An AI workshop your team still uses a month later.
An AI workshop should change how your team works. Too many just fill an afternoon. Ours runs on the 30/70 rule: 30% tools and process, 70% people.
Why most AI workshops fail
The standard AI workshop is an inspiring afternoon. Demos land, energy spikes, and two weeks later nothing about the work has changed, because nothing about the workflow was ever touched. The problem isn't the teaching. It's that generic examples don't survive contact with a real Tuesday.
The format
- Pre-work. Before anyone enters a room, we map the team's actual tasks and pick the workflows the session will build on.
- Stakeholder alignment. A short leadership session sets the goals and the boundaries: where AI fits, where it doesn't, what responsible use means here.
- The hands-on session. Your people build with AI on their own work, not on toy examples. They leave with things they made, running.
- 30 days of activation. Support while the new habits take hold, because the month after the session decides whether any of it sticks.
Standard or Extended
Standard is the focused format: one team, one session, the full pre-work and activation tail. Extended is for larger groups, multi-session formats, or when leadership wants executive-level work alongside the team training. Both end with the same deliverables; Extended just covers more ground.
What your team leaves with
Working prompt libraries built on their actual tasks. SOPs for the workflows the session redesigned. And the habit of reaching for AI on the right problems, which is the asset the other two protect. We measure success by real tool usage a month later, not by the feedback form on the way out.
Teams that want the enablement to keep expanding after the 30 days roll into the fractional head of AI retainer.
FAQ
What happens in an AI workshop?
An AI workshop with us starts before the room: pre-work maps your team's actual tasks, a stakeholder session aligns the goals, then the hands-on session has people building with AI on their real work. After that comes 30 days of activation support. The session sits in the middle of the engagement; the pre-work and the 30-day tail are what make it stick.
How is this different from online AI training?
Online courses teach generic skills to individuals; this workshop trains your team, together, on their own workflows. ChatGPT training for teams works the same way here: the prompts, SOPs, and libraries your people leave with are built on their actual tasks, so they keep getting used.
Standard or Extended, which do we need?
Standard fits a single team and a focused format; Extended adds room for bigger groups, extra sessions, or executive AI training alongside the team work. If you're unsure, the scoping call settles it fast.
Is this an AI bootcamp for teams?
An AI bootcamp for teams is the closest comparison to this workshop, with one difference: bootcamps run days of generic curriculum, while ours is compressed and built on your workflows. Same intensity, less filler, and a 30-day tail so it sticks.
How do you measure whether it worked?
We measure real tool usage after the session, not exit surveys. If what your team learned isn't showing up in their work a month later, the workshop didn't work. That's the bar we hold it to.
Train the team on their own work.
The scoping call maps your team's tasks and picks the right format. The workshop builds on what your people actually do all day.