Supporting AI adoption in your team
Audience: Managers and team leaders.
Help your managers respond to how their team members react, set clear rules for use, and organize work with AI. This learning path goes as far as dividing tasks between people and agents, defining how much autonomy agents have, and the team practices needed to keep improving.
Download the learning path overview (PDF)Key facts
- Modules
- 6 modules in a recommended order
- Duration
- ~2 h as Adaptive modules ~1 h as training videos
- Formats
- Adaptive module or training video
- Suggested pace
- one module per week
The six modules, in the recommended order
Step 1
Managing with AI: What stays human
Clarify what AI takes on in the manager’s role and what remains human: setting direction, enabling, deciding.
Step 2
When AI is imposed: From shock to adoption
Understand the reactions that an imposed AI tool triggers, from denial to a fresh start, and know what to say at each stage.
Step 3
AI is already on your team: Lead the rollout
Organize the rollout in the team: set clear rules for use, sort out together what to hand over to AI, and respond to the fear of being replaced.
Step 4
“The agent did it”: Managing a team of people and AI agents
Divide work between people and AI agents, choose the level of autonomy for each task, and name who is accountable for each decision.
Step 5
AI agents that act on your behalf: Set the right limits
Set the mandate of an AI agent acting on the team’s behalf: what it can do, its limits, its stopping points, and the responsibility that stays human.
Step 6
Three team skills that outlast every new AI tool
Prepare the team for tools that keep changing, with three lasting skills and a regular meeting to decide together what stays human.
The composition of this learning path can be adapted to your audiences, your priorities, and the training already in place.
Discuss this learning path