AI learning networks
Scale your organization’s AI adoption though peer-to-peer AI learning and change networks.
A structured 6-month pilot that turns individual AI expertise into shared organizational capability — through peer learning, not another training program.
Why is AI knowledge not shared in organizations?
In your organization, there are dozens to hundreds of people experimenting with AI on a daily basis.
The problem is, they're learning on their own, and that learning stays with them.
The problem isn't motivation or attitude. It's a lack of structure. Without a way to surface and scale what's already being learned, organizations keep buying more training instead of activating the expertise they already have.
As skills grow, people need something different: practical, role-specific, and taught by someone who does the same job they do.
What is an AI-learning network?
Not another training program
An AI Learning Network brings together experts from the same professional domain who want to develop their AI use in practice and share what they learn with their own teams.
Network around experts of the same profession
Monthly meetings with practical demonstrations
Teams channels for sharing learning and insights
Ad-hoc sparring sessions
There's no external trainer telling people what AI can do for them. Participants show each other what's working in their own work — and commit to teaching it forward.
Learning network design
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Practical use case demos
Paricipants present and demonstrate real AI use cases from their own work
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Hands-on experiments
Test, discuss and refine AI use cases together in the session
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Apply in practice
Participants take the most valuable use cases and apply them in their work
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Teach forward
Paricipants teach others to use AI and bring back what they learned to the next meeting
AI Learning Networks
How a network is set up
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We co-design the network concept with your core team. We find motivated participants for the netowk. We validate the concept with participants, and get the first sessions on the calendar. By the end of this phase, the network is ready to run.
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1-2 hour sessions organized every 2-4 weeks. Participants surface AI use cases from their own work, we prioritize them together, and take turns demoing and practicing. Between sessions, participants teach what they've learned to their teams. We facilitate, iterate, and continuously improve the format
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We gather the pilot's learnings, document what worked, and help you decide whether — and how — to scale the model across the organization.
AI Learning Networks
Why it works
Use cases are chosen by participants
The group identifies and prioritizes the use cases that matter to their actual work. This makes every session immediately relevant and applicable.
Hands-on Demos, not lectures
Sessions are built around live demonstrations and hands-on practice — no long slide decks. Theory only when it serves learning.
Built-in knowledge transfer
Participants are expected to teach what they learn to their teams. This expectation is set from day one, which selects for people who want to share.
Psychological safety by design
The facilitator creates conditions where people feel safe to ask, experiment, and admit what they don't yet know.
Ready to pilot your network with a proven design?
What you get from the pilot
A working peer learning model you can replicate across teams and units
Participants equipped to facilitate learning in their own teams after the pilot ends
A documented summary of AI use cases, learnings, and practical recommendations
A clear decision framework for deciding whether and how to scale further
Investment and pricing
A full 6-month pilot including co-design, facilitation of 4–5 sessions, continuous improvement, and final summary. If you're running multiple networks concurrently, ask about volume pricing.
€19,400 + VAT
Who is this for?
The AI Learning Network Pilot works best for organizations that have already done some AI training and are ready for the next step — where people are experimenting but that knowledge isn't spreading.
Typical group size: 8–20 participants from the same professional area. The model has been proven with legal teams, educators, and technology specialists.
You're a good fit if:
You want a practical model, not a heavy program or another vendor relationship
You're ready to pilot something and evaluate it honestly before scaling
You have a group of people who are curious about AI and willing to share what they learn