Contents5
Many employees already use an AI assistant, often without ever learning how. They use it to rephrase an email or summarise a document, and stop there. The real potential lies elsewhere: in the tasks that come back every week and take time without needing judgement. Learning AI means learning to spot those tasks and hand them over properly.
In short
You don’t learn “AI” in general, you learn AI in your role: good training starts from your tasks.
Three levels of skill: using an assistant, framing a request and checking the answer, then automating a whole task.
The job does not disappear: it keeps the judgement, the relationships and the decisions.
Some data is never pasted into an assistant: knowing which is part of the training.
The three levels of skill
Using. You can open an assistant and ask it to rephrase, translate or summarise. That is where most people are, and it is already useful.
Framing and checking. You give the context, the goal, the expected format and the limits, and you review the answer like the work of a brilliant but hurried intern: figures, names, dates. At this level AI becomes reliable in real work.
Automating. A whole task runs on its own, with a human check in the right place: minutes sent after every meeting, a follow-up prepared for every unanswered quote. This level is often built with IT or a provider, but it is the business side that knows what to automate.
Where to start this week
- List your repetitive tasks. What you do every week that always follows the same pattern: minutes, follow-ups, first drafts, summary tables.
- Pick three. The ones that take time and where a mistake is easy to spot on review.
- Try, note, adjust. A well-framed request, a review, and the time spent before and after. After two weeks, you know what works for you.
What you keep for yourself
AI prepares, you decide. A sales proposal, a decision about a person, advice to a client remain your responsibility, and that is what gives your job its value. We cover this in detail in the human role alongside AI.
Keep sensitive data for yourself too: personal data about clients or employees, non-public financial information, trade secrets. Unless your company has set up an assistant whose data stays in-house, it does not go into a consumer tool. It is also a compliance matter: since 2 February 2025, article 4 of the AI Act asks companies to ensure their teams have sufficient AI literacy (our take on the AI Act).
AI, job by job
Uses change from one role to the next. We cover them in one article per job:
More will follow: leadership, operations, customer service, executive assistants, legal, procurement, project management and team management.
Find out where you stand
Before choosing a course, the most useful step is knowing where you start. Our AI skills test asks questions matched to your role and tells you, in a few minutes, what you already do well and what would save you the most time. For a whole team, AI training for teams starts from your real tasks, not from a generic course.
Jim · founder of Brain Plus AI
Also in ai at work
Stepping back6 min
Only 24% of French people feel trained in AI: what about your team?
France ranks 40th out of 47 countries for AI training, according to KPMG and the University of Melbourne, while companies are raising AI spending far faster than training. What the studies say, and how to train a team of 20 to 500 people.
Stepping back10 min
The human role alongside AI: knowing how to judge
AI excels at some tasks and is confidently wrong on neighbouring ones. The human's value shifts: knowing where the line runs, keeping your judgement, answering for the result.
Practical guide10 min
AI Act and GDPR: what an SME using AI must do
An SME that uses ChatGPT or a CRM with built-in AI already has obligations. This guide takes stock in October 2026: your role under the AI Act, the timetable revised in July 2026, what the GDPR requires and the steps to get compliant.