EU AI Act compliance checklist for AI product teams

The EU AI Act creates obligations that span legal, product, and engineering functions. For CTOs and heads of product at EU-facing startups, the challenge is translating a 144-article regulation into concrete engineering and process tasks. This checklist covers the core obligations across all risk tiers, structured so that a product team can audit their current state and identify gaps before the 2026 deadlines arrive.

What the EU AI Act requires

The obligations that apply to your product depend on its risk classification. For limited-risk systems, Article 50 requires transparency measures: users must be informed they are interacting with an AI when it is not obvious, and AI-generated content must be labelled from August 2, 2026. For high-risk systems under Annex III, Articles 9 through 17 require a risk management system (Article 9), data governance practices (Article 10), technical documentation (Article 11), automatic logging of operations (Article 12), transparency to deployers (Article 13), human oversight measures (Article 14), accuracy and robustness standards (Article 15), and a quality management system (Article 17). Providers must also register high-risk systems in the EU database before deployment (Article 49). GPAI model providers face separate obligations under Articles 51 to 56 with an August 2, 2026 deadline.

What this means for your business

In practice, the most common gaps for early-stage AI product teams are documentation and logging. Most startups have never created formal technical documentation for their models, and many have no structured audit logs that could demonstrate compliance with Article 12. The transparency requirements of Article 50 are operationally straightforward but often overlooked in product design: chatbots, AI writing assistants, and AI-generated recommendations all require disclosure. Human oversight under Article 14 has direct product implications: for high-risk systems, there must be a way for a human operator to understand, monitor, and if necessary override every output the system produces. This is not a documentation checkbox, it is an architectural requirement.

Steps to get compliant

1. Classify all AI features by risk tier: run each against Article 6 and Annex III, then assign an owner and a deadline for each compliance workstream. 2. For any AI feature that interacts directly with end users, implement Article 50 disclosures before August 2, 2026: visible labels on AI-generated content, chatbot identification, and deepfake disclosures where applicable. 3. For Annex III high-risk features, build the Article 9 risk management log and Article 11 technical documentation as living documents, updated with every model change. 4. Implement Article 12 logging for high-risk systems, capturing inputs, outputs, and relevant operational context in a format that can be reviewed by a competent authority, targeting full coverage before December 2, 2027.

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