The AI Workshop That Actually Sticks: Practice Over Theory

You know the drill: your team sits in a room, someone gives an inspirational talk about ChatGPT, everyone feels energized for two hours, and two weeks later nobody has done anything. Why? Because inspiration alone isn't enough. The real magical transformation happens when you yourself work with AI, with your own data, your own problems, your own context.

In this article, I'll outline the difference between an inspiration session, a real workshop, training, and a full adoption program. And why one-size-fits-all simply doesn't work.

The Problem with Standard AI Training

There are countless AI workshops in the Netherlands. Many of them are... to put it mildly, not very useful. I see this a lot:

• The slideshow approach: 2 hours of PowerPoint about how ChatGPT works, followed by some vague tips. Result: nobody remembers anything.
• One trainer, twenty different jobs: A content manager, a technician, an HR employee, and an IT director get the same workshop. Impossible to address everyone's own use case.
• No data approach: Theory without practice is dead. You need to feel it, experiment, make mistakes.

A large company we worked with once booked such a generic AI training. €30,000 budget. Six months later, maybe two people were actually using AI. For €30,000, that was essentially wasted money.

The Four Levels: Inspiration, Workshop, Training, Program

Let me clearly outline the spectrum:

1. Inspiration Session (1.5 - 2 hours)

This is the "aha-moment session." Someone shows cool things, sketches the possibilities. Goal: create awareness and enthusiasm. Price: low, impact: temporarily also low. Useful as a starting point, but certainly not as an endpoint.

2. Workshop (half day, 3-4 hours)

Now people work. They get laptops, access to tools, and actual prompts and questions to work on. "You're a marketer – try to generate this copy with ChatGPT. What went well, what went wrong?" Much better. Much more concrete. Participants feel in their hands what it can do.

3. Training (full day or multiple days)

Here it gets serious. We build progressively. Day 1 the basics, day 2 specific tools and workflows for your role, day 3 your own project. Participants actually change something in their daily work.

4. Adoption Program (6-12 weeks, multiple sessions)

This is what truly sticks. We start with mapping your processes, then implement AI solutions, and follow up. We don't just train, we measure adoption, provide guidance, adjust. One of our clients said: "This felt like the difference between booking a sports vacation and actually getting fit."

Why One-Size-Fits-All Fails

Let's be honest: your HR manager has completely different AI needs than your product lead.

• HR manager: How can I use AI for recruitment? How do I give people good feedback with AI tools?
• Product lead: How do I analyze user feedback faster? How do I generate product roadmap ideas?
• Account manager: How do I have better conversations with clients by quickly finding relevant data?

A generic workshop with slides about prompt engineering? Not relevant. They tune out.

What does work:

Preparation is everything. Before we organize a workshop, we talk to your team. What are your pain points? What happens daily that could be faster, better, smarter? Then we build the workshop around your context.

We had a logistics company: their people spent five hours a day in spreadsheets. No generic "Intro to ChatGPT" workshop, but specifically: "How do you use ChatGPT to optimize route planning?" Two weeks later, they had a prototype running.

The Ingredients of a Workshop That Works

Here's a checklist for yourself:

• Hands-on is rule #1: Everyone has a laptop, everyone does it themselves.
• Your data and problems: Not pre-chewed examples, but your real cases.
• Smaller groups: 6-8 per workshop, not 20. Otherwise you lose people.
• No slides, at most a few inspirational moments: Lots of whiteboard work, lots of experimenting.
• Full agenda: Morning basics, afternoon your own project, end: presentation of what you built.
• Guidance afterward: You don't just get a certificate, you get a plan. "This is what you're going to do next month."

Real-World: A Case from Amsterdam

A fintech company in Amsterdam first did an inspiration session. Nice, but little effect. They then asked us to set up a half-day workshop for their Operations team (8 people). I said: "Let me first talk to your team."

Turned out they spent 40% of their time on repetitive tasks: email sorting, categorizing customer requests, adapting standard letters.

We built a workshop around that. Day 1: basics of prompts and tools. Day 2: we built together a small AI workflow that would triage their inbox. Day 3: live test with real emails.

Six months later: 15 hours per week saved, team feels better, not threatened. That works.

Not All Workshops Are Equal – And That's Good

Sometimes you really need an inspiration session (your board still needs convincing). Sometimes a half-day workshop is ideal (team already knows AI a bit). Sometimes you need to go serious: a full training.

The keyword: intention. What do you want to achieve? Not "train people in AI" (too vague), but "Our customer service team needs to handle customer requests 30% faster via an AI workflow."

From that intention, you build.