Learn AI through your team's own tasks
A draft reads well but contains an incorrect statement. Meeting notes are long and difficult to use. A piece of research lacks verifiable sources. Tasks like these provide a practical way to explore where AI can help and what people still need to check.
Start at the right level
We clarify prior knowledge, roles, typical tasks and approved tools. The training is then designed around the participants. Introductory sessions do not require programming skills unless we agree a specifically technical format.
What we practise together
Participants define tasks, provide relevant context and compare different outputs. They learn to identify uncertainty, check statements against sources and revise results before passing them on.
Data selection, internal rules and responsibilities are part of the work. Exercises use suitable, approved material. Sensitive documents are not entered into external tools without the necessary arrangements.
Formats to suit the need
Options include an introduction for a team, a workshop for managers or further training for employees who support others. Several shorter working sessions or a regular support session may also be useful.
During a knowledge handover, support might help employees organise their notes or prepare an initial description. They remain involved in reviewing its accuracy.
What remains after the session
The agreed deliverables can include exercises, useful working templates, review questions and a short summary of the rules developed together. Open questions about tools, data or approvals are recorded.
We discuss what needs further practice and who participants can turn to when they are unsure.
AI literacy and responsibility
Training can support your organisation's AI literacy measures. The measures you need depend on your role, use of AI and operating context. A single workshop does not establish blanket legal compliance.
Read about AI literacy and the EU AI Act →
Related: Implementation and prototyping and Responsible AI use.