Airtable and GDPR: Does Airtable Have a Data Processing Agreement?
Yes, Airtable does offer a Data Processing Agreement (DPA) — but it is only available on Airtable Enterprise plans. German and DACH companies evaluating Airtable under GDPR need to go beyond DPA availability: data residency, AI feature data flows, and works council obligations all require attention before deployment. For comparison with other AI-enabled data and project platforms, see the AI tools assessed by Compound Law.
What is Airtable AI?
Airtable is a cloud-based database and project management platform headquartered in the United States. It combines spreadsheet-style data management with relational database functionality, and has expanded its offering with Airtable AI — a suite of AI-powered features embedded directly into the platform. These include field-level AI actions such as text summarization, record classification, sentiment analysis, and data extraction from unstructured content.
Because Airtable processes business and operational data — which often includes employee records, customer information, and project data — on behalf of its customers, it functions as a data processor under GDPR Article 28. A valid Data Processing Agreement is required before processing personal data through the platform in a professional context in Germany or the EU.
Is Airtable GDPR-Compliant?
Airtable can be used in a GDPR-compliant manner on Enterprise plans with the correct contractual and technical setup. Business and Pro plan users are not covered by a DPA and should not use Airtable for processing personal data in a professional context under GDPR.
Key points for German companies:
- DPA availability: Airtable provides a DPA for Enterprise customers. Lower-tier plans (Business, Pro, Free) do not include DPA coverage.
- AI training data: Airtable states that customer data is not used to train Airtable’s AI models. Verify the current terms, as AI training policies can change with product updates.
- Data residency: Airtable processes data on infrastructure in the United States. Enterprise customers may be able to negotiate specific data handling arrangements — verify with Airtable’s sales team.
- Sub-processors: Airtable maintains a list of sub-processors, which includes infrastructure providers and third-party AI model APIs used for Airtable AI features.
- Standard Contractual Clauses: Airtable includes SCCs in its DPA to cover data transfers from the EU/EEA to the United States.
- EU-US Data Privacy Framework: Airtable participates in the EU-US Data Privacy Framework (DPF), providing an additional transfer mechanism for personal data flows to the US.
Airtable DPA and SCCs
Airtable’s Data Processing Agreement covers its processing of personal data on behalf of Enterprise customers, including data processed through Airtable AI features. For German companies, the DPA is necessary but not sufficient on its own.
Before deploying Airtable in a context that involves personal data, you should also:
- Confirm that Standard Contractual Clauses are in place for data transfers from the EU to Airtable’s US-based infrastructure and sub-processors.
- Update your Records of Processing Activities (Verzeichnis von Verarbeitungstätigkeiten, Article 30 GDPR) to include Airtable and its sub-processors.
- Conduct a Data Protection Impact Assessment (DPIA) if Airtable will be used to process special category data (Article 9 GDPR) or data relating to a large number of individuals.
- Monitor Airtable’s sub-processor change notifications — Enterprise DPAs typically include notification rights when new sub-processors are added.
For comparison, see how Monday.com handles GDPR — another project management tool with Enterprise-tier DPA coverage — and Notion’s GDPR setup for database-style tools.
Airtable AI Features and GDPR
Airtable’s AI features introduce data protection considerations beyond standard database operations:
AI field actions (summarization, classification, extraction) process the content of records — which may include names, contact details, project descriptions, or other personal data — through Airtable’s AI infrastructure. For Enterprise accounts, Airtable confirms this content is not used for model training.
AI-generated content based on user prompts may also involve third-party model APIs as sub-processors. Review Airtable’s current sub-processor list to identify which AI providers are involved when AI features are enabled.
Automated record processing: Airtable allows AI actions to be triggered automatically through automations. If these automations process personal data without human review, assess whether this constitutes automated decision-making under GDPR Article 22 and whether any of the affected individuals are data subjects whose rights need to be addressed. Where Airtable AI is used to manage employee tasks or automate work scheduling, also review AI employee monitoring compliance and AI scheduling optimization compliance requirements.
For broader guidance on AI tool compliance, see our AI writing assistants and GDPR guide.
Data Residency Options
Airtable’s infrastructure is primarily US-based. Standard Contractual Clauses and DPF participation address the legal basis for EU-to-US data transfers, but do not change where data is physically stored or processed.
German companies with strict data localisation requirements — for example, in regulated sectors such as financial services, healthcare, or public sector — should carefully assess whether Airtable’s infrastructure arrangements are compatible with their specific obligations. Enterprise customers may have options to discuss data handling arrangements directly with Airtable.
Our Assessment
For German operations and project teams, Airtable Enterprise is deployable with proper setup. A DPA is available, AI training data exclusions apply, and sub-processors are documented. The compliance steps are the same as for other US-based cloud tools with AI features: sign the DPA, confirm SCCs, review sub-processors, and consult your Betriebsrat if the tool will be used across teams. Airtable AI is widely adopted by professional services companies and teams managing HR and recruitment AI compliance workflows where structured data and AI-driven automation intersect.
We do not recommend using Airtable Business or lower-tier plans for any professional work involving personal data — there is no DPA, and the data handling terms are not appropriate for GDPR-regulated use.
Compound Law can assist with DPA review, SCC implementation, DPIA preparation, and works council negotiations for Airtable deployments.
Frequently Asked Questions
Does Airtable have a DPA (Data Processing Agreement)?
Yes, Airtable provides a Data Processing Agreement for Enterprise customers. Lower-tier plans — including Business, Pro, and Free — do not include DPA coverage, making them unsuitable for professional use involving personal data under GDPR.
Is Airtable GDPR compliant for German companies?
Airtable can be used in a GDPR-compliant manner on the Enterprise plan with a signed DPA, Standard Contractual Clauses for US data transfers, updated records of processing activities, and a DPIA where required. Lower-tier plans are not suitable for GDPR-regulated use.
Does Airtable use customer data to train AI?
Airtable states that customer data is not used to train its AI models. However, AI training policies can evolve — check Airtable’s current terms of service and DPA before deployment and after any major product updates.
Is Airtable DSGVO-konform?
Airtable kann auf dem Enterprise-Plan DSGVO-konform eingesetzt werden, wenn ein AVV abgeschlossen, Standardvertragsklauseln für US-Datentransfers vorliegen und das Verarbeitungsverzeichnis aktualisiert wurde. Günstigere Pläne ohne AVV sind für die berufliche Nutzung mit personenbezogenen Daten nicht geeignet.
What are Airtable’s sub-processors for AI features?
Airtable maintains a published sub-processor list that includes third-party AI model providers used when Airtable AI features are enabled. Review the current list on Airtable’s website, as sub-processors can change as AI features evolve.
