Accounts open, little use
An email rephrased, a meeting summarized, and that's about it. Then the weekly rush took over.
AI training: from trial run to habit.
Licenses paid, usage stalled. Our AI training starts from each team's real tasks, on Claude, ChatGPT, Gemini or Microsoft Copilot, until AI is a daily habit.
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What we see
The tool is there. The habit isn't yet.
A license never trained anyone. Here's what we find in most companies, before the first session.
Pioneers and bystanders
Two or three colleagues save hours. The rest don't dare, or don't know where to start.
Generic training
Someone showed your teams how to write a poem with ChatGPT. Nobody showed them how to use it on their own files.
Copilot mode
AI at everyone's side, every day.
In practice, an AI works alongside each person on your team. It drafts, summarizes, searches and translates. People keep control and make the call.
Our AI training doesn't stop at the tool. It aims for the reflex: the moment your teams open the assistant without thinking, like their inbox.
Whatever the platform
Our method
Observe, equip, train. In that order.
Good AI training starts before the first session. We start from each team's real work, build the right agents, then train everyone to use them day to day.
Step 01
Observe the real work
Real use cases, internal vocabulary, everyday tools: we spend time with each team before suggesting anything.
Step 02
Equip every role
Cross-functional agents for the whole team, and tailor-made agents for each role, ready on training day.
Step 03
Train on real work
Hands-on with their own files, best practices, usage tracking: adoption is built, not decreed.
Our technology partners
The building blocks we build on.
We train your teams on the leading assistants, or on the ones you already pay for.
Microsoft Copilot
Dust
Anthropic
OpenAI
Teams already trained and equipped
A European Private Equity fund, 100+ staff equipped with AI
Copilot and Perplexity Enterprise rolled out to every team, training by level, and around fifteen specialized agents per function.
Read the case studyNewfund, 6 AI agents on Dust for the investment process
An early-stage fund between Paris and Silicon Valley. Its agents cover every dimension of deal analysis, from tech to exit, through to IC memos.
Read the case studyDoctolib, from a handful of pioneers to 90% building agents in 3 months
Usage carried by a few at the start. Three months on the ground: more than 50 agents built by 20 people across 5 business teams.
Read the case studyBeyond training
What's next?
Want to go deeper on a specific tool, or hand whole processes over to AI? Here's what comes next.
Microsoft Copilot Training
Training
Your Copilot licenses finally put to use, role by role, on your Microsoft 365 data.
Claude Training
Training
From getting started with Claude to building agents with Claude Code.
Claude Code Training
Training
Hand whole tasks to an agent, even without coding.
AI Automation
Automation
When a task repeats, we automate it end to end, under supervision.
Frequently asked questions
Isn't AI training just prompting?
No. Prompts are the first hour. Our AI training starts from each team's tasks, equips your people with assistants plugged into your data and tools, then tracks usage over time. To pick the assistant, see our AI assistant comparison.
Does my data stay confidential?
Yes. We work on enterprise plans that don't train models on your data, and we scope access with your IT team before any rollout.
How soon are my teams up and running?
First real usage shows up within a few weeks. We start with one or two high-impact teams, then expand role by role.
Will my teams actually use it?
That's the whole point, and it's what we measure. We start from concrete use cases, train on your teams' own files and track adoption. A tool nobody opens is worthless. Our Microsoft Copilot guide walks through 7 concrete use cases, app by app.
AI training or AI automation: which do you need?
AI training makes each person faster: AI drafts, searches and summarizes on request, and they stay in the loop (that's copilot mode). AI automation runs a process end to end and only calls on your teams at decision points (autopilot mode). Our guide to workflows, assistants and AI agents helps you pick the right level.