About This Architecture

Contract AI Workflow orchestrates multi-node document processing using AWS Step Functions, Lambda, and Bedrock to extract and classify contract data at scale. File intake triggers S3 uploads, which flow through Step Functions and SQS to a Lambda-based AI Orchestrator that invokes Bedrock for contract intelligence, extracting primary and side attachments into DynamoDB and S3. Extracted contract records spawn four linked workflows via Lambda Workflow Spawner, coordinated through EventBridge and a Step Functions Wait State that aggregates completion signals before final notification via SNS. This serverless architecture demonstrates event-driven orchestration with AI-powered document understanding, ideal for legal tech, procurement automation, and compliance workflows requiring scalable, cost-efficient processing.

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How do I build a scalable contract processing workflow on AWS using AI and serverless services?

This diagram shows a four-node AWS serverless architecture where Step Functions orchestrate file intake through S3, trigger Lambda-based AI processing via Bedrock for contract intelligence, spawn linked workflows through EventBridge, and aggregate completion signals before SNS notification. The pattern combines SQS for decoupling, DynamoDB for state management, and Lambda for orchestration to crea