AI System Registry · EU AI Act Art. 49

Register AI systems as governed objects, not loose entries.

AI governance fails before screening begins — when nobody can say which AI systems exist, who owns them, and which require review.

EAB turns AI system registration into the first layer of operational governance: structured, owned, and connected to every downstream obligation.

EU AI Act Art. 49 Ownership tracking Lifecycle control
AI System Registry · Governance Layer 1
Structured system registration with context capture
Named ownership per system and per role
Lifecycle status: active, decommissioned, under review
Direct intake into AI Screening workflow
Linked obligation set per system
Audit trail from first registration
Why governance fails without a registry

AI governance fails before screening begins.

Spreadsheets, procurement lists, and informal inventories cannot support the accountability that EU AI Act obligations require. EAB replaces them with governed system objects.

Art. 49 · Registration

Structured System Entry

Every AI system is registered with a structured intake: name, description, deployment context, intended purpose, and initial applicability signals. Not a free-text field — a governed object from entry.

Accountability

Named Ownership per Role

Each system has a named AI System Owner and Business Operator. Ownership is not optional — it is a governance requirement. Unowned systems surface immediately as a gap.

Lifecycle

Lifecycle Status Tracking

Systems move through lifecycle states — registered, active, under review, decommissioned. Each state transition is logged. Decommissioned systems remain in the record; they are not deleted.

Workflow

Direct Screening Intake

Registered systems flow directly into AI Screening. The registry is the intake point for the entire governance workflow — not a separate step that needs to be manually connected.

Obligations

Linked Obligation Set

Obligation areas are determined by system characteristics. Once a system is registered and screened, the obligation set becomes visible. No manual obligation mapping required.

Audit Trail

Governed from First Entry

Every registry action is timestamped and attributed. Who registered the system, when, with what context. The audit trail begins at registration — not at the point of a review request.

From unknown AI use to governed system entry

From scattered AI use to structured governance.

The registry is the first step in the EAB governance flow — every downstream obligation, screening, evidence record, and approval traces back to it.

1
Business Operator

Register the system with structured context

The Business Operator initiates system registration — capturing name, purpose, deployment context, and initial applicability signals. Guided intake ensures completeness from the start.

2
AI System Owner

Assign ownership and complete technical context

The AI System Owner is named and completes the technical intake — system architecture, data inputs, decision outputs, and oversight mechanisms. Ownership becomes part of the record.

3
Platform

Obligation set and screening intake are created

Based on registration context, the platform generates the applicable obligation set and creates a screening intake record. The system is now ready for AI Screening — no manual hand-off required.

4
Ongoing

Lifecycle changes are governed, not informal

When a system changes — in purpose, scope, or deployment — the registry reflects it. Updates are version-controlled. The governance record shows what the system was at every point in time.

AI System Registry

Replace your AI inventory with a governance layer.

Start with structured visibility. Every system registered in EAB becomes the foundation for screening, obligations, evidence, and audit-ready traceability.

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