Teaching a wholecompany to use AI
01 — Summary
Two company-wide champion groups, hands-on training for non-technical teams, and the enablement material to keep it going after I left the room.
My role — Program design, champion groups, training delivery and follow-through automation.
company-wide champion groups
annual savings from follow-on automations
02 — The problem
Everyone at the company had heard AI was important. Very few of them had any idea what to do on a Tuesday afternoon because of it. The gap was not access to tools. Licences were easy. The gap was confidence: people did not want to look foolish trying something new in front of colleagues who seemed to already understand it.
03 — What I did
- Ran two company-wide champion groups, one for OpenAI and one for monday.com, rather than trying to train everyone at once.
- Chose champions for curiosity rather than seniority or technical skill, so the people learning had someone relatable to ask.
- Built hands-on sessions around work people were actually behind on, not toy exercises.
- Produced enablement material that outlived the sessions, so a new joiner six months later still had a path in.
- Followed the programs with automation, so the new way of working had system support rather than relying on willpower.
04 — What changed
- Non-technical teams across the company using OpenAI, Anthropic and other tools with real confidence rather than performative enthusiasm.
- Automations built alongside the program cut manual effort company-wide and generated $60K in annual savings.
What I took from it
Adoption is not a training problem, it is a confidence problem. If you find the people who are already curious and make them genuinely capable, they will pull the rest of the organization along far more effectively than a mandate ever will.