Build an AI email pipeline with Amazon Bedrock and SES Mail Manager

This article demonstrates how to build a scalable email attachment processing pipeline using Amazon SES Mail Manager's new Lambda and Bounce rule actions, combined with Amazon Bedrock for AI-powered classification.

• Mail Manager traffic policies filter spam and enforce recipient allowlists at the SMTP connection level before processing
• Rule sets sequentially scan attachments with Trend Micro, bounce infected files, and archive clean messages
• Lambda functions extract attachments and classify emails using Amazon Nova Micro via Amazon Bedrock
• Attachments are routed to per-recipient S3 buckets based on email address, with results stored in DynamoDB
• Complete AWS CDK deployment available in companion GitHub repository with agentic deployment guide for AI coding agents
• Input validation includes messageId pattern matching, filename sanitization, and prompt size caps to prevent security issues
• Synchronous invocation ensures each pipeline step completes before the next begins, eliminating race conditions

The pipeline eliminates fragile polling loops and orchestration complexity, enabling declarative configuration for multi-tenant document intake at scale.