Use AI. Protect data. Both at once.
European data protection is not an obstacle – it is your competitive advantage. We help you harness the full power of generative AI without compromising privacy, compliance or employee acceptance.
Why EU data protection is your advantage.
GDPR compliance is not an obstacle – it is a quality mark that builds trust.
Trust as a business asset
Your customers and partners demand GDPR compliance. Those who use AI responsibly and can prove it earn trust.
Risk management
Uncontrolled AI is a business risk. Autonomous agents without oversight can escalate errors at machine speed.
Planning certainty
GDPR and the EU AI Act provide a clear framework. Those who prepare now avoid costly retrofitting.
Our data privacy approach.
Four principles that guide every AI solution we build from day one.
Privacy by design
Built in from the start – not bolted on afterwards.
Data sovereignty
Your data belongs to you.
Transparency
No black boxes. Everything documented.
Data minimization
Only process the data that is necessary.
How we protect your data.
Concrete technical and organizational measures – no empty promises.
01 Data processing
| Local processing | AI models run on your infrastructure – data never leaves your network |
| EU cloud | Where cloud is necessary: exclusively EU-certified providers |
| Data anonymization | Personal data is automatically detected and sanitized |
| Encryption | TLS in transit, AES-256 at rest |
| Data minimization | Only necessary data is processed |
| Deletion policy | Clear retention periods and automated deletion |
02 Access control
| Role-based permissions | Only authorized personnel have access |
| Audit trails | Every interaction is logged |
| Human-in-the-loop | Critical decisions are never fully automated |
| Kill switches | AI agents can be stopped at any time |
03 Compliance documentation
| Processing records | Complete documentation per Art. 30 GDPR |
| DPIA | Data protection impact assessments for high-risk applications |
| Data processing agreements | Clean DPA contracts with all service providers |
| Model documentation | Which model, which training data, which limitations |
GDPR & EU AI Act – What you need to know.
The regulatory framework for AI in Europe – and how we ensure compliance.
GDPR and AI
Every AI processing operation needs a legal basis. We help you identify the right one.
Data subjects must know that their data is being processed by AI.
Access, deletion, objection – also applies to AI processing.
Our human-in-the-loop approach ensures compliance.
EU AI Act
Most mid-market applications fall into low-risk categories – but the classification must be documented.
Extended labeling requirements for certain AI systems.
High-risk systems require extensive technical documentation.
Setting up properly now avoids costly retrofitting and fines.
Works-council-friendly AI adoption.
AI projects developed together with the works council fail less often.
Introducing AI touches co-determination rights. This is not a hurdle – it is an opportunity to adopt AI in a way that is supported by the entire workforce.
✓ Transparent policies
AI usage guidelines everyone can understand.
✓ Works agreements
Templates that anticipate common points of contention.
✓ Traceable rollout
Every step documented: which tool? Which data?
✓ Works council training
What is generative AI? What rights and obligations arise?
Open-source LLMs: Full control.
Not every AI application needs to run through US cloud services.
Models like Llama and Mistral now offer quality sufficient for many enterprise applications.
We recommend a pragmatic approach: cloud for general tasks without sensitive data. Local or EU-hosted for HR, finance, customer or health data.
GDPR text sanitization with n8n.
How data protection and AI work together – a concrete example.
How data protection and AI work together – a concrete example.
The problem
Before texts are passed to an AI model, personal data must be detected and removed.
Our solution
An automated n8n workflow that detects PII in texts and sanitizes them in a GDPR-compliant manner.
Why it matters
Sensitive data never reaches the AI provider in the first place – this is the foundation of our privacy architecture.
→ Detailed case study with technical details coming soon in the resources section.
Frequently asked questions about data privacy & AI.
Answers to the most important questions from our clients.
Can we use ChatGPT/Claude in our company?
+Who is liable if our AI makes a mistake?
+Do we need to involve the works council?
+Can we use AI without sending data to the cloud?
+What does GDPR compliance cost for AI projects?
+Data privacy and AI do not have to be a contradiction.
Let us find out how you can use generative AI securely and compliantly.
Schedule a free consultation →