April 26, 2026
EU AI Act & Vendor Documentation: Preparing for AI Governance Questions
Emerging buyer questions on AI systems documentation, human oversight, and training data—mapped to questionnaire prep.
EU AI Act vendorAI governance questionnaireAI system documentation
The EU AI Act and broader AI governance movement are showing up on vendor security and procurement forms—even for vendors headquartered outside the EU. Buyers ask whether your product uses AI, what models or providers are involved, how human oversight works, what logging exists, whether training data touches customer content, and which subprocessors perform inference.
Questionnaire answers should match a short internal AI factsheet that engineering, security, and legal have agreed on—otherwise sales will improvise and create compliance debt.
Build a one-page AI product factsheet
Include:
- Use cases — e.g., RAG over customer-uploaded docs only; no model training on customer data (if true)
- Providers — OpenAI, Azure OpenAI, Anthropic, local LLM, etc.
- Data flow — what is sent to the provider, retention claims per DPA, region of processing
- Human review — default stance for high-risk customer workflows ("customer responsible for final approval")
- Logging — prompt/response logging off by default, audit events available (as applicable)
Upload this factsheet to your knowledge vault as the canonical source for AI rows.
Map questions to roles
Some forms confuse your use of AI (internal) with AI features you sell. Separate answers clearly. If you sell AI-assisted questionnaire drafting (SecureFlow does), disclose provider and data handling the same way you expect your vendors to.
Emerging regulation disclaimer
EU AI Act obligations vary by role, risk classification, and timeline. Questionnaire language should not overclaim compliance without counsel review. Prefer factual descriptions of controls and documentation you maintain.
Connection to security fundamentals
AI sections still intersect access control, encryption, and subprocessor due diligence. Cross-link to API security and subprocessors narratives for consistency.
Why RAG is a governance-friendly pattern
Retrieval-augmented answering limits hallucinated controls—relevant for your customers' AI vendor reviews of you, and for how SecureFlow is designed (RAG article).
Evolving law—consult qualified counsel. Start free on SecureFlow.