Guides · Risk and compliance

What happens to your data in an AI automation project?

Short answer

In our builds: data stays in your systems and your region, only the minimum needed reaches a model, nothing you send is used to train anyone model, and every access is logged. The questions worth asking any vendor are where data is processed, what is retained, who can see it, and what happens when you leave.

Minimised
Only the fields a step needs are sent anywhere
No training
Your content is not used to train models
Exportable
Logs, prompts and outputs stay yours
Updated August 2026 · Written for people scoping a project, not for search engines

What actually leaves your systems

In most automations, far less than people assume. A step that classifies a ticket needs the ticket text; it does not need the customer payment history sitting in the same record. A step that extracts invoice fields needs the invoice; it does not need the supplier bank details to be included in the prompt.

Minimisation at ingestion is the single highest-value control, and it is a design decision rather than a policy statement. It also tends to improve results, because a prompt carrying only relevant fields is a better prompt.

The five questions to ask any vendor

01

Where is it processed? Which region, which sub-processors, and can the region be pinned. For EU personal data this is a legal question, not a preference.

02

What is retained, and for how long? Prompts and outputs are data. Ask what is stored, where, and how it is deleted.

03

Is it used for training? It should not be, and the answer should point at a contractual term rather than a reassurance.

04

Who can see it? Access model, logging, and whether the vendor staff can read your content in support scenarios.

05

What happens if we leave? What you get back, in what format, and what is destroyed. Ask before signing, not at the end.

GDPR points that come up on nearly every project

Three recur often enough to plan for. First, a legal basis for the processing must exist and be documented — usually legitimate interest or contract, and it is your determination to make as controller, not ours. Second, if the automation makes a decision with legal or similarly significant effect on a person, Article 22 constrains fully automated processing, which is one of several reasons meaningful human review is built in by default rather than as an option.

Third, deletion has to work end to end. A request that removes a record from the source system but leaves it in a vector index or a log is not satisfied. Whatever is built has to be able to forget, and that is a design requirement from day one, not a later feature.

Retrieval and permissions

For anything that searches your documents, the retrieval layer must inherit your existing access model. A system that can answer any question from any document is an access-control failure with a friendly interface, and it usually surfaces the first time someone asks about a colleague salary.

This is also why we prefer to build against an access model that already exists. Inventing one during an automation project means the project now owns a permissions design, which is a much bigger commitment than it first appears.

What we do by default

01

Your infrastructure and region where it matters. Processing pinned to region; no data movement to convenience the build.

02

No training on your content. Configured at the provider level and stated contractually.

03

Full access logging. Who or what read which record, when, and for which step.

04

Human review on anything consequential. Refunds, account actions, payments, clinical or legal outputs stay with a person by design.

05

Documented data flows. A diagram of what moves where, handed over with the build — which is also what your DPO will ask for first.

We work to GDPR-compliant, SOC 2-ready practices. Where a client needs a formal attestation from us rather than from our infrastructure providers, we say so plainly rather than implying a certification we do not hold.

Follow-up questions

What people ask next.

Often yes, and for regulated clients it is usually the right answer. It changes the cost and the operational model, so it belongs in the audit rather than being discovered afterwards.

Still unsure whether your process is worth automating?

Bring us the process. We take it apart with you at no charge and give you a straight answer, including when the answer is no.