Orion AI: How Cornerstone OnDemand Cut Database Diagnosis by 78% with a Three-Agent System on Amazon Bedrock

说明与用途

Cornerstone OnDemand 部署了 Orion AI，一个基于 Amazon Bedrock 的三代理系统，将数据库诊断时间从 45 分钟缩短到 10 分钟，自动化 60% 的事件，并每天处理 40+ 个警报。

问题

Manual database diagnosis at scale took an average of 45 minutes per alert, consuming most engineers’ time on repetitive tasks.

结果

In six months, Orion AI reduced diagnosis time by 78 %, automated 60 % of incidents, and enabled handling of 40+ alerts daily with structured audit trails and approval gates.

工作流

• 1. Alert ingestion via EventBridge
• 2. Diagnosis Agent analyzes alert data and metrics
• 3. Query Generation Agent creates safe, read‑only SQL and validates syntax
• 4. Executed queries via Lambda with safety checks
• 5. Remediation Agent proposes actions and requires human approval for destructive ops
• 6. Approved fixes executed within transaction boundaries
• 7. All steps logged for audit and observability

证据

Cornerstone OnDemand built Orion AI to turn database operations from reactive firefighting into proactive automation.

来源

A three-person team cut database diagnosis from 45 minutes to 10 minutes in six months using Amazon Bedrock and the Strands Agents framework.

来源

Diagnosis time dropped from 45 minutes to 10 minutes (78% reduction)

来源