Case study1 min read

AI Adoption at Scale

How I got an 85-person org to 96% AI adoption, organically, with no mandate

The situation

Everyone had licenses. Almost nobody was using them.

The tools had been rolled out with a launch email and an optional webinar, and months later usage was concentrated in a handful of early adopters. Managers weren't sure what was allowed, and most people quietly assumed AI was for someone else's job.

There was no shared place for tips or tricks, either, people were saving their own workarounds in personal folders, passing them along by word of mouth. For a fully remote company, that fragmentation was the real problem.

What I did

Starting with the channels people already trusted

Rather than launch a new training program, I used what was already working: our weekly technical updates. Each week, we'd drop in a quick tip on Rovo, how to use it, how to get a question answered in real time instead of waiting on a person. A human always verified the output, but the habit itself started forming in a channel people already read, not a new one they had to remember to check.

Letting it spread on its own terms

I didn't mandate anything. I started with a small group of leaders I knew would actually use the tool, then let it move the way things naturally move in a remote org, team to team, word of mouth, someone showing a colleague a tip that saved them ten minutes. There was no formal training at first, on purpose. I wanted people to recognize what the tool could do for them, not feel like it had been handed down as a requirement.

The result

Within a year, adoption had reached 96.4% across the org, well above the 85.6% company-wide average, with nearly half of all users showing up as regular, habitual users rather than one-time tries.

96.4%

adoption, 81 of 84 team members, vs. 85.6% company-wide

39 of 81

active users are heavy users, engaging on 20+ separate days

14 → 74

active users over 10 months, organic growth, no formal training program

Monthly active users

The next frontier is agent adoption, only a small share of users have tried a Rovo agent so far, which is where the next wave of habit-building needs to go.