Bringing AI to your organization requires more than just technical work. Google Workspace Head of Customer Success Patricia Day shares insights from 20 AI adoption Leaders to make your deployment a definitive win🏅.
Awesome "In fact, more than 70% of business leaders report significant implementation issues. These might stem from unclear goals, clunky rollouts, or under-investment in training. "
10 Best Practice to deploy AI at a scale.... As a customer success leader, my team and I work with hundreds of organizations who use Workspace to help them embrace an AI-first culture. And while any new way of working is an adjustment, the boost to productivity and innovation after deploying AI make this change speak for itself. To help organizations get there, we spoke with 20 recognized AI adoption leaders. Here’s what we learned about successful And much more ahead.... Thank you for sharing.
Nandakumar R
1d
Setting clear KPIs ensures we can actually see whether AI is improving efficiency or just adding another tool to manage. Thanks for sharing.
Zoi
4d
11: better call Zoi.
Requesting permission to republish this as a Nano Banana Pro infographic, with proper credit, of course.
Cukur Amet
4d
Ok
Kevin Currie
4d
This is great info and validates how crucial framing, structuring and evaluating AI transformation is.
Patricia Day's insight about AI requiring more than technical work is spot-on. I've seen the pattern repeatedly: organizations nail the pilot, celebrate the POC, then hit a wall at scale because they underestimated the change management piece. The best practices Google outlines here aren't just about infrastructure or models—they're about creating organizational readiness. The companies that succeed at AI deployment aren't necessarily the most technically sophisticated; they're the ones that invest equally in preparing their people, processes, and culture. That's the gap between deploying AI and actually getting value from it at scale.