# Cornerstone OnDemand cuts database diagnosis time by 78% with Amazon Bedrock

Digest AI · Enterprise & Industry · published 2026-10-07T15:38:28Z

Canonical: https://digestai.news/story/cornerstone-ondemand-cuts-database-diagnosis-time-by-78-with-amazon-be

## Summary

Cornerstone OnDemand, a workforce solutions provider with 140 million users, built **Orion AI**, a multi-agent system using **Amazon Bedrock** and **Strands Agents** to automate database operations. Before Orion AI, its **Enterprise DataOps team** spent up to **45 minutes per incident** manually diagnosing issues across tools and logs. The new system reduced diagnosis time to **10 minutes**, a **78% improvement**, while also automating **10+ manual steps** in database lifecycle workflows and cutting alert noise by **65%**. A **three-person team** developed Orion AI in **six months**, integrating specialized agents for diagnostics, lifecycle management, and real-time monitoring, all while maintaining data privacy through AWS controls.

Orion AI works by routing requests to domain-specific agents—each handling a narrow function like SQL diagnostics or blocking analysis—using **keyword-based routing** for speed and **semantic search** for ambiguous queries. The system bypasses conversational memory for live metrics to ensure accuracy. Deployed on **Amazon ECS**, Orion AI also includes guardrails for safety, observability via **CloudWatch and X-Ray**, and cost tracking. Cornerstone shares its design principles—**domain-splitting agents, hybrid routing, and session-scoped memory**—as reusable patterns for other operations teams.

## Key points

- Cornerstone OnDemand’s Orion AI slashed database diagnosis time from 45 to 10 minutes, a 78% reduction
- System automates 10+ manual steps in database workflows and reduces alerts by 65% via deduplication
- Built with Amazon Bedrock and Strands Agents, deployed on AWS ECS in six months by a three-person team

## Why it matters

Orion AI demonstrates how **multi-agent systems** can transform reactive IT operations into proactive, automated workflows, cutting manual labor and improving real-time diagnostics. Its modular design and AWS integration offer a blueprint for other enterprises to adopt similar efficiency gains in database and DevOps tasks.

## Sources

1. [How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock](https://aws.amazon.com/blogs/machine-learning/how-cornerstone-ondemand-cut-database-diagnosis-by-78-with-amazon-bedrock) (AWS Machine Learning Blog, 2026-10-07, primary source)

## Cite

Digest AI, "Cornerstone OnDemand cuts database diagnosis time by 78% with Amazon Bedrock", 7 October 2026, https://digestai.news/story/cornerstone-ondemand-cuts-database-diagnosis-time-by-78-with-amazon-be

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