How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock

Key points

• The company built a multi-agent AI system that transforms database operations from reactive firefighting into proactive, self-orchestrating workflows.1
• The system, called Orion AI, uses Amazon Bedrock and Strands Agents, an open source agent orchestration framework from AWS, to coordinate specialized agents.1
• Before Orion AI, Cornerstone’s Enterprise DataOps team would spend up to 45 minutes per database incident manually querying system views and cross-referencing logs before handing off across teams.1
• In this post, we walk through the operational problem Cornerstone faced, how they designed Orion AI, the outcomes they measured, and the design decisions other teams can reuse.1

Sources (1)

• [1]How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock
  AWS Machine Learning Blog · Oct 7, 03:38 PM

  Cornerstone OnDemand, Inc. (Cornerstone) is a global leader in workforce readiness solutions, serving 140 million users across 186 countries.

  The company built a multi-agent AI system that transforms database operations from reactive firefighting into proactive, self-orchestrating workflows.

Extractive summary: sentences quoted from the sources.