How are you approaching AI tools for your end users?

Hi everyone,

AI tools are quickly becoming part of everyday workflows — and with Gemini now integrated into ChromeOS, many IT teams are having to make decisions sooner rather than later.

For some organisations, enabling AI features is about boosting productivity and helping users work smarter. For others, questions around data governance, security, user readiness, and change management mean a more cautious approach makes sense.

Google has been framing this shift around the idea of the browser becoming an intelligent, secure control point for work — where AI assistance lives closer to the user, but within managed boundaries. On ChromeOS, that shows up through Gemini being embedded into the OS experience, helping with things like summarising content, drafting text, or getting contextual assistance, without stepping outside enterprise controls.

I’m curious how people are thinking about this in practice:

• What’s your current stance on Gemini or AI tools for end users — enabled by default, restricted, piloting, or more of a wait-and-see approach?
  
  
• What factors matter most in that decision for you — security, compliance, user behaviour, demonstrated value, or something else?
  
  
• How are you thinking about balancing innovation with control as AI becomes more embedded into ChromeOS and the browser?

There’s no right or wrong answer here — it’d just be great to hear how different teams are approaching this as the landscape continues to evolve.