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Cornerstone OnDemand deployed Orion AI and cut database diagnosis time from 45 to 10 minutes, according to internal measurements

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Cornerstone OnDemand deployed Orion AI, which coordinates specialized agents for operational tasks. According to internal measurements, it shortened database diagnosis time from 45 to 10 minutes. The system uses Amazon Bedrock and Strands Agents; a three-person team built it in six months.

Cornerstone OnDemand deployed Orion AI for database diagnosis and the coordination of operational tasks. According to internal measurements published on AWS Machine Learning Blog, the time needed to diagnose a single database incident fell from approximately 45 to 10 minutes, a reduction of 78 %. A three-person team built the system in six months.

A coordinating agent distributes work among specialized agents for infrastructure monitoring, database diagnosis and management, or other operational tasks. Amazon Bedrock provides access to models, and the open source framework Strands Agents handles orchestration. The system runs as containerized services on Amazon Elastic Container Service. Engineers use a web application to submit questions, verify findings, and approve actions.

Three specialized agents collaborate on diagnosis. The system then recommends remediation and creates a populated task in Jira for the appropriate on-call engineer. According to Cornerstone OnDemand, it also eliminated a fifteen-minute delay in information handoffs between SRE and the data team and reduced the median number of duplicate alerts by 65 %.

What changed

Why it matters

The case study offers operations teams a concrete example of connecting models, specialized agents, and existing tools when investigating database incidents. The reported results apply to the deployment at Cornerstone OnDemand; on their own, they do not demonstrate the same speedup in another environment or a reduction in the total time needed to resolve an incident.

Two audiences, two different impacts

What this means

01

For individuals

For engineers using Orion AI, some work shifts from manually reviewing database views and logs to submitting requests, verifying findings from agents, and approving proposed actions.

What to do When using Orion AI, verify its findings before approving the proposed action.
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02

For a business

The operational workflow at Cornerstone OnDemand connects diagnosis, recommendations for remediation, and task assignment to the responsible staff member. According to internal measurements, it shortened diagnosis time and reduced delays between teams and duplicate alerts.

Processes
What to decide When evaluating a similar deployment, measure diagnosis time and delays in information handoffs between the operations and data teams.
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Amazon Bedrock Cornerstone OnDemand Orion AI SQL Server Strands Agents

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Event sources

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1
AWS Machine Learning Blog primary source · first detected How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock