GDPR-compliant AI assistant for your business: what is actually required
An internal AI assistant can be fully GDPR-compliant, but it depends on where the data lives, who can see what, and whether your content is used to train someone else's model. Keep data in the EU, make retrieval permission-aware, set clear retention, and get a data processing agreement. These are solvable engineering choices, not blockers.
Plenty of EU businesses want an internal assistant that can answer questions from their own documents and data, and then stall on one worry: is this allowed under GDPR? The short answer is yes, and the longer answer is that compliance comes down to a few concrete decisions you make when the system is built.
Where does the data live
This is the first question and the one most off-the-shelf tools answer badly. If your documents, the search index built from them, and the model calls all stay within the EU, you have removed the biggest source of risk. We build with EU data residency by default, so your internal data does not leave the region.
Is your data used to train a model
A generic consumer AI tool may use what you type to improve its models. For internal business data that is usually unacceptable. The fix is to use providers and configurations that contractually do not train on your data, and to keep your knowledge base in systems you control. Always confirm this in writing.
Who can see what
An assistant that can read every document in the company is a data breach waiting to happen. The assistant must respect the same permissions your people already have, so it only surfaces what a given user is allowed to see. This is called permission-aware retrieval, and it is the difference between a safe internal tool and an accidental leak.
Retention, logging, and the right to erasure
- Set a clear retention policy for prompts and answers, and delete on a schedule.
- Log access so you can show who asked what, without storing more than you need.
- Make sure personal data can be found and removed when someone exercises their right to erasure.
- Sign a data processing agreement with anyone who handles the data on your behalf.
What to ask any vendor
- Where exactly is our data stored and processed?
- Is our content ever used to train a model? Get it in writing.
- Can the assistant respect our existing access permissions per user?
- Who owns the system and the data, and what happens if we leave?
The honest summary
None of this is exotic. It is a set of engineering and contractual choices that we make at the start of every internal-tools build. Done right, you get an assistant that is genuinely useful and that your data protection officer can sign off on. We build these GDPR-native, with EU data residency, and you own everything we deliver.
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