The hard part isn’t piloting AI agents—it’s scaling them.

If you’ve built a successful AI pilot, you’re already ahead.

But scaling that success across teams is where complexity sets in—each new agent requires rebuilding context, duplicating logic, and reworking controls. Over time, that slows adoption and increases operational risk.

To scale AI effectively, you need more than individual agents. You need a shared foundation of your business knowledge and data that lets teams build, extend, and operate agents consistently.

A shared data foundation helps you move beyond isolated wins—so you can scale agents across your business with the context, security, and control required for real impact, and creating compounding understanding over time.

Read the white paper Microsoft IQ + Agent Data Platform to see how to:

• Turn successful pilots into scalable, repeatable solutions across teams.
• Avoid fragmentation as new agents and use cases are introduced.
• Maintain control and visibility as agent usage expands.
• Drive consistent, enterprise-wide impact—not just isolated successes.

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