EU AI Act & GDPR: what to watch for in AI projects in 2026

Compliance isn't a brake, it's a design principle. The key duties — and how to build them in early instead of bolting them on expensively.

Since the EU AI Act came into force, the question is no longer “whether” but “how” to use AI compliantly. The good news: building compliance in from the start produces better systems — not slower ones.

The essentials, briefly

  • Determine the risk class. Most enterprise applications are “limited risk” — with transparency duties, not high-risk obligations.
  • Transparency. Users must know when they’re interacting with AI or when content is AI-generated.
  • Privacy by design (GDPR). Data minimisation, purpose limitation, a deletion concept — and ideally data that never leaves the building.
  • Traceability. Log what the system suggested and on what basis. That protects you in doubt and improves the model.

Compliance and good architecture pull in the same direction: clear boundaries, verifiable decisions, no data sprawl.

How we approach it

We clarify the risk class before the first line of code, keep the human in the decision, and host fully in the EU on request. That turns “compliant” from an afterthought patch into part of the design.

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