Practical AI support for teams and leaders
AI Adoption at Work
AI is already in the room. The question is whether people are using it with confidence, care and good judgement. This page brings together three ways to begin: an assessment to see where you stand, a hands-on workshop for teams, and a decision lab for leaders facing bigger choices.
Card Game Workshop
A fun way to dive in with your team
AI Adoption
at Work
Hosted by:
What this workshop is
A hands-on session that helps teams compare outputs, question assumptions and talk honestly about what better use of AI asks of people in everyday work.
AI Assessment
See where you actually stand
AI Readiness Assessment
Performed by:
We map out what's next
A clear picture of how AI is already showing up across your organisation, where uncertainty sits, and what needs attention before wider use becomes harder to steer.
Executive workshop
Build a decision framework around AI
AI Decision
Lab
Hosted by:
Build your own AI helper
A sharper space for leaders who need to turn AI ambition, uncertainty and pressure into clearer choices, better judgement and more workable decisions.
Start where the organisation actually is
Not every organisation is facing the same AI question. Some need a clearer picture before deciding what to do next. Some need a team workshop that replaces vague excitement with shared language and better habits. Others are already at the point where leadership choices can no longer stay broad or borrowed. These three options are there to meet those different moments well.
About the AI Readiness Assessment
This is the right starting point when AI is already appearing in different corners of the organisation, but nobody has a clean view yet of what is happening, where confidence is low, or where risk is quietly growing. People may be trying tools in very different ways. Some teams may be moving quickly, while others are hesitant or unclear on what good use even looks like.
The assessment helps make that picture more visible. It surfaces where AI is being used, where decisions are still vague, where the friction sits, and what needs stronger support before wider adoption becomes a habit rather than a choice. It gives leadership and teams something firmer to work from than assumptions or scattered impressions.
The point is not to produce a maturity score for its own sake. The point is to leave with a clearer understanding of where you stand, what matters most, and what deserves attention first.
Best for:
Organisations with uneven experimentation, unclear ownership, or a sense that AI is already moving faster than internal understanding.
About the card game workshop "AI Adoption at Work"
AI Adoption at Work is the middle option for a reason. For many organisations, it is the most useful first move. It gives teams something more tangible than a talk, more reflective than a tool demo, and more memorable than a generic training session.
The workshop uses a card-based format to help people explore how prompts, choices and assumptions shape results. Participants compare outputs, challenge each other’s reasoning, and notice more clearly where judgement still matters. That makes the conversation less abstract and much closer to the reality of daily work.
What people leave with is not only more familiarity with AI, but a better feel for how to use it with more care, more clarity and more shared responsibility. The session is designed to make AI literacy feel usable rather than theoretical.
Best for:
Teams, mixed groups, managers and internal learning settings that want a practical workshop people will still be talking about afterwards.
About the executive workshop "AI Decision Lab"
Some organisations do not mainly need a first literacy session. They need a better room to think in. AI Decision Lab is for leaders who are already facing real choices around AI and want those choices to become clearer, more grounded and less reactive.
The session turns a live challenge into a better decision conversation. That might mean clarifying what is actually at stake, where responsibility sits, what should move first, what should wait, or what a more credible course of action would look like. It is less about excitement around AI, and more about the quality of the thinking around it.
That matters because weak decisions around AI rarely look dramatic at first. More often, they start as vague ownership, rushed optimism, borrowed language or badly framed ambition. This workshop helps leadership teams slow that down just enough to think properly before momentum hardens.
Best for:
Leadership teams, executive groups and decision-makers who need stronger judgement around AI choices, not just more movement around AI.
Why this matters now
AI is already entering the workplace, whether organisations feel fully ready or not. People are experimenting. Leaders are being asked for direction. Teams are seeing the promise, but not always the implications. And in that gap, weak judgement can spread quietly: uneven use, unclear expectations, overconfidence, shallow policies or decisions that sound modern but do not hold up in practice.
That is why good AI support needs more than enthusiasm. It needs language people can actually use, formats that help them think, and conversations that make room for doubt, responsibility and better decisions. Otherwise, the loudest thing in the room becomes the technology rather than the judgement around it.
Card game workshop
AI Adoption at Work
Hosted by: Dimitri Le Roux & Parker Woodroof
Designed by: Rethinking the Box // Humanum Huis // Braincrush // Cheeseball Consulting
Price for 1-6 people: € 500 + € 50 per additional person
Price for large groups & events (20-100 people): € 1.500 flat fee
These prices are excluding VAT and travel expenses.
About this workshop
AI Adoption at Work is an interactive card game workshop designed to help teams explore how AI can genuinely support their work. Rather than treating AI as a technical subject explained from the outside, the session helps people experience for themselves how judgement, creativity and collaboration shape whether AI becomes useful in practice.
It is built for teams who want to move beyond abstract discussion and develop a more grounded feel for what good AI use actually asks of them. Through playful challenges, shared reflection and guided experimentation, participants learn how prompts, choices and evaluation influence both output quality and decision quality.
Why this matters now
AI is already entering the workplace, whether organisations are fully ready or not. Employees are experimenting, leaders are making decisions quickly, and many teams still lack a shared language for using AI well. That gap can lead to uneven adoption, costly mistakes, weak judgement and uncertainty around ownership and quality.
This workshop was created as a practical response. It focuses less on tool hype and more on the human side of AI readiness: how people question, evaluate, reflect and learn when AI becomes part of everyday work.
What your team will take away
Participants leave with:
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more confidence using AI in everyday work
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clearer insight into where AI can and cannot help
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stronger judgement around prompts and outputs
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a better ability to compare results and discuss quality together
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a more practical feel for what good AI collaboration asks of people
The session is designed to make AI literacy tangible, shared and immediately discussable within a team.
How it works
The workshop uses a card-based format that turns AI exploration into an active group exercise. Participants move through three rounds that gradually shift from experimentation to application:
1. Warm-up
Participants receive one card from each deck and use them to visualise a theme, build a base prompt and generate a result.
2. Dare the Others
Teams invent a challenge, pass it along, receive another challenge back and create a new result in response.
3. Put it to Work
Participants turn a real work challenge into a theme, create custom AI instructions and leave with the beginnings of a more usable AI helper.
The format is playful, but also educational. It helps teams test ideas, compare outcomes and sharpen critical thinking in a way that feels social and low-threshold rather than intimidating.
Workshop format
AI Adoption at Work is available:
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for small teams or larger groups
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as an on-site session or online webinar
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with a duration of around 2 to 3 hours
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with no prior AI experience required
Because the format is hands-on and guided, it works well for organisations that want an accessible first step into AI without turning the session into a technical training or tool demonstration.
Who leads this work
This work brings together four people with different strengths around the same challenge: helping organisations use AI with more clarity, better judgement and stronger practical footing. Parker Woodroof (Humanum Huis) brings a leadership and organisational lens that sharpens the bigger questions behind adoption: what AI is actually helping a team or organisation become, where direction is still vague, and what needs clearer thinking before momentum takes over. Fatiha Ait Ali (Braincrush)brings the governance and responsible AI perspective, helping organisations think more carefully about how decisions, risks and implementation hold up in practice.
Alongside that, Irina Stoyanova (Cheeseball Consulting) strengthens the learning-design side of the work, helping turn good workshop content into stronger facilitation, clearer learning materials and formats that people can keep using after the session itself. Dimitri Le Roux (Rethinking the Box) created the workshops and leads much of the facilitation, shaping the sessions so they feel thoughtful, engaging and immediately usable rather than abstract or overblown.
Together, they make it possible to approach AI from more than one angle at once. Not only as a technology question, and not only as a training topic, but as something that touches judgement, communication, leadership, learning and organisational responsibility. That mix is what gives this work its balance: practical enough to use straight away, but thoughtful enough to help people make better decisions around what comes next.
