Corporate AI training: how to choose a programme?
AI training offers range from a one-hour webinar to programmes lasting several days. For a small business, the useful question is less about how many tools are shown than about what the team will do differently the following Monday, and how you will check it.
By Nicolas Mathieu, founder of ClairAI.Published on .
Start from the team’s real tasks
Before comparing programmes, list the tasks that take time: preparing a proposal, writing meeting minutes, finding information in internal documents, answering recurring requests. Note who does them, how often and what makes the result acceptable.
Useful training builds on that list. Exercises use documents close to the team’s own, prepared before the session, rather than generic examples that are quickly forgotten. Corporate ChatGPT training limited to a demo of the tool leaves everyone alone with their own files.
The guide to your team’s first AI use cases helps you choose the starting tasks: frequent, easy to check and without serious consequences if something goes wrong.
Learning to check, not just to ask
A well-written answer can be wrong. The main skill is therefore spotting an error: an invented figure, a source that does not say what is attributed to it, confidential information that should not have been used. A programme that spends no time on this checking mostly teaches people to produce faster.
Ask how the exercises handle difficult cases: an incomplete document, contradictory instructions, a question the document does not answer. These are the situations in which the team learns to decide whether a result can be used, corrected or dropped.
Data is part of the subject. Before the session, the usable documents should be chosen and the rules on confidential information spelled out, taking into account the tools actually approved in your company.
Measuring time saved, checking included
A text generated in thirty seconds and then corrected for forty-five minutes saves no time. To judge a training programme, compare the complete work before and after: preparation, production, review and corrections, on comparable tasks.
This comparison is prepared from the outset. Choose a few reference tasks, record how long they take with the usual method and define what an acceptable result is. After the training, repeat the same measurement on several cases, including a less favourable one.
Also keep track of quality: accurate information, missing elements, corrections requested by the reviewer. A faster but less reliable practice is not progress.
The guide to measuring the time really saved with AI sets out this method with a fictional example. A gain that has not been measured remains an impression, however sincere.
What a useful training programme contains
A good programme combines shared foundations with role-specific exercises. The foundations cover how to give context, specify the expected format and check an answer. The exercises apply these principles to the chosen tasks, at levels suited to the participants.
The format is then chosen to suit the team: a workshop on a shared task, or several sessions when roles and levels differ. A programme that is identical for everyone, whatever their work, often leaves some participants without a useful exercise. People who already build their own tools can go further, with testing and documentation.
At the end, the team should leave with reusable material: the course materials, the worked examples, a checking method and, for each use case kept, the usable data and the checkpoints. A collection of prompts without these markers soon loses its value.
The programme should also plan what comes next: who keeps the examples up to date, how a colleague who missed the session can redo the exercise and how to track time and corrections in the following weeks. A useful method must outlast the trainer’s visit.
Questions to ask the trainer
Before committing, ask a few simple questions:
- Which documents will the team work on, and who chooses them?
- How do the exercises teach people to spot a wrong answer?
- How will time saved be measured, checking included?
- What does the team leave with, and how will use be followed up afterwards?
- Are the programme, duration, price and required tools or subscriptions specified before the training?
On your side, prepare the list of target tasks, a few usable documents, the tools already in use and the participants’ levels. If colleagues are already experimenting, ask them to bring their attempts, including those that disappointed them.
The ClairAI AI training for small businesses starts from these elements: a programme prepared with you, a fixed price announced before the training, exercises on your own files and tracking of the time actually saved.