How to choose corporate AI training: 2026 guide

Updated on 20 October 2026. How do you choose AI training for your teams? This guide brings together our selection criteria, the five training courses companies ask us for most, role by role, the available formats and funding.

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In 2026, almost all your teams have already opened ChatGPT, Claude or Copilot. 😅

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The question is what to do with it on Monday morning, on their own files, without sending sensitive data where it should not go.

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Generic training does not answer that well, because a salesperson and an HR director have neither the same tasks nor the same risks.

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Here are the five training courses our clients ask for most, and how to choose yours 👇

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In brief

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• Good AI training starts from the tasks of a role. The tool comes second.
• The five most requested: marketing, sales, HR, finance and support functions, and building AI agents.
• The tools have changed in a year. Claude makes slides, ChatGPT works in Excel, Copilot builds agents: 2025 programmes are already out of date.
• Data comes before technique, especially in HR, finance and legal.
• Format matters as much as content: show, workshop, Promptathon or Agentathon, depending on whether you want AI awareness or real output.
• Training can be funded and measured. OPCO, skills development plan, and indicators set before you start.

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How to choose your AI training: the criteria that matter

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Successful AI training is judged on one thing only: what your teams do differently three weeks later.

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In our sessions, that means use cases drawn from the team’s daily work, practised on the tools the company actually allows. Add to that a clear rule on data: what can go into which tool.

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This is the principle behind our role-based training approach: start from the task, then choose the tool.

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💡 In other words: learning AI without use cases is like learning Excel without a spreadsheet to fill in. You remember the menus, not the habits.

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To compare two offers, ask them these six questions:

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• Does the programme start from your tasks? Ask for examples from your line of work. Generic training is quickly forgotten.
• Does it use your tools? ChatGPT, Claude, Copilot or Gemini: the training should use the ones your company allows.
• Does it settle the data question? What can go into which tool, before the first prompt.
• Who runs it? Trainers who know the tools and know how to teach them. At AI Sisters, more than 40 experts from CentraleSupélec, MIT and ESCP.
• Is the provider Qualiopi-certified? It is the condition for being eligible for OPCO funding (French training funds).
• What references? Ask for cases similar to yours. Ours are on our case studies page.

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Our programmes are described on the corporate AI training page. Here are the five training courses our clients ask for most.

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1. AI training for marketing and communication

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Marketing is often the first team to train, because the gain shows straight away: more content, faster, with more variants to test.

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What we work on:
newsletters, video scripts and posts adapted into several formats; campaign visuals with ChatGPT Images 2.5; presentations generated with Claude Slides; monitoring and market analysis with Perplexity.

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Already trained:
the teams at Webedia, in separate workshops for pre-sales, sales and operations. The marketing and editorial teams at Molotov.TV, in small groups after a general talk. And Les Échos - Le Parisien, trained directly on MaIA, the LVMH group’s secure in-house AI tool.

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Watch out for:
image rights and brand consistency. A generated visual needs proofreading just like a text.

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2. AI training for sales teams

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For a salesperson, AI is first a preparation tool: the meeting, the offer, the follow-up. That is time given back to selling itself.

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What we work on:
prospecting and personalised messages; meeting preparation from an account’s public information; structuring offers and sales scripts; sorting and drafting emails, with Claude in Outlook.

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Already trained:
60 salespeople at Prisma Media, in one day that mixed teaching in the morning with practice in the afternoon. And 80 Sales leaders from Accor Luxury & Lifestyle, gathered for a four-day seminar in Cancún.

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To go further:
when the sales proposal always follows the same pattern, an agent can prepare the first draft. We describe a project of this kind in our key account case study.

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3. AI training for human resources

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HR work involves a lot of writing, so it suits AI very well. But HR also handles the company’s most sensitive data: pay, appraisals, employee relations.

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What we work on:
job descriptions and ads; interview guides and skills grids; summarising employee feedback; internal communication and onboarding programmes.

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The first module:
knowing which HR data can go into which tool. We cover it before any prompt.

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Already trained:
the HR teams at Samsung Electronics France, on 27 August 2026, in one morning: method, advanced prompting, then a three-round Promptathon based on a typical week for an HR team.

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If you are leading the rollout on the HR side, our guide to training your teams on ChatGPT and our page for HR teams describe the approach.

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4. AI training for finance and support functions

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Finance, legal, facilities: these are the teams that gain most on repetitive tasks, and the ones that demand the most rigour.

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What we work on:
data analysis in Excel with AI; summaries, variance analysis and presentation decks; reviewing contracts and clauses; minutes and administrative documents.

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Already trained:
80 Finance employees at Ipsen, from across Europe, during a two-hour kick-off in Brussels. The legal, finance and property management teams at SFL, on cases such as reviewing commercial lease clauses. And 130 employees of the Institut Français, at a talk at the Théâtre des Abbesses.

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Watch out for:
AI rewords well but calculates badly. Check figures in the spreadsheet, not in the chat.

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5. Training in building AI agents

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This is the training that has grown most in a year. After asking AI questions, teams want to hand it a task that comes back every week.

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What we work on:
spotting the tasks that deserve an agent; describing the task, its sources and its rules; building the agent in the company’s tool (Copilot, Claude or ChatGPT); testing it on real cases before rolling it out. Our guide to building an AI agent sets out the method.

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Already trained:
93 employees at Meilleurtaux, who had never coded, built their agents in 14 teams during a three-hour Agentathon. At Ipsen, nearly 200 employees did the same on Copilot, in one afternoon.

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With the new Copilot and its Autopilot tab or Claude Skills, this skill is now within reach of business teams.

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💡 In other words: an assistant answers when you talk to it. An agent does the work on its own, every week, following rules you have written. The training is mostly about learning to write those rules.

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Show, workshop, Promptathon or Agentathon: which format to choose

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The same content does not have the same effect in every format. It all depends on what you want: discovery, practice or real output.

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The AI upskilling show:
bring a lot of people on board quickly. Two hours are enough for 80 people, as at Ipsen. It is the right starting point when AI is still abstract for part of the teams.

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The role-based workshop:
one team, its use cases, half a day or a full day. This is the format where habits form. See our AI workshops.

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The Promptathon:
a team competition on a scenario built for you. The Promptathon works very well for moving from occasional use to a method.

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The Agentathon:
every team leaves with a working agent. The Agentathon is for teams that already use AI every day.

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And for executives:
a separate session, focused on decisions and governance rather than tools.

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Where to start

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There is no need to train the whole company at once. Rollouts that last start with one team and measure what changes.

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1. Choose a pilot team and three tasks.
Tasks that come back every week, and whose current duration you know.

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2. Review your tools and data.
Which tools are allowed, under which licence, and which data can go into them. If you are still unsure about the tool, compare Claude, ChatGPT and Gemini first.

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3. Choose the format.
A show to launch, a workshop to embed, a Promptathon or Agentathon to speed up.

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4. Set your indicators before the session.
Time spent per task, number of uses per week, satisfaction. Our article on the ROI of AI training explains the method.

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5. Check funding.
AI Sisters is Qualiopi-certified, so your training can be OPCO-fundable or covered by your skills development plan, subject to their conditions. The details are in our funding guide.

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To plan the rollout step by step, download our roadmap for corporate AI training. More free guides are on our resources page.

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Frequently asked questions

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What is the best AI training for a company?

The one that starts from your teams’ tasks and uses the tools you allow. In 2026, the courses most requested from us cover marketing, sales, HR, finance and building AI agents.

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How long does corporate AI training last?

An AI upskilling show lasts two to four hours, a role-based workshop from half a day to two days. A full programme can run over several weeks.

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Can AI training be funded through an OPCO?

Yes. AI Sisters is Qualiopi-certified: the training can be covered by your OPCO, the skills development plan, FNE-Formation or the CPF, subject to their conditions.

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AI training in person or remote?

Both are possible. In person encourages group practice. Remote brings together teams in different locations.

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Key takeaways

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• Start from the tasks of a role, then choose the tool.
• Marketing, sales, HR, finance and AI agents are the five most requested training courses in 2026.
• Settle the data question first, especially in HR and finance.
• Choose the format according to the goal: discover, practise or produce.
• Measure before and after, on three specific tasks.
• Think about funding: OPCO and skills development plan.

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Sources

• AI Sisters case study, Webedia, role-based AI workshops.
• AI Sisters case study, Molotov.TV, marketing and editorial workshops.
• AI Sisters case study, Les Échos - Le Parisien, workshops on MaIA.
• AI Sisters case study, Prisma Media, training 60 salespeople.
• AI Sisters case study, Accor, Sales seminar in Cancún.
• AI Sisters case study, Samsung Electronics France, HR Promptathon, 27 August 2026.
• AI Sisters case study, Ipsen, Finance kick-off in Brussels.
• AI Sisters case study, Ipsen, Copilot Agentathon.
• AI Sisters case study, SFL, AI Show for commercial real estate.
• AI Sisters case study, Institut Français, talk at the Théâtre des Abbesses.
• AI Sisters case study, Meilleurtaux, AI Show and Agentathon.