How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock
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 decisions other teams can reuse.
Cornerstone OnDemand, a global workforce readiness solutions provider, implemented a multi-agent AI system called Orion AI to streamline their database operations. This system replaced the manual, reactive approach previously used by their Enterprise DataOps team, reducing database diagnosis time by 78%. With Orion AI, the team can now diagnose database issues in just 10 minutes, down from the previous 45 minutes.
The system utilizes Amazon Bedrock and Strands Agents, an open-source agent orchestration framework, to coordinate specialized agents responsible for various tasks such as database diagnostics, lifecycle operations, analytics, and support. By automating manual coordination and integrating with existing tools, Orion AI freed up engineers to focus on resolving issues rather than coordinating efforts.
Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
