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.

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 knowDatabase diagnosis time reduced from 45 minutes to 10 minutes (78% reduction)
Three-person team deployed Orion AI multi-agent system
Built on Amazon Bedrock and Strands Agents
Six-month deployment window
Shift from reactive firefighting to proactive automation
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…