In 1990, NASA sent back a photograph of Earth taken by Voyager 1 from six billion kilometres away. Carl Sagan called it the Pale Blue Dot. A speck. Everything you know, on a single pixel.
What made that photograph remarkable was what happened next. People all over the world began to think differently about their place in the universe. A single image shifted perspective. That is exactly what a good workshop does. And exactly what most AI workshops fail to do.
The inspiration session epidemic
The average AI workshop for businesses follows a predictable script. A consultant has ChatGPT write a poem. People nod. Someone asks whether AI will take their job. The consultant says something reassuring. Everyone goes back to work.
Three weeks later, nothing has changed.
The problem is the format. Most AI workshops are built around demonstration: look at what the tool can do. That is entertaining, but it rarely leads to action. People leave the room with admiration for the technology and no idea what to do with it on Monday morning.
There is a more fundamental issue underneath. AI is not a tool you learn to use like Excel or PowerPoint. AI changes what work looks like. That calls for a different kind of conversation than "here are the features."
Where it goes wrong
In four out of five workshops we run, the same moment arrives. Someone from the team says: "But don't we already have an AI tool?" And it turns out three people use it, two have never heard of it, and the tool does something entirely different from what it was intended for.
That is a signal. It tells you that people are already searching for solutions to friction in their work. They are doing it alone, without coordination, without direction. We call this Shadow AI, unofficial AI use as strategic radar.
The smartest organisations treat that as information. Where are people already using AI on their own? Those are the places where friction is highest and value is clearest.
What a good workshop actually does
A workshop that works starts with the reality of the participants. Their processes, their frustrations, their daily work. The technology comes second.
Three elements make the difference.
The emotional check-in. Ask the team: what excites you about AI? What concerns you? What changes in your work if AI takes over thirty percent of routine tasks? The answers are revealing. Most anxiety sits with middle management, the people who translate between strategy and execution. If they are sceptical, you are nowhere near done.
The friction inventory. Walk participants through their own work and have them mark where things snag. Where do they lose time? Where do they copy data between systems? Where do they do things knowing it could be done smarter? This is the Follow the Friction principle in action. That inventory yields more than any technology demo ever could.
The first action. End with something concrete. An experiment that can start on Monday. The thinnest possible slice: a specific piece of work, a specific team, two weeks to test whether AI adds value there. The wedding cake comes later. Start with the cupcake. This is also the heart of good AI automation: start small, learn fast.
What it costs and what it delivers
An AI workshop typically takes half a day to a full day. Prices vary, but expect to pay between €1,500 and €3,500 for an in-company workshop including preparation and follow-up.
The return is rarely in the workshop itself. The return is in what happens afterwards. Teams that come back from a good workshop with three concrete experiments instead of a vague sense of "we should do something with AI" save months of exploration and false starts.
The most expensive thing about AI adoption is indecision. A workshop that helps you focus costs less than it saves.
The Pale Blue Dot shifted perspective because it showed people something they already knew but had never truly felt. A good AI workshop does the same. It makes visible where AI actually improves the work of your team.
That dot. That is where you begin.