AI integration built around
GDPR, not around hoping it doesn't apply.
Any AI system that touches personal data falls inside GDPR, whether or not that was the plan going in. We architect for it from the start — data residency, right-to-erasure, and a full audit trail — instead of retrofitting compliance once a Data Protection Officer asks the hard questions.
A design constraint,
not a checkbox.
GDPR applies the moment personal data is involved — which, in practice, is most production AI systems. Lawful basis, data minimization, residency, retention, and the right to erasure aren't a compliance review you run after launch; they're architecture decisions that are cheap before code is written and expensive after.
See our full Trust & Safety framework for the underlying architecture — this page is specifically how it applies for UK and EU teams building on personal data.
GDPR principles,
mapped to architecture.
The same decisions we make on every project, specifically mapped to GDPR's requirements.
| GDPR requirement | What we build |
|---|---|
| Data residency | Processing and storage constrained to your required region, configurable at the infrastructure level — and we'll tell you plainly which model providers do and don't support it. |
| Right to erasure (Art. 17) | Configurable retention policies and deletion pipelines, so an erasure request is a supported operation, not a manual search across logs and embeddings. |
| Data minimization | Redaction and minimization at the pipeline layer — only the data a step actually needs reaches it. |
| Accountability & audit | Role-based access control with a full audit trail of every call, input, and output. |
| Transparency (Art. 13–15) | Explainability layers for automated decisions, so you can tell a data subject — or a regulator — why the system produced a given output. |
No sales pitch,
just how we work.
Four things that are true of every engagement, not just this one.
Built inside your existing stack — not a rewrite, and not a 7-month hiring cycle.
You know the number before you sign. No open-ended retainer.
Security, data handling, and compliance commitments on paper — not a verbal promise.
You own the code and the model config at project completion. We don't hold it hostage.
Before you
book a call.
The questions we get asked most about GDPR and AI — answered straight, no sales pitch.
Is your AI system GDPR compliant?
No system is "GDPR compliant" on its own — GDPR compliance is an organizational and legal responsibility your business holds, not a feature a vendor ships. What we build are systems architected around GDPR's technical requirements: data residency controls, right-to-erasure pipelines, and a full audit trail of what data moved where.
Does our data leave the UK or EU?
We architect processing and storage to stay within your required region wherever the underlying model providers support it, and we'll tell you plainly which providers do and don't before you commit to one. Data residency is a configuration we design for at the infrastructure level, not a policy statement after the fact.
How do you handle a right-to-erasure request?
We build configurable retention policies and deletion pipelines into the system from day one, so honouring a GDPR Article 17 request is a supported operation, not manual data archaeology across logs, embeddings, and model context.
What do you actually deliver for a GDPR-relevant project?
The same Trust Spec we deliver on every engagement, with the compliance section mapped to GDPR specifically — lawful basis and data minimization, residency, retention and deletion, and the access controls and audit trail a Data Protection Officer would ask to see.
Tell us what
you're trying to build.
Book a 30-minute call — we'll tell you honestly what a GDPR-safe architecture would actually look like for your system.