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AI agents training · Qualiopi

AI agents training for companies

100% tailor-made training that teaches your teams to build their own AI agents on their real processes. Prefer to delegate? The AI Sisters Lab designs the agent for you and connects it to your tools.

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60,000
employees
trained
900+
companies supported

They train their teams in AI with AI Sisters

AI Sisters is an agency specialising in generative artificial intelligence for businesses. We support organisations through AI training, strategic consulting and the AI Sisters Lab, which designs and deploys practical AI solutions.

Client reviews

The teams we have trained tell their story

Leaders from large groups talk about our AI training.

"

My goal wasn't to learn how to use yet another tool. I needed to understand what AI really changes for an organisation like ours. That is exactly what this training gave me.

Nicolas Faist
La Poste
HR Director & Deputy Executive Director · La Poste Grand Est
"

I needed a strategic view of the subject. The discussions helped me better identify the opportunities, risks and priorities for supporting our company's development.

Patrice Bondy
Groupe Liébot
Managing Director / CEO · Groupe Liebot
"

A lot of content, but above all a lot of practical substance. I appreciated being able to talk about our real challenges and leaving with a clearer view of what AI can bring to a company like ours.

Aymeric Le Chatelier
Ipsen
Managing Director · Ipsen Group
Let's talk about your AI agent project and your teams.
The challenge

Your teams have heard about AI agents. Few know how to build one that holds up in production.

43%
of executives who use AI save more than 8 hours a week
+
98%
of executives who use AI see real time savings in their role

Source: Section 2026 study of 5,000 white-collar workers, including a panel of C-suite executives (reported by the Wall Street Journal)

Without AI agents training, these figures stay theoretical. That is exactly what we change at AI Sisters, with 100% tailor-made programmes for all your teams.

Our programmes

2 ways to start using AI agents

Train your teams to build their own agents, or ask us to design a custom agent for you. Either way, we start from your real processes.

Train my teams

AI agents training (1 to 3 days)

Your teams design their own agents on their real tasks, with the tools you already have.

In person at your offices, or remote
ChatGPT, Claude, Copilot Studio, n8n or Make
One working agent per team by the end of the session
Eligible for OPCO funding (French training funds), Qualiopi-certified provider
Custom build

AI agent built by the AI Sisters Lab

Our consultants scope and build the agent, connect it to your tools, then train the teams who will use it.

Scoping of the use case and the data
Agent connected to your tools: CRM, ERP, email
Testing on your data, security and AI Act
User training and follow-up after go-live
Our method

A 100% tailor-made approach

No generic agents. Every course starts from the tasks your teams do every week.

Step 1

Pre-audit

We work with your teams to find the repetitive tasks that deserve an agent, and the data it will need.

Step 2

Design

A programme built on your processes and tools, by function: HR, finance, legal, procurement, customer service.

Step 3

Delivery

Sessions led by our trainers. 80% hands-on: each team builds and tests its own agent.

Step 4

Follow-up

Agents are documented and shared, then we check in at 30, 60 and 90 days to get them into real use.

Your objectives

5 concrete results for your teams

Understand what an AI agent is

Tell the difference between a chatbot, an automation and an agent that plans and acts on its own.

Choose the right tool

GPTs, Claude Cowork, Copilot Studio, n8n: know which one to use for each task and level of risk.

Build an agent that works

Write the instructions, give it the right sources and test the agent on real cases before you share it.

Connect the agent to your tools

Plug the agent into email, the CRM or shared files, while staying in control of your data and the AI Act.

Manage and grow your agents
‍

Measure the time saved, fix errors and choose which agents to roll out more widely.

In pictures

Our AI training in action

Équipe en atelier de formation IA AI Sisters autour d'une table avec leurs ordinateurs
Case studies

The results in figures

Three examples of AI Sisters AI training. Data measured at the end of the training.

Leadership team (COMEX) immersion day in Nancy · 15 senior executives

Before

  • Only 15% of the leadership team had ever used an AI tool
  • No shared set of good practices
  • 10+ hours a week spent on manual analysis and reporting
  • Up to 2 hours a day writing emails

After

  • 100% of executives use AI every day
  • 35+ concrete use cases identified and tested
  • 6 hours saved per week on average
  • 85% of managers “comfortable” with AI
Leadership team seminar in Mexico · 80 executives trained

Before

  • 8 out of 10 executives did not know where to start
  • No shared AI strategy at executive committee level
  • Fragmented local initiatives with no overall vision

After

  • 80 executives trained in one session
  • 35+ use cases mapped, 5 GPT assistants built live
  • 98% immediate satisfaction
  • AI roadmap approved by the executive committee
Annual seminar in Brussels · 80 Finance managers (CFOs, management control, procurement)

Before

  • 65% of executives had doubts about the reliability of AI
  • Highly manual processes: 12+ hours a week lost per employee
  • No inventory of AI use cases in the Finance function

After

  • 30+ concrete use cases identified
  • +65% LLM usage measured internally the following month
  • 70% of participants less reluctant about AI
  • 8 hours saved per week through automation
FAQ

Frequently asked questions about AI agents training

Definition, tools, coding, OPCO funding, security: answers to the questions we are asked most often.

What is an AI agent in a company?

An AI agent is given a goal, breaks the work into steps and uses tools (email, files, CRM) to reach it, without being told every action. A chatbot answers a question. An agent handles a task from start to finish and reports back to you.

What does AI Sisters' AI agents training cover?

Your teams learn to spot the right use cases, write an agent's instructions, give it reliable sources, connect it to their tools and measure the time it saves. Each team leaves with an agent that works.

Do you need to know how to code to build an AI agent?

No. GPTs, Claude Cowork, Copilot Studio and n8n let you build an agent without writing code. A more technical module is available for IT teams who want to go further with APIs and MCP.

What is the difference between the training and a custom-built agent?

With the training, your teams build their agents themselves. With a custom build, the AI Sisters Lab consultants design the agent, connect it to your systems and put it into service, then train the people who will use it. Many clients combine the two.

How long does an AI agents training last?

One day is enough for an Agentathon, where each team builds its own agent. To go from first agents to use in production, we offer a programme over several weeks with follow-up between sessions.

Can AI agents training be funded by an OPCO?

Yes. AI Sisters is a Qualiopi-certified AI consultancy, which makes the training eligible for funding by your OPCO (French training fund), depending on the rules of your sector.

How do you stay in control of your data with an AI agent?

The training covers access rights, confidentiality, human approval of sensitive actions and AI Act obligations. An agent should only act on what it has been explicitly given access to.

What results have your clients seen?

At TotalEnergies, the HR team built 5 agents in one Agentathon day. At ENGIE, the GET programme put AI agents into production in 5 months. At Daher in Toulouse, 130 managers built their own agent in a single day.

Have an AI agent project?

Let's build the training
that fits your
teams

30 minutes to scope your needs and suggest a training course, or an agent designed for your teams.