One real workflow
The first exercise comes from a job the team is already doing every week.
AI training
Your team learns AI on the work they already do
Your team learns on real workflows from the business. The session ends with a useful system they can keep using.
What this fixes
Training only matters when the work changes
We start with the repeated tasks, slow handoffs and knowledge gaps inside the team. Then we build around those, with your tools and your constraints in the room.
Working instructions
The prompts and checks are written down. The handoff steps make the result repeatable.
A team-owned system
The people doing the job understand how it works and how to correct it when the output is wrong.
What I suggest
Pick one painful workflow first
Do not begin with a tour of every AI tool. Choose the hour the team hates repeating, and make that the first working build. Once people feel the time come back, adoption stops being theoretical.
Good questions
What people usually ask first
Is this a general AI workshop?
No. The useful part comes from your team’s real work. We choose the workflow first, then use the tools that fit it.
What happens after the session?
The team keeps the working instructions and the build from the session. If a larger system is needed, that becomes a separate recommendation.
Next step
Bring the workflow. I will build the session around it.
On the call, we will choose the best first use case and decide whether training, a build or both makes sense.