AI Data Governance Policy Template (GDPR + EU AI Act)

The Data Risk AI Creates

AI tools create a new category of data risk. When employees paste customer data, financial records, or proprietary information into an AI system, that data may be used to train future models, stored by the vendor, or exposed in a breach. The EU AI Act requires data governance documentation for AI systems. GDPR Article 25 requires data protection by design. Without a specific AI data governance policy, organizations have no enforceable rules and no defense when a regulator asks what happened to their data.

What an AI Data Governance Policy Must Include

• Data classification taxonomy — public, internal, confidential, restricted
• AI usage rules by classification level — what may and may not enter AI systems
• Approved AI tools by data classification, with conditions of use
• PII and sensitive data handling requirements specific to AI interactions
• Data residency and cross-border transfer restrictions for AI tool vendors
• Vendor data processing agreement requirements aligned to GDPR Article 28
• Breach notification obligations when AI tools are involved
• EU AI Act training data documentation requirements for high-risk systems
• Employee training requirements on AI data handling

Where Data Governance Programs Fail

• Assuming existing data governance policies cover AI — they almost never do
• No vendor data processing agreements for AI tools used with customer data
• Employees not trained on what data is and is not permitted in AI systems
• No distinction between AI tools approved for different data sensitivity levels
• No process for reviewing AI vendor data handling practices as they change