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id: "f421fadbe0ea31d80b8015dce0299efdacc8e1aaee4ef8fd4ebeef4245cafd91"
canonical_url: "https://aidr.today/f421fadb?lang=en"
title: "How Natera designed an agentic AI system for lab ops with Amazon Bedrock AgentCore"
lang: "en"
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published_at: "2026-11-12T21:47:07.000Z"
category: "Frameworks"
topics: ["amazon","agent","framework"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/how-natera-designed-an-agentic-ai-system-for-lab-ops-with-amazon-bedrock-agentcore/"]
summary: "Natera built SWARM, an agentic AI system on Amazon Bedrock AgentCore that captures institutional lab-operations knowledge and deploys it at scale. The system delivers about 130x faster first response and 96.2% automated coverage across support tickets."
---

# How Natera designed an agentic AI system for lab ops with Amazon Bedrock AgentCore

> [Open the canonical story](<https://aidr.today/f421fadb?lang=en>)

**Published:** 2026-11-12T21:47:07.000Z
**Category:** Frameworks
**Topics:** amazon, agent, framework

## Summary

Natera built SWARM, an agentic AI system on Amazon Bedrock AgentCore that captures institutional lab\-operations knowledge and deploys it at scale\. The system delivers about 130x faster first response and 96\.2% automated coverage across support tickets\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/how-natera-designed-an-agentic-ai-system-for-lab-ops-with-amazon-bedrock-agentcore/>)