Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore
Manually extracting data from hundreds of vendor contracts doesn't scale, and RAG chat tools fall short on portfolio-wide questions. This post shares a contract intelligence platform on AWS that uses AI agents to extract and verify contract fields, then answers aggregate and single-contract questions through Amazon Quick analytics.
The story outlines the challenges faced by contract directors when dealing with hundreds of vendor contracts, each containing critical data that needs manual extraction and analysis. AI chat tools help with single contracts, but at scale, they struggle to provide accurate aggregated results. Structured extraction using AI agents and a database is proposed as a solution, while the original RAG architecture is deemed insufficient for handling aggregation questions across multiple documents.
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