Ask our AI colleague Milly Inspiration & workshops
Explore what AI can do and try it on tasks that are relevant to your team.
Training & AI Labs
Make AI part of your team’s daily work.
Perpetuum delivers in-company AI training to teams in Dutch organizations. Participants work on cases from their own work and build workflows and AI agents themselves. That can be one workshop day or a series per department, from basic to advanced.
When this fits
From trying AI to using it with purpose.
Some colleagues experiment every day. Others are unsure where to begin. Give your team a shared starting point and room to practise on work they recognize.
- Your team wants practical experience with AI.
- Experiments rarely become everyday habits.
- People need to know when to trust an output.
A practical path forward.
We agree the scope around your starting point. These are the building blocks.
Hands-on AI Labs
Develop workflows, agents and skills through building and testing together.
Adoption & practice
Apply what you learn, review what works and make room for continued learning.
AI at work. With our clients.
KPN · AI workshops
Understand AI. By building with it.
Together with Limelights, we help KPN teams explore AI agents through hands-on Copilot Studio workshops, with examples and materials to keep learning.
Read the case
ING · AI Lab
Building a fictional challenger with AI.
In the “Competitor from Hell” workshops at ING, teams used Claude Code to build a fictional challenger to the banking sector.
Read the caseIllustrative example
Bring a real task into the room.
A marketing team could work on a campaign brief: give the AI context, compare its draft with the team’s own thinking and improve the result together. The learning is in both the output and the questions you ask of it.
- Your team’s task
- Guided practice
- Apply at work
Build it with the people
who will use it.
Define the use case.
Choose a task, its owner and what a useful result looks like.
Map the rules.
Understand the information, decisions and exceptions involved.
Build & test.
Work with real examples. Compare the output with what you need.
Adopt & improve.
Agree review, ownership and how to learn from daily use.
Training should match the team’s experience and the work they do. Agree safe examples and suitable tools before the session. A workshop is a starting point; adoption takes practice afterward.
Let’s talkA few useful answers
Before you start.
What is the difference between a workshop and an AI Lab?
Workshops help teams explore possibilities and practise skills. AI Labs put more emphasis on building and testing workflows or agents together. We discuss the right format around your team’s starting point and goals.
Can we use examples from our own work?
Yes, practical work is central to the approach. We agree appropriate examples in advance and avoid putting sensitive material into tools that are not approved for it.
Do people need technical experience?
The starting point should fit the participants. An introductory workshop and a lab for people building workflows need different preparation. Tell us who will take part and what they want to learn.
What happens after the workshop?
Adoption training and practice help people use what they learned in daily work. Discuss the follow-up alongside the session itself, including ownership and how the team will share useful examples.
Do you also offer strategy workshops?
Yes. Alongside AI training, Perpetuum offers Growth, Business Purpose and Customer Value Proposition workshops. We can discuss which format fits the question your team is working on.
Other ways we can help.
Let’s make it workWhat could AI change
What could AI change
for your team?
Bring a question, an idea or a task you want to improve.
Or email Milly with a question