AWS Machine Learning Blog· Ariel Jirau·· 3 d ago
How Natera designed an agentic AI system for lab ops with Amazon Bedrock AgentCore
How Natera designed an agentic AI system for lab ops with Amazon Bedrock AgentCore
AI summary
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.
Selection record
Threshold 60Official, first-handFirst 42Second 42
Not admittedSum of both 84 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：构建AgentCore智能体系统用于实验室运维
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com