🎥 Webinar on 27 October: ChatGPT is back, every new feature tested live

2026-10-25

Why is training your teams in ChatGPT a profitable investment?

Artificial intelligence is now an essential tool for every company that wants to optimise its processes and become more competitive.
Among the most powerful technologies, ChatGPT, the generative AI developed by OpenAI, offers immense possibilities.
But why is training your teams in ChatGPT a profitable investment? The answer is simple: it is a strategic lever to increase productivity, speed up decision-making, and free up time for higher-value tasks.

To take action, discover our ChatGPT training for companies, a Qualiopi-certified AI training course.

At AI Sisters, we design tailored AI training, adapted to the specific needs of each company and each team. Here is an overview of ChatGPT use cases in different sectors, with real examples from our training sessions at prestigious companies such as Sagard, Webedia, and IPSEN.

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ChatGPT: a strategic investment for every team

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AI training for Private Equity and M&A teams: optimising investment analysis and strategic decisions
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🤔 Training objective:

Speed up the investment analysis process
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Optimise financial reports and due diligence
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Simplify the management of complex transactions

💼 AI use cases built into the training:

Rapid analysis of investment memos with ChatGPT: Sagard uses ChatGPT to analyse Investment Memos in a few minutes, identifying strategic opportunities and financial risks.
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Summarising expert calls — when studying specific markets, ChatGPT helps extract key information from expert transcripts, reducing analysis time.
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Creating executive summaries — instant generation of One-Pagers for investment decisions, like those used by Sagard to analyse specific projects.

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🧠 AI training delivered for Private Equity and M&A teams: Sagard, Florac, Chequers Capital

✅ Result: Faster, more accurate teams when assessing investment opportunities.

👉 Discover how Sagard's teams integrated generative AI to optimise their investment analysis and speed up their decision-making.

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AI training for Marketing teams: boosting creativity and optimising content production

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🤔 Training objective:

Generate marketing content faster
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Optimise the creation of digital campaigns
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Stimulate creativity with generative AI
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💼 AI use cases built into the training:

Content creation — using ChatGPT to write newsletters, video scripts, and social media posts.
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Visual generation: Webedia used ChatGPT to generate creative ideas and optimise the production of visuals with tools such as Midjourney.
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Market analysis with Perplexity — identifying consumer trends, which enables marketing teams to react quickly and predict consumer behaviour.

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🧠 AI training delivered for marketing teams: Webedia, Les Échos – Le Parisien, Accor

✅ Result: More autonomous and creative marketing teams, with digital campaigns optimised by ChatGPT.

👉 Discover our specialised workshops for Webedia's marketing teams!

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AI training for HR teams: optimising recruitment and talent management

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🤔 Training objective:

Speed up HR administrative tasks
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Improve talent management
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Automate repetitive tasks to free up strategic time
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💼 AI use cases built into the training:

CV screening: IPSEN uses ChatGPT to analyse CVs, carry out a pre-selection and make recommendations on which candidates to meet.
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Writing job descriptions — AI helps create job descriptions that are personalised and adapted to each team's needs.
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Internal communication — creating multilingual invitation emails for training sessions or events, as Plaza Athénée did with the help of ChatGPT.

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🧠 AI training delivered for HR teams: IPSEN, Les Échos – Le Parisien, Plaza Athénée

✅ Result — a more strategic HR function, with effective tools to save time and improve the employee experience.

👉 Implementing AI for the Plaza Athénée HR teams

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AI training for Developer teams: optimising code production and technical management

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🤔 Training objective:

Speed up code writing
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Simplify technical documentation
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Make the most of AI coding tools
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💼 AI use cases built into the training:

Getting started with GitHub Copilot: Developers at IPSEN learned to use AI to code faster.
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Automated unit tests — automatic generation of unit tests via ChatGPT.
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Assisted debugging and code translation from one language to another.

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🧠 AI training delivered for tech/data teams: IPSEN, AI Sisters (in-house), JCDecaux

✅ Result — More efficient developers who save precious time on repetitive tasks.
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👉 Discover how JCDecaux's developer teams use AI to code

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AI training for Support & Finance functions: speeding up administrative tasks

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🤔 Training objective:

Optimise reporting
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Improve internal communication
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Speed up the creation of presentations
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💼 AI use cases built into the training:

Generating meeting minutes and summaries with ChatGPT.
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Creating dynamic dashboards and financial projections for finance teams.
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Proofreading and rephrasing legal or financial documents.
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🧠 AI training delivered for support functions: Institut Français, MEAE, Consulting firms

✅ Result — teams that are more efficient, with AI tools that make their daily work easier and optimise their time management.
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👉Discover how IPSEN's support functions used AI to optimise their back-office processes and improve their financial reports.

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📅 Ready to transform your teams with generative AI?

AI is no longer a bonus. It is an essential competitive advantage. But it does not integrate itself into your processes. It has to be adopted, role by role, with the right tools and the right strategies. At AI Sisters, our training courses are turnkey, practical and adapted to your teams.

Want to save time, boost creativity, improve your decisions?
Looking for personalised AI training, easy to deploy and immediately beneficial for your business processes?
That is what we are here for.

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Book your 30-minute call now

A no-obligation conversation to define the AI training that truly matches your business challenges.

👉 Explore your AI solutions 👈

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Also read: ChatGPT 4.0 reaches new heights and ChatGPT o1, the new version of ChatGPT

Where does your company stand with AI? Take the free AI diagnostic in 5 minutes and get your action priorities.

FAQ

Answers to your questions about AI in business.
How to train your teams, identify the right use cases and roll out AI effectively.

Book a call

How can I train my teams in AI without it taking months?

It is the question we hear most often. The short answer: with the right method, a single day is enough for your teams to really start changing their habits. At AI Sisters, we have built a three-step approach, tested on more than 350 projects:

Step 1 - Understand, not just "discover"
We start with an AI Show: a live, immersive session with real-time demos on real cases. No generic slides. Your teams leave with a clear view of what AI can (and cannot) do for them.

Step 2 - Practise on real topics
Hands-on workshops are organised by role: HR, Finance, Marketing, Sales, Legal, Ops. We use your real documents, your real emails, your real tools. Prompts are tested live.

Step 3 - Embed new habits at D+30
One month later, we run an impact review: what has been adopted, what is still blocking, what needs adjusting. This follow-up is what makes the difference.

In short: training your teams in AI does not take months. With an approach built on immersion, role-based practice and impact follow-up,

Can AI training really be adapted to my sector (healthcare, finance, industry...)?

Yes, and that is exactly what separates useful training from training people forget.

Before each project, AI Sisters carries out a pre-audit: we analyse your typical documents (contracts, emails, reporting, product sheets), your tools (Office suite, Google, CRM, ERP) and your workflows.
We identify where AI can create value in your specific context. Then we choose, from our 40 business experts, the one who knows your sector best.
An HR team in an industrial group will not see the same examples as a B2C sales team. Prompts, exercises, use cases - everything is adapted.

‍In short: AI Sisters adapts each training programme to the reality of your sector, thanks to a pre-audit and 40 business experts. Healthcare, finance, industry, services: content is built on your real documents and your real constraints, not on generic examples.

Can AI training be funded by my OPCO?

Yes, in most cases.
AI Sisters training is Qualiopi-certified, which makes it eligible for OPCO funding (French training funds). The level of funding depends on your skills operator, the scheme used and your available budget, but in many cases a significant part of the cost can be covered.

In practice, we support you through the whole application: detailed quote, compliant programme, supporting documents, follow-up until reimbursement.

‍In short: thanks to Qualiopi certification, AI Sisters training is OPCO-fundable. The amount varies with your operator and your situation, but it can mean substantial savings.

Is AI training better on-site or remote?

Both work. What matters is the intention behind the format.
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On-site is ideal for a strong kick-off: a seminar day, a moment of collective co-creation, a team starting out together.

Remote is perfect for multi-site or international teams - our online sessions use training assistants via chat to keep things interactive (Q&A, co-writing prompts, live exercises).

Either way, the method stays the same: AI upskilling + practice + follow-up. And every session is led by a business expert, not a generalist trainer.

‍In short: on-site or remote, the format adapts to your organisation. AI Sisters keeps the same level of quality and interactivity in both cases, with business experts dedicated to each session.

Which tasks can I really hand over to AI in my team today?

The best way to answer is by role.

‍HR: screen CVs, generate job descriptions, write emails to candidates, prepare interviews.
‍Finance: explain an Excel table, write a commentary on results, prepare a forecast budget.
‍Marketing / Comms: create an editorial calendar, adapt a message into several formats, A/B test hooks.
‍Sales: write prospecting emails, personalise sequences, prepare responses to tenders.
‍Legal: analyse an NDA, flag risky clauses, generate a first draft to review.
‍Leadership: summarise committee meetings, prepare strategy notes, build impact scenarios.

In our AI workshops, we do not show fictional cases. We take your real documents and test AI on them, live.

Before AI: 2 hours to write meeting minutes.
With AI: 20 minutes.
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Before AI: 3 hours to analyse an Excel file.
With AI: 30 minutes.

‍In short: AI can speed up dozens of practical tasks in every department. AI Sisters helps you identify the ones with the most impact for your team, and test them straight away on your own documents.

My team is not technical. Can they still use AI?

Yes. In fact, that is the whole point.

Our approach is 100% role-based, with no technical jargon. We start from your teams' real problems (lost time, repetitive tasks, heavy reporting) and show how to turn them into simple prompts.

At the end of the workshop, each participant leaves with ready-to-use prompt templates adapted to their job.

The goal is not to train data scientists. It is for every employee to be able to say: "This is how AI helps me in a typical day."

‍In short: You do not need technical skills to use AI every day. AI Sisters turns the tools into accessible, role-based practices, and gives every participant prompts they can use the very next day.

How can I be sure AI does not make mistakes in a sensitive context (legal, medical, financial)?

It is a more than legitimate question, and we address it directly in our training.
We do not just show what AI can do. We also stress what should not be delegated to it, how to review and validate its answers, and how to combine a clear business brief with a well-built prompt to get the best quality.

Our experts know the constraints of your sector: compliance, deadlines, accuracy, GDPR, approved tools.
Nothing is left to improvisation.

‍In short: AI Sisters builds the limits and risks of AI into its training. Your teams learn to use AI reliably, knowing what they can hand over to it and how to check the results.