Case Study

# How a global premium automaker powers governed data products and agentic AI with Collate®

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Companies that grew through departmental autonomy end up paying for it later: overlapping catalog tools, inconsistent metadata, and no shared definition of what good data looks like. Point AI agents at an estate like that and semantic ambiguity becomes the blocker, where the same term can mean a production order to one team and a sales order to another.

Learn how a global premium automaker migrated from self-hosted OpenMetadata to a managed context layer inside its own cloud, retired a legacy commercial catalog, and built the semantic foundation its AI agents needed. Inside this case study:

*   Why self-hosting OpenMetadata at enterprise scale pulled a specialized platform team toward patching, upgrading, and scaling instead of governance work
*   How a BYOC deployment cleared a strict enterprise security bar, running inside the company's own cloud with credentials in its own key vault and warehouse access mapped to its existing identity provider
*   How an auto-generated knowledge graph and ontology, exposed through API and MCP, lets AI agents reason over governed definitions instead of a custom-built graph database