Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore
Amazon Web Services Konala McGrath
Amazon Quick and Amazon Bedrock AgentCore were used to build an AI contract intelligence platform that extracts contract fields with AI agents, verifies them with a second model and Amazon Textract for signature detection, and stores results in a database for querying. The pipeline processes a contract in seconds under typical conditions. Instead of relying on retrieval-augmented generation that can return wrong portfolio totals, the system uses structured extraction for aggregation and keeps a document knowledge base for precise single-contract questions.
Why it matters
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.