Teaching
Your team, taught to use AI
on the work they do.
We teach your people in their own systems, on their own jobs. It is not a prompt workshop.
What we teach
The habit first. The tools after.
Four things, in this order. Skip one and the rest stops working.
- 01
Where AI belongs in the day, and where it doesn’t
AI helps most on a few specific jobs. We find those jobs in each person’s actual week.
- 02
Context is the whole game
How to give AI what it needs: documents, worked examples, house rules and tone. The input decides the answer.
- 03
Checking the work
How to spot the confident wrong answer, what to check before it leaves, and what never to hand over.
- 04
Making their own tools
How to make small tools for their own jobs, and when a tool belongs on the roadmap instead.
In the room
Taught in person, on your own work.
Sessions run with the people who will use it, in the systems they already work in.
Small groups, their own jobs on the table, and time to try it with us in the room.
How it runs
Small groups, real work, someone left holding it.
Per cohort, per department, on your own work.
- 01
Baseline
A short, honest read on where each team really is. Nobody starts in the same place.
- 02
Sessions by department
Small groups on live work, in their own systems. Tax does tax work, payroll does payroll work.
- 03
AI champions
One or two people per department who carry it on, with a line back to us.
- 04
A library they own
The prompts, patterns and tools your team collects along the way, kept somewhere they control so it survives people leaving.
Where this doesn’t work
Three ways this fails, worth knowing first.
Most AI training changes nothing. Here is when that happens.
- 01
Training without live work doesn’t stick
With nothing waiting on Monday, it fades inside a fortnight. Teaching runs beside real solutions, not as an away-day.
- 02
Scattered data stalls it
Nothing written down, data in six places: your team hits the same wall we would. Clarity comes first.
- 03
Nobody becomes an engineer overnight
The goal is capable people who make useful small tools. Not an in-house development team.
Leave your team able to use AI on their own work.
We’ll talk through your teams, your systems and where to start.