What will your team work on?
A proposed sequence, adapted to your tools, experience and available time.
Define the role
Agree what champions can advise on and what they must escalate. Ensure their manager protects time for the role.
Facilitate a short exercise
Practise explaining a task, guiding participants and helping someone recover from an unhelpful AI answer.
Build the shared library
Turn examples into short, reviewable use-case sheets. Include required data, tested instructions, limitations and an owner.
Keep the network useful
Review recurring questions and obsolete guidance. Track requests resolved and cases that needed specialist help.
What does practice look like?
An internal facilitation kit
Facilitate a short document-summary exercise for colleagues. One participant plays the beginner, another the reviewer. Improve the instructions from their questions before adding the exercise to the kit.
A teaching example. It does not describe a completed client engagement.
| Work product | What makes it usable |
|---|---|
| Source material | Approved inputs, with the useful context retained. |
| Reusable instructions | A clear task, constraints and expected output format. |
| Review checklist | The checks a colleague must perform before using the result. |
| Next experiment | An owner, an example and criteria for deciding whether to continue. |
What should you bring?
Bring a concrete question, a representative example and the rules your team already follows. The purpose of preparation is to spend the session practising, with the right accounts, permissions and source material in place.
- A task that someone on the team does regularly.
- An approved AI tool, or a decision about which environment to use.
- A sample that can be shared safely, preferably stripped of sensitive data.
- A reviewer who knows what a good result should look like.
The final proposal sets the duration, group size, trainer, scope and fee. Tool subscriptions and any follow-up are specified separately.
