---
format: "aidr-story-markdown/v1"
id: "bf42ad52e5cf966e9a98b32581f842205a1c1fedeac533fd9993de797b6dfc34"
canonical_url: "https://aidr.today/bf42ad52?lang=en"
title: "Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-09-29T16:14:24.000Z"
category: "Agents"
topics: ["amazon","agent"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/building-an-ai-powered-contract-intelligence-platform-with-amazon-quick-and-amazon-bedrock-agentcore/"]
summary: "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."
---

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

> [Open the canonical story](<https://aidr.today/bf42ad52?lang=en>)

**Published:** 2026-09-29T16:14:24.000Z
**Category:** Agents
**Topics:** amazon, agent

## Summary

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\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/building-an-ai-powered-contract-intelligence-platform-with-amazon-quick-and-amazon-bedrock-agentcore/>)