Guide
Data protection and AI compliance: process, approach, and what we need from you
The process for data protection and AI compliance from the first question to ongoing operations — including what you need to contribute for it to work.
A data protection and AI compliance project runs in 4 steps: from “taking stock” to “implementing and documenting,” 3 to 5 weeks in total. Each step ends with a clear approval before the next one begins.
01 — Process
The steps in detail
Taking stock
What is being used, by whom, with what data. Usually more than management is aware of.
Classification
Risk class per application, and the specific obligations that follow.
Writing the rules
A policy that's short enough to actually be read.
Implementing and documenting
Build in labeling, document training, file the records.
02 — Participation
What we need from you
- A contact person who can make decisions — not just forward them.
- Access to the affected systems, in time and not on launch day.
- Real examples from daily business — the messier, the more useful for testing.
- Two to four hours for coordination, distributed over the project duration.
- An answer to the question of what success means. Without it, nothing can be assessed afterward.
03 — Scope
What's included
- Inventory: which AI tools are actually being used in the business
- Classification under the EU AI Act — risk class and resulting obligations
- Review of the data protection situation for each tool, including data processing agreements
- Usage policy that's practical in everyday work rather than just formally correct
- Implement labeling requirements for chatbots and AI-generated content
- Proof of AI competence through documented training
04 — Questions
Frequently asked questions
Do AI-generated texts need to be labeled?
For content that is published and synthetically generated or substantially modified, yes. Purely internal use — research, drafts, summaries — typically does not trigger this obligation.
How often does the inventory need to be updated?
Whenever a new tool is introduced or the purpose of an existing one changes. An annual review as a minimum interval makes sense, even without a specific trigger.
Does this also apply to sole proprietorships?
Yes. The AI Act doesn't distinguish by company size, but by purpose and risk. Anyone with a chatbot on their website is affected — regardless of whether one or a hundred people work in the business.
What if we use multiple AI tools from different providers?
Each tool is assessed individually — provider, data processing, and risk class differ. The usage policy summarizes the results so no one has to look up each tool separately.
May we enter customer data into ChatGPT?
In the free version without contractual safeguards: no. With a business account, data processing agreement, and training excluded, it may be permissible — depending on what data is involved. Precisely this distinction belongs in the usage policy, because it's constantly relevant in daily operations.
What does the EU AI Act specifically require of us?
For most businesses, it comes down to two things: transparency and competence. Transparency means people must recognize when they're speaking with an AI system or seeing AI-generated content — this has been in effect since August 2026. Competence means the people deploying such systems are adequately trained to do so. Both are documentable and achievable with manageable effort.
Do we need a data protection impact assessment?
Not generally. It becomes necessary when the processing is likely to pose a high risk to data subjects — such as extensive profiling. For an FAQ chatbot on a website, it's usually not required. We review this case by case and document the result in writing.
05 — Decision
How to move forward
The most affordable next step is a conversation, not a quote. Twenty minutes is usually enough to clarify whether a project makes sense, what scope it involves, and whether we're the right fit.
If we're not, we'll say so. An honest no costs less than a project you abandon after three months — for both sides.
06 — Next
Related pages
- Data protection and AI compliance — Overview
- Data protection and AI compliance — Funding
- Data protection and AI compliance — provider comparison
- Data protection and AI compliance — cost-effectiveness
- Data protection and AI compliance — team and acceptance
- Data protection and AI compliance — duration
- Data protection and AI compliance — implementation
- Data protection and AI compliance — alternatives
- AI Consulting
- AI training
- AI chatbot
- All guides
Data protection and AI compliance by region
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