Prompt: How Cornerstone OnDemand Cut Database Diagnosis Time by 78% Using Amazon Bedrock and Strands Agents

Cornerstone OnDemand built a multi‑agent AI system called Orion AI that automates database diagnostics and lifecycle tasks. By delegating work to specialized agents coordinated through a hub‑and‑spoke pattern, the team reduced manual diagnosis from 45 minutes to 10 minutes—a 78 % improvement—and streamlined cross‑team reporting and alert handling.

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Investigate the recent performance incident on {database_name} occurring around {timestamp}. Provide: (1) current blocking chains and wait types, (2) likely root cause with prioritized remediation steps, (3) a ready‑to‑use Jira ticket summary and description assigned to the on‑call engineer for {team}.

Example input

Use the placeholders in the prompt with permitted, anonymized source data.

Expected output

Follow the output format requested in the prompt and verify the result against the source.

Tools

Amazon Bedrock, Strands Agents, Amazon ECS, AWS SDK/Boto3, Jira integration via MCP, Portal‑Tools MCP server, Amazon DynamoDB, Amazon CloudWatch, AWS X-Ray