Insights
Insights
What we learn at organisations and departments of 50 people and up: about AI doing the work, adoption and the people who manage it.


AI strategy for management: from experiment to competitive advantage
How does the management of a mid-market company build an AI strategy that pays off instead of scattered experiments? Start with business value, not tooling.
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AI training for teams: from knowledge to behavior (and the EU AI Act)
Training a team in AI only works when knowledge becomes behavior: champions, winning over the broad middle, measuring on hours saved, and meeting EU AI Act Article 4.
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AI adoption in the Dutch SME: why it stalls around month 3
Why AI adoption in SMEs stalls around month 3, and what actually works: MT buy-in, broad training, internal champions and the 50% to 97% autonomy jump.
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Your best people are doing work a computer could do
AI is moving to the core of your business. Adoption needs leadership, not a tool. The real gain isn't cost savings: it's freeing up your best people.
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AI for SMEs: you don't need an IT department to get started
A tiling specialist saves 6 hours a week with a Claude subscription costing €20 a month. No IT department required. How you, as an SME director, can get started today.
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From AI pilot to organization-wide adoption
You assign a team to build an AI tool that works perfectly. Three months later, only that same team uses it. Here's how to actually scale.
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Save time for your best people with AI
For most organizations, starting with AI sounds like a massive project. Yet you can take steps today, without replacing your entire IT environment.
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95% of AI implementations deliver no ROI
Many organizations invest in AI to work more productively. Yet organization-wide impact often fails to materialize. Research from MIT shows only 5% achieves that breakthrough.
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Which process should you start with?
We know that after a half-hour call. Then you also know whether we are the right partner.
