Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore

What happened

Manually extracting data from hundreds of vendor contracts doesn't scale, and RAG (letting a model look information up instead of relying on memory) chat tools fall short on portfolio-wide questions. Each one is packed with critical data: contract values, expiration dates, signing status, and key contacts.

So you turn to AI chat tools and enterprise Q&A solutions. You upload a contract, ask questions in natural language, and for a single document, or even a handful, it genuinely works well.

The real challenge shows up at scale, across hundreds of contracts. Most of these tools rely on a technique called Retrieval Augmented Generation (RAG).