual content rather than unreliable naming conventions.

• Replace brittle file name-based routing with content-aware classification using Amazon Bedrock and Amazon Nova Lite
• Extract content from text files, PDFs (with OCR), and images using Amazon Textract and multimodal analysis
• Implement event-driven orchestration with EventBridge, SQS, and Lambda for automatic file processing and routing
• Configure confidence scoring and human review workflows for files below classification thresholds
• Deploy production-ready infrastructure using CloudFormation with S3 buckets, SNS notifications, and CloudWatch monitoring
• Tune classification prompts with few-shot examples to improve accuracy without code changes

The solution eliminates silent failures from naming convention drift and format mismatches while providing operational visibility through monitoring and human review workflows.