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AI adoption is a question about people. The tools change every month, but how people think, learn, collaborate and change, changes much more slowly. That is why I work with techniques that have proven their worth for decades, and I use them where AI projects usually get stuck.
Rolling out a new AI tool is done quickly. Getting people to actually work with it is something else. That is where fear, habits, beliefs and group dynamics come into play, and that is exactly where these techniques make the difference.
I gathered them over more than twenty years of training, coaching and facilitation. They are woven into my workshops, my programmes and my coaching conversations. You rarely notice them as a technique. You mostly notice that something starts moving.
NLP investigates the connection between how we think (neuro), how we use language (linguistic) and how we behave (programming). In AI adoption I use it to hear what lies beneath resistance, to turn around limiting beliefs ("this is not for me") and to translate change into language that resonates with people. It also helps with prompting: those who can articulate exactly what they mean get more out of AI.
A practical, solution-focused approach to recognise thought and behaviour patterns that hold you back, and replace them with patterns that help you move forward. I use it when people are stuck in "I am not technical enough" or in the fear of being replaced. Small, concrete steps change how someone looks at their own abilities.
With visualisations and metaphors you build an inner landscape of your situation. This way you reach thoughts and feelings that are hard to capture in ordinary words. I use it with leaders who see their role shifting because of AI and first want to get clear on what they really find important, before they decide where they are going.
Looking at the cohesion and patterns in a whole, instead of at separate parts. With causal loop diagrams I map out what happens when AI enters a process: which feedback loops arise, where there is delay, which "solutions" actually make the problem bigger. This way you avoid an AI project succeeding locally and failing globally.
From vision to concrete actions, and back. With scenarios, the Cynefin model and recognising typical thinking errors I help teams choose where AI really adds value. Strategy, tactics and daily operations align this way, even when circumstances keep changing.
Getting a group to think, collaborate and decide is a profession. I work with formats that let everyone have their say, with the Disney strategy to keep dreams, realism and criticism separate, and with techniques to make resistance productive. This way an AI workshop does not become a demo, but a session in which the team designs its first applications itself.
With a marker and a large sheet of paper I make visible what is said and thought in a group. Complex ideas become simple, memorable images. Together with Karl Mortier I trained Visual Practitioners for years, and during workshops and events I draw along live.
People change through stories, not through slides full of numbers. I help leaders find and tell their AI story: why we are doing this, what it means for you, and what does not change. With structure, tension and strong images, spoken, written and drawn.
I am a certified NLP Practitioner, NLP Master Practitioner and NLP Trainer and Consultant, CBT Practitioner, Life Coach and Mindscaping Coach. For years I taught the courses NLP Practitioner, Visual Practitioner, Facilitation, Systems thinking, Strategic thinking and Business Storytelling myself.
In workshops around AI adoption, in programmes of a few months and in one-on-one coaching. Curious what they can mean for your team?
Hi! I'm Steff's AI assistant. Feel free to ask me anything about her work, her books or how you could work together.
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