Build your company's Data Governance with full autonomy
Roles, quality, catalogue and data access: the structure required by Art. 10 of the AI Act, and one you need whether or not the AI Act exists. Phase by phase, with the exact templates for each step.
Does this sound familiar?
Nobody knows for sure who "owns" each table or dataset.
Every department has its own version of "the truth" and the numbers don't match.
There's no way to know who accessed which data, or when.
When someone asks "where does this data come from?", you improvise an answer.
1. Do you have a documented data catalogue?
2. Does every dataset have an assigned owner (Data Owner)?
3. Do role-based access policies exist (who can see what)?
4. Do you audit data quality on a regular basis?
Five pillars, one goal: data you can trust
It's not a tool you buy: it's a structure you build. With the AI Act on the table, Art. 10 requires governance of training data for high-risk AI systems — and that foundation is built here.
6 guided phases, with a deliverable in each
Click each phase to see what you'll do and which template you'll get.
Choose your profile
Already using or planning to use AI in your company? You might want the AI Governance path → first.
The same result, with full control in your hands
| Dimension | Traditional approach | Data Governance path |
|---|---|---|
| Cost | €8,000 – €30,000+ | From a single template to the full pack |
| Time | 3–6 months of meetings | 8–12 weeks, at your own pace |
| Deliverables | Generic, reused PDF | Editable templates, yours to keep forever |
| Dependency | High: you pay for every revision | None: you control the process |
Ready-to-fill templates — buy now
The whole catalogue in one download
AI Act · Data Governance · NIS2 · GDPR · ISO 42001. Also includes the resources from the AI Governance path.
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Before you ask
Do I need prior technical knowledge?
Does this replace a DPO or a legal consultant?
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Can I start with just a single template?
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