📌 Executive Summary (TL;DR)

We designed, implemented, and deployed a fully serverless intelligent document processing system leveraging Amazon Bedrock, Textract, Lambda, SQS, and OpenSearch Serverless. The entire ecosystem was orchestrated through CloudFormation in a three-tier architecture and developed using Kiro as an AI-driven development co-pilot.

🏗️ The Challenge: Automation at Scale The primary objective was to automate the lifecycle of thousands of documents. This required a system capable of:

Autonomous Classification 📂

High-precision OCR Extraction 🔍

Business Rule Validation ✅

Data Persistence 💾

Key Requirements:

Asynchronous Architecture: Decoupled via SQS for durability.

Cognitive Intelligence: Next-gen Generative AI reasoning.

Enterprise Security: VPC isolation, WAF, and least-privilege IAM.

🗺️ The Architecture: 3 Stacks, 0 Servers To reduce the blast radius, we modularized the infrastructure into three independent CloudFormation stacks:

Stage 1: Networking & Database…