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

TL;DR

Natera built SWARM, an agentic AI system on Amazon Bedrock AgentCore that captures institutional lab-operations knowledge and deploys it at scale. This post walks through the full architecture, from knowledge base construction to deployment and evaluation, delivering about 130x faster first response and 96.2% automated coverage across support tickets.

Nauti's Take

For small teams, the real test is the evaluation discipline: do your support tickets contain enough repeatable process knowledge, and does automated coverage hold on edge cases? The 130x faster first response is interesting as a case-study result, but without an independent comparison it is difficult to generalize to other workloads.

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