“Our enterprise customers ask about AI Act compliance in their procurement questionnaires (SIG 2024, the CAIQ AI addendum, custom HR-tech-specific questionnaires). We have no structured answers to give.”
Module 2 Procurement Evidence Pack delivers ~145 answers to the AI part of buyer questionnaires — HR-tech-specific, not generic SOC 2 answers. Word + Excel + Notion/Confluence import templates, ready for your customer's procurement team.
Module 2 — EUR 3,499 fixed price →“We don't know whether our AI system is Annex III high-risk or not. If it is, what do we have to do?”
Module 1 includes a gap analysis: we screen your AI system against Annex III point 4(a) (recruitment AI) and point 4(b) (employee monitoring), with references to the legal text. If it is high-risk, you get a prioritised list of gaps against the obligations under Art. 16 (provider) and Art. 26 (deployer). The screening is documentation, not legal advice.
Module 1 — EUR 1,499 fixed price →“Article 4 AI literacy has applied since 2 February 2025. How do we document that our staff have 'a sufficient level of AI literacy'?”
Module 1 delivers an Article 4 register: role-based literacy mapping (who operates which AI systems and what level of knowledge is required), an evidence log and a controls memo showing the approval flow.
Module 1 — delivered in 5 business days →“We have had Article 50 transparency disclosure obligations since 2 August 2026 (chatbot/AI assistant disclosures). What do disclosure templates look like?”
Module 2 includes an Article 50 disclosure checklist, chatbot disclosure templates (DA + EN) and AI-content marking notation. Ready to implement without a three-month project.
Module 2 — delivered in 14-21 days →“Our AI pipeline uses US-hosted LLM providers (OpenAI, Anthropic). Schrems II + the CLOUD Act — what does compliance say?”
Module 1 + Module 2 document your data flow, including the sub-processor list and Standard Contractual Clauses (Module 2) for EU→US transfers. AI drafts are generated with Anthropic Claude (USA, SCCs) from the customer's AI inventory; the evidence documents themselves are rendered deterministically from templates, and a named person (Alexander Englund) reviews and signs them before delivery. We cite EDPB guidance and specific article references.
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