Get your teams to adopt AI,
starting from what they want to hand over to it.
For leadership teams who have rolled out AI tools and are still waiting for results. The licenses are there, usage isn't following, and some teams already work with their own tools, outside any framework. Rest assured: this is the situation in most large companies, and it gets resolved with the teams.
The licenses are bought. The app stays closed.
Someone in management admits it to you: half their team has never opened the tool. The other half uses ChatGPT on their phones, with company data.
You are not an isolated case. According to a preliminary report from MIT NANDA (2025), staff use personal AI tools in over 90% of the companies studied, while only 40% have an official subscription.
The more you force a tool, the more distrust grows.
The same report names the main barrier to scaling: reluctance to adopt new tools. Forcing a tool pushes AI to settle in outside any framework.
Yet your teams are more open than you might think. In the Stanford survey (2026) of 1,500 US workers, 69% of the people who want to hand a task over to AI do so first to free up time for higher-value work.
AI doesn't replace jobs, it changes tasks, and your teams know which ones. In purchasing, people will readily hand over comparing offers, much less choosing the supplier. Here is how we cross their views with what AI can do.
Adoption that starts from your teams' real work.
Your teams' views, task by task
Short, anonymous questionnaires, ready to send. Each person says what they would like to hand over to AI and how much time they spend on it.
The first tasks to equip
The ones teams want to hand over and AI can do. The ones they prefer to keep open a discussion with managers.
The training plan
The skills to develop in each job family, which also helps you meet the obligation to train staff in AI.
« What we don't understand, we can only endure. »
What transformation leaders ask.
What should we do about AI uses that already exist without a framework?
Face them rather than ban them. The task map shows where AI is already helping, and therefore where to set a framework first.
How do we get managers on board?
By finally answering their question: “in practice, what do I do with my team?” Managers take part in assessing the tasks of their jobs and relay the questionnaires.
Where should we start?
With the tasks your teams want to hand over and AI can do, then by quantifying the gain job by job. A pilot on a few jobs gives a first answer.
Start from what your teams want to hand over to AI.
In 30 minutes, you tell us where adoption stands in your company, we show you on a fictional company how the tool gathers your teams' views, and together we sketch what a pilot would bring to light in yours.
30 minutes on video with Skillberg, no commitment. No personal data required.
- MIT NANDA, The GenAI Divide: State of AI in Business 2025, July 2025 (preliminary report), pp. 8 and 11
- Shao et al., Future of Work with AI Agents, Stanford University, arXiv v3, February 2026 (preprint; 1,500 US workers, 844 tasks), p. 9