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Enterprises running lab or support operations can use this documented architecture and its reported metrics as a reference for building knowledge-base-driven agents on managed agent infrastructure, though the results are vendor-reported and specific to one deployment.
Natera, a genetic testing company, built SWARM, an agentic AI system on Amazon Bedrock AgentCore that captures institutional lab-operations knowledge and deploys it at scale. The AWS post walks through the full architecture, from knowledge base construction to deployment and evaluation. Reported results include about 130x faster first response and 96.2% automated coverage across support tickets.
Read the full article at AWS AI/ML
CoFabrix summarises and comments on this story. The original reporting belongs to AWS AI/ML.
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