TL;DR
GDPR requires that AI systems processing customer data have a lawful basis, provide transparency about automated decisions, and store data within the EU when serving European customers. Choose AI providers that offer EU data residency and never train models on your customer conversations.
The EU AI Act is now in force. GDPR enforcement is stricter than ever. And yet, many companies deploying AI for customer support have not verified whether their vendor actually meets the requirements. This is a practical guide to getting it right.
Data residency: where does the data live?
GDPR requires that personal data of EU citizens is handled with appropriate safeguards. The safest approach is EU data residency, meaning all customer conversation data is stored and processed within the European Union. Certainly stores all data in the EU by default.
Model training: the hidden risk
Many AI providers use customer conversations to improve their models. This creates a data processing issue under GDPR: you are effectively sharing customer data for a purpose the customer did not consent to. Certainly never uses customer data for model training. Full stop.
Data Processing Agreements
A DPA is not optional when using AI for customer support. It must specify what data is processed, how it is stored, retention periods, sub-processors, and breach notification procedures. Certainly provides a comprehensive DPA to all clients.
AI Readiness Score
How ready is your team for AI?
6 quick questions. Get a personalised score and action plan.
Try the AI Readiness Score1000+ agents deployed worldwide 路 4.8 on G2
The AI Act overlay
The EU AI Act classifies customer-facing AI as limited risk, which means transparency obligations apply. Customers must be informed they are interacting with AI. The system must be monitorable. And there must be a path to human escalation.
Practical checklist for European brands
Before deploying any AI customer support system, verify: EU data residency, no model training on customer data, signed DPA, clear AI disclosure to customers, human escalation capability, audit logs for all conversations, and role-based access control for your team.
Compliance is not a barrier to AI adoption. It is a filter that separates responsible vendors from the rest.