Configure AI Automation Controls on Android Enterprise

Google gives Android Enterprise administrators new ways to manage AI automation as Gemini handles multi-step tasks across apps. These controls let you allow, restrict, or turn off agent features while protecting work data.

Organizations can adopt AI agents without exposing corporate information. Work profiles already separate personal and business data. New policies extend that protection to automated actions.

What the new controls cover

Android Enterprise management policies let administrators configure AI automation across device fleets. You can enable agents for productivity or disable them where data sensitivity requires it.

Built-in safeguards prevent personal AI agents from accessing corporate apps and data inside a work profile. Gemini can use on-screen context for complex tasks, but admins decide the boundaries.

These changes arrived alongside other enterprise updates such as unified update controls and stronger Quick Share restrictions. Check your EMM console for the exact policy names, as Google has not published every setting detail yet.

Step-by-step for IT admins

1. Sign in to your enterprise mobility management console (Android Management API, Microsoft Intune, or equivalent).
2. Open the device policy or configuration profile for your managed Android devices.
3. Locate AI or automation-related settings. Look for options covering agentic workflows or Nearby App Streaming Policy.
4. Choose Allow, Restrict, or Disable based on your security policy.
5. Apply the policy to the target user groups or device groups.
6. Test on a pilot device. Confirm that Gemini or other agents respect the restriction inside the work profile.
7. Monitor compliance reports and adjust as needed.

For on-device AICore features such as Gemini Nano, you can also disallow the system package com.google.android.aicore through app management policies.

Additional protections that work together

Screen content policies (ASSIST_CONTENT_ALLOWED) limit what assistants and Circle to Search can read. Disable screen capture to further restrict Gemini Live sharing.

Managed Google Play lets you block or allowlist AI apps. URL filtering in Chrome stops access to gemini.google.com or third-party chat sites if required.

Work profile isolation remains the foundation. Personal agents stay outside corporate data even when automation is enabled on the personal side of a COPE device.

Tips for a smooth rollout

Start with a pilot group before fleet-wide deployment. Document which workflows employees rely on so you do not block productive use cases.

Communicate the change. Users should know why certain agent features are limited.

Review Android 17 platform controls if your devices have updated. Agentic automation is blocked inside work profiles by default on newer releases.

Pair these settings with existing security features. See our guide on Android 17 Advanced Protection for complementary device hardening.

Conclusion

Android Enterprise AI automation controls give IT teams precise levers over how Gemini and other agents operate on managed devices. Combine policy settings with work profile separation and app management to keep corporate data safe while employees still benefit from AI assistance.

Check your EMM documentation and Google’s Android Enterprise help center for the latest policy options as the features continue to roll out.

Sources

• Google Android Developers: What’s new for enterprise in Android 17
• TechRepublic and 4sysops coverage of the September 2026 announcement
• Android Enterprise generative AI controls guide (PDF)
• Microsoft Intune documentation on managing AI on Android