Applied To Real Work
Each person brings one real task from their own week — the use case is always their actual job.
The same foundation, then the use cases that fit the work in front of each person.
A finance manager, a salesperson, and an operations lead do not need three different AI trainings. They need the same footing — how to instruct AI, how to check it, how to keep data safe — and then a thin layer of their own real work on top. The tracks below are that layer: the same skill, applied to the tasks each role actually does. The examples come from rolling this out across our own companies.
The most sensitive track. Use AI freely for summarising, drafting, and translating — but never put confidential figures, company accounts, or deal data into it, and never use a personal account for company work. Check every number by hand.
Whatever the track, the three rules do not change: check every output, give clear instructions, and keep company data in the sanctioned company workspace. The role decides the examples; the discipline stays the same for everyone.
Each person brings one real task from their own week — the use case is always their actual job.
One shared foundation for the whole team, applied to each person's real work.
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