Natera shares its AgentCore-based lab operations agent system
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Natera has published the architecture and evaluation methodology of SWARM, its lab operations agent system built on Amazon Bedrock AgentCore. Natera says the system reduces first response time for support tickets by about 130x, achieves 96.2% automation coverage, and enables engineers to access institutional knowledge as soon as a ticket arrives. SWARM runs on HIPAA-compliant AWS services and is bound by a Business Associate Agreement (BAA) to match Natera's compliance obligations as a clinical laboratory operator; Natera states that no patient-identifiable information enters the vector index or language models. Amazon Titan Text Embeddings and AgentCore are available in multiple AWS Regions.
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- AWS Machine Learning BlogHow Natera designed an agentic AI system for lab ops with Amazon Bedrock AgentCore
Natera's lab engineering team built SWARM (Systematic Workflow Analytics and Resolutions Manager) on Amazon Bedrock AgentCore to capture and deploy institutional knowledge for lab instrument support, using two runtimes (swarm-agent and swarm-hive) that share a versioned library of 33 skills. The system reduced average first response time from 17.4 hours to roughly 8 minutes (about 130x faster) and delivered an automated first response on 96.2 percent of tickets, measured over a 90-day production evaluation period. The post details the architecture, including a custom document pipeline with Amazon Titan Text Embeddings and Amazon Bedrock Knowledge Bases, keyless OIDC-based deployment, Jira integration via EventBridge and Amazon SQS, and a continuous evaluation loop.
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