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

- Company: Amazon (amazon.com)
- Announced: 2026-09-29T16:14:24+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/building-an-ai-powered-contract-intelligence-platform-with-amazon-quick-and-amazon-bedrock-agentcore/
- Record: https://forck.live/items/15009-building-an-ai-powered-contract-intelligence-platform-with-amazon-quick-and
- Subject: Bedrock / Nova
- Models affected: Claude Sonnet, Claude Haiku

Amazon published a guide describing a contract intelligence platform built on AWS that uses AI agents (Claude Sonnet for extraction, Claude Haiku for verification) to extract structured data from PDF contracts, with Amazon Textract as a tiebreaker for signature detection. The system stores results in Aurora PostgreSQL and provides portfolio-wide aggregation via embedded dashboards and natural language queries, addressing the limitation of RAG-based tools that cannot sum or compare across many documents.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/building-an-ai-powered-contract-intelligence-platform-with-amazon-quick-and-amazon-bedrock-agentcore/:

> The answer is structured extraction, not better retrieval. To answer aggregation questions across hundreds of documents, you extract the key fields into a database, then query them with analytics tools built for exactly that.

---

Record: https://forck.live/items/15009-building-an-ai-powered-contract-intelligence-platform-with-amazon-quick-and
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md