Technical review often breaks after business handover. Business operators register systems — but technical evidence requires different knowledge, different access, and a different workspace.
EAB gives AI System Owners a structured completion workspace — so technical governance evidence is produced systematically, not assembled under audit pressure.
Business operators and AI System Owners have different knowledge and different obligations. EAB separates the completion workspace so each role works with what they can actually answer.
When the Business Operator completes system registration, the AI System Owner receives a structured technical completion workspace. Business context is pre-populated — the owner completes only what requires technical knowledge.
Data inputs, model type, decision outputs, and deployment environment are documented in a structured format — not a free-text field. The documentation is linked directly to the technical documentation readiness record.
Annex IV requires nine documentation sections. EAB tracks completeness section by section — with an owner, an evidence record, and a readiness status for each. Completion is measurable, not assumed.
Article 14 human oversight documentation is completed in the owner workspace — with named oversight owner, review points, intervention capability, and documented limitations. Each element has its own evidence record.
Article 9 requires a risk management system, not a risk list. The owner documents each identified risk with an owner, a mitigation measure, and a resolution status. Risks are governed objects — not free-text notes.
Evidence artefacts uploaded by the owner are automatically linked to the relevant obligation area. The supervisor receives a complete evidence picture — not a folder of unnamed files.
Guided technical completion is not a form — it is a structured process that produces review-ready governance evidence for the supervisor approval that follows.
The Business Operator registers the system with business context — purpose, deployment, sector, and applicability signals. The AI System Owner is named and receives access to the technical completion workspace.
The owner works through structured completion tasks — architecture, outputs, oversight mechanisms, risk management, and technical documentation. Each section has a completion state. The workspace shows what is done and what remains open.
Technical evidence — test records, architecture diagrams, oversight agreements, training records — is uploaded and linked to obligation areas. The supervisor will see evidence in context, not as a file list.
The supervisor receives the full technical completion record — with completion status per section, uploaded evidence, and obligation coverage. Approval is based on a complete technical governance package, not a summary.
Technical governance evidence is not assembled under audit pressure. It is produced systematically — section by section, linked to obligations, ready for supervisor review.
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