AgentsThe story, in brief

How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock

78% faster. Cornerstone OnDemand's three-person team cut database diagnosis from 45 minutes to 10 with multi-agent automation on Bedrock.

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AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Concrete agent deployment case study: measured reduction in mean-time-to-diagnosis via multi-agent orchestration on managed infrastructure. Shows scaling pattern other ops teams can replicate.

The key facts

6 to know
  1. Database diagnosis time reduced from 45 minutes to 10 minutes (78% reduction)

  2. Three-person team deployed Orion AI multi-agent system

  3. Built on Amazon Bedrock and Strands Agents

  4. Six-month deployment window

  5. Shift from reactive firefighting to proactive automation

  6. Design decisions documented for reuse by other teams

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents, to turn database operations from reactive firefighting into proactive automation. A three-person team cut database diagnosis from 45 minutes to 10, a 78% reduction, in six months. See the design…
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