Where should you start?
Wherever your AI creates the greatest need for control.
AI adoption rarely follows a neat governance roadmap. Agents are being built and deployed across teams, platforms and business functions, often before organizations have established consistent oversight. The challenge isn’t simply preparing for AI. It’s regaining control of AI that’s already running.
Some organizations need to discover what agents exist, who owns them and what they’re doing. Others already know their agents but need to establish clear boundaries for their behavior. And some face an immediate need to enforce rules on agents operating in production.
There’s no single starting point. You can begin by gaining visibility across your AI fleet, defining agent contracts, or introducing runtime supervision where the risks are greatest. These capabilities reinforce one another, but they don’t have to be deployed in a prescribed sequence.
The goal is to move from fragmented oversight to consistent control across your AI landscape, progressively connecting visibility, governance, and enforcement as your needs evolve.
Start where you need control most. Whether you’re discovering agents operating across your organization, defining the rules they should follow or enforcing boundaries in production, Collibra AI Command Center helps you take control of your AI landscape.
Not sure where to focus first? Take the Collibra AI Trust Score assessment to identify your governance priorities and next steps.
More agents. More autonomy. More action. Without giving up control.
