The Tool Desk
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Start with the data and purpose, then check residency for the specific tier, endpoint, model and processing mode. Review controller and processor roles, subprocessors, third-country access, security, availability and recovery. The documented examples below are due-diligence references, not a legal certification or a finding that any deployment is compliant for your organisation.
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EU residency and GDPR answer different questions
GDPR generally does not require every personal-data workload to be stored or processed physically inside the EU. European Commission guidance says organisations can generally choose where data is stored or processed, subject to exceptions. A customer contract, sector rule, public-sector policy or internal risk standard can impose a stricter location requirement than that general rule.
Location also does not remove GDPR obligations. A dataset that combines personal and non-personal information remains subject to GDPR where personal information is present. Removing names may not be enough if identifiers, free text, device data or other fields can still relate to an identifiable person.
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For data sent outside the EU, the protection provided by GDPR must travel with it:
“When personal data is transferred outside the EU, the protection offered by the GDPR should travel with the data.” — European Commission, Your Europe, “Data protection under GDPR.”
Therefore, treat residency as one control in a broader assessment. You may need EU-only processing for a particular contract, while another workload can lawfully use a non-EU region if an appropriate transfer mechanism and safeguards are in place.
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Define the workload before comparing providers
Provider marketing is difficult to evaluate until you know exactly what the AI system will receive, why it receives it and which systems touch the request. Write a short use-case record before requesting quotes or signing a trial.
Record purpose and lawful basis
- Describe the business purpose, such as summarising support tickets, extracting fields from invoices or assisting internal research.
- Identify the lawful basis and any additional condition required for special-category data.
- Specify whether the model generates advice, makes a decision, ranks people or merely assists a human. Higher-impact uses require stronger governance than a drafting tool.
- Set a retention objective. A provider cannot satisfy a “no retention” requirement if your own application stores prompts and responses indefinitely.
Classify every field
| Data category | Questions to answer | Typical control |
|---|---|---|
| Personal data | Can a living person be identified directly or indirectly? | Minimise fields, document purpose and establish controller–processor terms. |
| Special-category or highly confidential data | Does the request contain health, biometric, racial or ethnic, political, religious, trade-union or similar information? | Use a documented necessity test, stronger access controls and privacy/legal review. |
| Mixed datasets | Do ostensibly non-personal records contain names, identifiers, free text or linkable events? | Assume GDPR applies until the personal elements are removed or irreversibly anonymised. |
| Pseudonymised data | Does your organisation retain the key that can reconnect records to people? | Treat it as personal data; keep the key separate and restrict access. |
| Truly anonymised data | Is re-identification reasonably impossible with information available to you or the provider? | Document the anonymisation assessment and revisit it if data sources change. |
Draw the request path
Make a diagram that starts with the user interface and ends with deletion. Include your application server, the provider’s API or workspace, the selected model endpoint, tool and connector calls, content and safety filters, logging and monitoring systems, support channels, backups, disaster-recovery copies and every subprocessor. Mark where data is stored, where it is processed and which legal entity can access it.
This map often reveals a hidden transfer: the model may run in Europe while telemetry, abuse review, customer support or a connected search index operates elsewhere.
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Verify residency for the exact configuration
Ask for a written scope statement tied to the product tier and configuration you will deploy. “Data is hosted in Europe” is incomplete unless the provider defines which data, which operations and which locations are covered.
| Residency dimension | What to verify |
|---|---|
| Primary storage | Where prompts, uploaded files, outputs, workspace content and account records are stored at rest. |
| Inference or processing | Where the selected model processes each request. Storage in Europe does not prove inference occurs there. |
| Logs and telemetry | API logs, application logs, diagnostic traces, token records and performance data; ask about retention and regional copies. |
| Backups and disaster recovery | Backup locations, replication, recovery testing and whether an outage can trigger restoration outside the chosen region. |
| Safety and abuse monitoring | Whether humans or automated systems review content, from which countries and under what retention period. |
| Support and administration | Countries from which support staff, engineers or privileged administrators may access customer content or metadata. |
| Tools and connectors | External search, storage, plug-ins, vector databases and other services that receive prompts or retrieved documents. |
| Deletion | How deletion requests propagate through active systems, logs and backups, and the time needed for eventual expiry. |
Confirm the endpoint and model, not merely the brand or account type. Availability can differ between chat, completion, embedding, image, fine-tuning, batch and moderation endpoints. It can also differ between a self-service plan, an enterprise workspace and an API contract. Ask the provider to identify exclusions and to notify you before a change removes the regional commitment.
Understand transfers and third-country access
If any personal data, metadata or support access leaves the EU, identify the Chapter V transfer measure. An adequacy decision is one mechanism; contractual safeguards such as Standard Contractual Clauses may be another, subject to the circumstances and any required assessment. Adequacy decisions are periodically reviewed, so record the decision and check its current status rather than treating it as permanent.
Ask what happens when an authority requests data
Residency does not eliminate the possibility that a provider or its group company receives a request from an authority in another country. Ask:
- Which legal entity receives and evaluates the request?
- Does the provider challenge requests that are unlawful, overbroad or incompatible with its obligations?
- Will it notify you where legally permitted and provide information needed for your assessment?
- What technical measures, such as encryption and separate key control, limit access?
- Does the provider rely on a treaty, an adequacy decision, Standard Contractual Clauses or another transfer mechanism?
The European Data Protection Board’s final Article 48 guidance, announced on 5 June 2025, addresses how organisations should assess the conditions for responding to third-country authority requests. Use that guidance with your privacy counsel; a provider’s statement that it “complies with local law” is not a substitute for analysing your transfer.
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Under GDPR, the controller decides why and how personal data is processed. A processor handles data on the controller’s behalf and follows documented instructions. An AI provider may be a processor for one service but have separate purposes or roles for another, so do not infer the role from the company name.
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Confirm the following in the contract and data-processing agreement (DPA):
- The exact contracting entity and the entity acting as processor.
- Permitted purposes, data types and documented instructions.
- Whether prompts and outputs are used to train or improve models, and how an opt-in or opt-out is recorded.
- Subprocessor names, locations, functions and advance-change notification.
- Retention, deletion, return and legal-hold rules.
- Confidentiality, security measures, incident notification and cooperation duties.
- Assistance with data-subject rights, impact assessments, regulator enquiries and audits.
- Termination procedures and export of material needed for continuity.
Read the live subprocessor list as well as the DPA. A list dated several years ago may not reflect the entities involved in your current endpoint or support channel.
Use OpenAI’s published controls as a configuration example
OpenAI’s documentation illustrates why a product-level label is insufficient. Its residency announcement, available when checked on 13 October 2026, describes European data-residency options for ChatGPT Enterprise, ChatGPT Edu and its API Platform. Eligible API customers can choose European processing, and new Enterprise and Edu customers can choose to store customer content at rest in Europe.
| Documented option | What the announcement says | Qualification |
|---|---|---|
| API Platform | Eligible customers can choose European processing. | The live API data-controls documentation lists availability by endpoint and model. Verify the exact endpoint, model and account configuration at implementation time. |
| ChatGPT Enterprise | New customers can choose European storage of customer content at rest. | At-rest storage does not, by itself, establish the location of inference, logs, support access, backups or connected tools. |
| ChatGPT Edu | New customers can choose European storage of customer content at rest. | Confirm the workspace’s enabled features and any exclusions in current documentation and contract terms. |
OpenAI states that business-plan and API data are not used to train models by default unless the customer opts in. That is a provider statement about the stated default, not proof that a particular deployment meets GDPR or a customer’s location requirement.
OpenAI’s DPA, labelled February 2024, gives a provider-specific example of contractual detail: for EEA- or Swiss-origin customer data it names OpenAI Ireland Ltd and describes intra-group transfer mechanisms that may include EU Standard Contractual Clauses or an adequacy decision. The current DPA, service terms and subprocessor list should be checked before relying on those terms; they are not universal wording for other providers.
Evaluate security and operational resilience
Location is only one part of risk. EDPB-hosted training material on cloud AI processing identifies transfer, infrastructure-vulnerability and cloud-outage concerns. Ask for evidence rather than accepting a general security badge.
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Security questions
- Is data encrypted in transit and at rest, and who controls the encryption keys?
- How are tenant boundaries, administrator privileges and service accounts enforced?
- Are access events logged, reviewed and retained for an appropriate period?
- How quickly will the provider notify you of a confirmed breach or suspected exposure?
- Can you restrict support access, require approval or obtain a report of privileged access?
Availability and recovery questions
- What service-level commitments apply to your plan and endpoint?
- Where are failover systems and backups located?
- What are the recovery-time and recovery-point objectives?
- How often are restoration procedures tested, and can the provider supply a summary?
- What is your fallback if the endpoint is unavailable or a regional restriction prevents processing?
Also test latency, model quality, language support, rate limits, integration effort and total operating cost. A technically compliant region that cannot meet availability or accuracy requirements may push staff toward uncontrolled workarounds.
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A practical due-diligence procedure
- Draw the full request path. Include the application, provider endpoint, model, tools, connectors, logs, monitoring, support, backups and subprocessors.
- Mark data categories. Label personal, special-category, confidential, pseudonymised and mixed data. Remove fields that the task does not need.
- Decide whether pseudonymisation is practical. Keep re-identification keys under your control and separate from the AI service where possible.
- Assign roles. Record who determines purposes and means, who processes on whose behalf and which legal entity signs the DPA.
- Shortlist exact configurations. Record plan, region, endpoint, model, retention mode and enabled tools. Do not compare an enterprise workspace with a consumer or self-service setting as if they were equivalent.
- Request a written residency statement. Require coverage and exclusions for processing, storage, logs, backups, safety review, support and connectors.
- Read current legal documents. Review the DPA, service terms, security exhibit, subprocessor list, deletion policy and change-notification process.
- Assess transfers. List every country and entity involved, identify the transfer mechanism and consider whether additional safeguards or a transfer-impact assessment are needed.
- Test operations. Run representative prompts with synthetic or minimised data. Measure latency, error handling, rate limits, logging behaviour and deletion workflows without introducing unnecessary personal data.
- Document the decision. Capture remaining risks, compensating controls, approval owners, review dates and the trigger for reassessment when a model, endpoint, subprocessor or contract changes.
Questions to send to an AI provider
Use precise questions that require a yes-or-no answer or a document reference:
- For this account, endpoint and model, where are requests processed and where are prompts, outputs, logs and backups stored?
- Does “European” mean the EU only, the EEA, or another geographic definition?
- Are safety-monitoring, abuse-review and support operations included in the location commitment?
- Which subprocessors and group entities can access content or metadata, and from which countries?
- What happens to data during failover, disaster recovery and service restoration?
- Is retention configurable per endpoint, and are deletion and backup-expiry periods documented?
- Are customer inputs or outputs used for training, evaluation or product improvement? What is the default and how is consent recorded?
- Which transfer mechanism applies to each non-EU disclosure, and how are authority requests handled?
- How much advance notice is provided for a material change to region, model, subprocessor or terms?
- Can you provide current DPA, security documentation, subprocessor list and independent assurance reports?
Compare candidates with an evidence matrix
Score only what you can prove for the configuration you will buy. “Not stated” is a useful result: it identifies a gap to resolve rather than turning an assumption into a green tick.
| Decision axis | Evidence to record | Why it matters |
|---|---|---|
| Data scope and purpose | Data categories, fields sent, lawful basis and minimisation plan. | Determines whether the workload is necessary and proportionate. |
| Residency | Processing, storage, logs, backups, monitoring, support and connector locations. | Prevents an at-rest-only claim being mistaken for EU-only processing. |
| Roles and contract | Controller–processor allocation, contracting entity, DPA, deletion and audit terms. | Sets enforceable responsibilities and assistance obligations. |
| Transfers and access | Countries, entities, mechanism, authority-request process and technical safeguards. | Addresses access risk that physical hosting alone cannot resolve. |
| Security | Encryption, identity controls, isolation, logging and incident response. | Reduces confidentiality and integrity risk. |
| Resilience | Service commitments, failover geography, recovery objectives and tests. | Limits outage-driven workarounds and data loss. |
| Technical fit | Model capability, endpoint features, latency, limits and integration effort. | Determines whether staff can use the approved service reliably. |
| Total cost | Usage, storage, support, network, monitoring and compliance-work costs. | Prevents a low API price from hiding operational expense. |
Common mistakes and how to correct them
Mistake: treating an EU region as a compliance certificate
Correction: Treat the region as one factual control. Complete the role, purpose, transfer, security and contract assessment for the actual data flow.
Mistake: checking only primary storage
Correction: Ask separately about inference, logs, backups, safety review, support and connectors. Obtain written exclusions.
Mistake: assuming one product’s controls cover every endpoint
Correction: Record the model and endpoint in the approval. Recheck live documentation before enabling a new modality, batch job, embedding service or fine-tuning workflow.
Mistake: ignoring mixed datasets
Correction: Inspect free text, identifiers and linkable events. Apply GDPR to the mixed dataset unless it has been effectively anonymised.
Mistake: accepting a generic DPA
Correction: Confirm the contracting entity, processor role, subprocessor list, deletion terms, transfer mechanism and assistance commitments for your region and service.
Mistake: forgetting provider outages
Correction: Document a fallback, rate-limit behaviour and recovery plan. Test it without sending personal data to an unapproved service.
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Low-risk drafting with non-personal text
A region-specific API may be sufficient if the text is genuinely non-personal, the application controls retention and the provider’s logging and support paths are understood. Keep the classification documented because later users may paste personal information into the same workflow.
Internal business data and pseudonymised records
Use minimisation, segregated keys, strict access controls and a DPA that covers the chosen endpoint. Verify whether metadata or support staff can reconnect records to individuals.
Special-category or regulated information
Require a documented necessity and risk assessment, stronger contractual assistance, explicit transfer analysis and approval from the organisation’s privacy or legal lead. A European storage option alone is not enough.
Customer or public-sector workloads with EU-only clauses
Translate the clause into technical acceptance tests: processing location, failover, backups, support access, subprocessors and deletion. Reject any configuration for which the provider cannot state the scope in writing.
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Review the decision when the provider adds a model or endpoint, changes retention or training defaults, introduces a subprocessor, alters its region architecture, updates the DPA, experiences a material incident or changes its handling of authority requests. Reassess when your own use case changes too: a drafting assistant that once processed public text may later receive customer tickets or employee records.
A defensible approval file should let a reviewer answer five questions without relying on marketing language: what data is sent, why it is sent, where every processing step occurs, which legal and technical safeguards apply, and what happens when the service or contract changes.
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