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AI training

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.

Format
Standard or extended, 1 day
Built on
Your team's real tasks
After
30 days of activation support
Hands-on workshop session

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

1

Pre-work

Before anyone enters a room, we map the team's actual tasks and pick the workflows the session will build on.

2

Stakeholder alignment

A short leadership session sets the goals and the boundaries: where AI fits, where it doesn't, what responsible use means here.

3

The hands-on session

Your people build with AI on their own work, not on toy examples. They leave with things they made, running.

4

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

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.
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 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.
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.
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.

Related services

Fractional Head of AI Keeps the enablement expanding after the 30 days.AI Sprint Builds the workflow the room asked for.

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.