Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore
AWS detailed an architecture for building an AI-powered contract intelligence platform using Amazon Quick and Amazon Bedrock AgentCore to extract, verify, and analyze contract data.
Why this signal matters
The AWS Machine Learning blog shared an approach for an AI-powered contract intelligence platform to address the scalability limits of manual extraction and typical RAG chat implementations on portfolio-level queries. The platform leverages AI agents via Amazon Bedrock AgentCore to extract and verify specific contract fields, integrating with Amazon Quick analytics to enable both aggregate portfolio-wide analysis and single-contract queries.
Actionable summary
AWS Machine Learning blog published an architecture combining Amazon Bedrock AgentCore and Amazon Quick to extract, verify, and query contract fields for both single-contract and portfolio-wide analytics.
- Agent usefulness
- 75/100
- Confidence
- 90%
- Canonical data
- JSON + Markdown
What builders should check
- Evaluate the proposed Amazon Bedrock AgentCore and Amazon Quick architecture for contract extraction and aggregate analytics use cases.