It’s a new SKU built on top of your existing Claravine setup. Your templates, lists, and workflows carry over. Enterprise Data Management adds the governance, visibility, and integration capabilities on top of what you already have.

It lets admins delegate day-to-day governance without giving full admin access. Managers can propose list value changes, which then route through a tracked approval process. Admins stay in control of what gets approved — they just don’t have to be the ones initiating every change.

The sandbox is built into Claravine, so structural changes you test there are tracked alongside your live taxonomy. You can see exactly what would change, validate it, and promote it when you’re ready. A separate test environment doesn’t have that continuity.

It’s a connection layer that lets Claravine talk directly to the AI agents and external systems your team already runs. Instead of manual exports or one-off integrations, data moves in and out of Claravine automatically as part of your existing workflows.

The AI-powered taxonomy translation tool is designed to handle legacy migration through a guided checklist, so you’re not starting from scratch manually. For API and webhook setup, some technical involvement is typical, but your Claravine account team works through implementation with you.

A few common signs: list-value changes require a group thread with no audit trail, your team maintains a duplicate version of the taxonomy in a spreadsheet, or downstream teams pull one-off exports instead of connecting to live standards. If any of those are familiar, it’s worth a conversation with your account team.