We have now found a simple way to build AI competence in the organisation

We haven't found a simple way to build 𝐀𝐈 competence in the organization zone

Send everyone on a course!

Or maybe not. This was an attempt at a bad 𝐀𝐩𝐫𝐢𝐥𝐬𝐧𝐫𝐫𝐫:

Many managers are waiting for AI – can you imagine why? It's not about because they don't want to, but because they don't see where to start. It is largely understandable.

In recent months, I have attended several courses and gatherings about AI. I like it. It provides energy, new perspectives and a language to understand what is happening.

But one thing has become very clear: development is not happening there. It only happens when AI is moved into everyday working life and connected to decisions that actually matter.

So far in this AI series, I've written about judgment, structure, and how humans react when AI starts giving advice. Now I move on to what many managers are actually concerned with:

How is value created in practice?

In commercial teams, I see a clear distinction. Someone is testing AI on the site. Create texts, summarize documents, try things out. It's useful, but it doesn't move much. Others connect AI directly to core decisions:
• Which customers should be prioritized?
• Which offers should be followed up now?
• Where is the real probability of winning?

That is WHERE the difference occurs.

A model can analyze the pipeline and suggest the next best course of action. But the value is not in the answer. It lies in what the team does with it. Do they test the recommendation? Do they challenge it? Do they adjust the decision?

That is where the COMPETENCE is built. Not in the tool, but in the interaction between experience, data and assessment.

I notice it myself when I build and test AI tools. Small changes in context or input produce different recommendations. It makes one thing clear in the form that this is not something you "completely learn". You develop it through use. Therefore, I think many people overestimate the need to start with technology. The most important thing in the initial phase is not new systems, but connecting AI to decisions that are already made today.

The businesses that are most successful do not build AI expertise alongside their operations. They build it in the line.

For the next week I will be building and testing AI agents. It involves the use of various tools, but primarily learning, testing and challenging what I do and the answers that are given.

👉 In the next post, I look more closely at how to identify the right AI use cases to start with.

Happy Easter!