Data, platforms and European law
Timeline
- Since Feb 2025: EU AI Act Article 4: AI literacy now mandatory
- Since Aug 2025: General provisions of the EU AI Act in effect
- CLOUD Act: US government can demand data from American companies, regardless of server location
Most organisations work daily with tools from large American tech companies: Microsoft, Google, Amazon. Convenient, deeply integrated, hard to replace. But under the surface, something is shifting. The US CLOUD Act gives American authorities access to data stored by US companies, regardless of where that data physically resides.
This is not theoretical. In 2024, the US government seized 67% of all domain names (over 16,500) under American jurisdiction. In March 2025, the Dutch parliament passed multiple motions calling for reduced dependence on American tech platforms.
At the same time, European regulation is tightening. The AI Act, NIS2 and GDPR all impose stricter requirements on where data goes, how AI is used, and who is accountable. Organisations that don't act now risk compliance issues, vendor lock-in and loss of control over their most valuable asset: their data.
What we do
We help organisations take back control of their digital environment in three tracks: each one self-contained, strongest in combination.
Training
Workshop covering risks of American software, European alternatives and regulatory requirements.
Consultancy
Full organisation scan, risk analysis and migration roadmap.
Development
Move to European AI tools. From local models to cloud integration.
How we work
We are independent. We do not resell software and we do not receive referral fees from vendors. Our advice is based solely on what is best for your organisation. That means honest assessments, realistic timelines and recommendations you can trust.
One partner for the full journey
Most organisations need more than one track. We combine training, consultancy and development into a single, coherent programme, so you don't have to coordinate between three different suppliers. Start wherever makes sense, and scale from there.