An AI system register solves this problem. It acts as a structured record of all AI systems used or developed by an organization and forms the foundation for risk classification, documentation tracking, and governance oversight.

For SMEs and startups, creating an AI system register is often the simplest and most practical way to begin organizing EU AI Act compliance efforts.

What Is an AI System Register?

An AI system register is a centralized inventory that documents every artificial intelligence system used within an organization.

Instead of scattered documentation across teams, the register creates a single source of truth that compliance teams, product managers, and leadership can reference.

It helps organizations answer basic but critical questions:

• What AI systems are currently being used?
• Who is responsible for each system?
• What business function does the system serve?
• Does the system affect individuals or decision-making?
• What level of regulatory risk might the system pose?

Why the EU AI Act Makes an AI Register Important

The EU AI Act introduces a risk-based regulatory framework for artificial intelligence systems. Organizations must determine whether their systems fall into prohibited, high-risk, limited-risk, or minimal-risk categories.

Without a system register, performing this classification becomes difficult because organizations may not even have a complete view of the AI tools currently operating across departments.

A register provides the baseline needed to begin structured compliance work.

Key Information to Include in an AI System Register

A practical AI register should capture several core attributes about each system.

System Name

Record the name of the AI system or tool being used. This may be a product name, internal system identifier, or vendor platform.

Business Purpose

Document why the system exists and what function it performs within the organization.

Examples include:

• customer support automation
• content generation
• fraud detection
• CV screening
• recommendation systems

System Owner

Each system should have a clear internal owner responsible for documentation and oversight.

Typical owners include product managers, engineering leads, operations managers, or compliance contacts.

Department Using the System

Recording the department helps organizations understand where AI is being deployed and which teams may require compliance training or governance oversight.

Internal or Third-Party System

Identify whether the system is developed internally or provided by an external vendor.

Third-party AI tools often introduce additional considerations such as vendor transparency and dependency risks.

Additional Fields That Improve Governance

Beyond the basic fields, organizations often expand their AI registers with additional governance details.

• risk classification status
• human oversight mechanism
• data sources used by the system
• system deployment date
• review status
• documentation links

These fields help transform the register from a simple inventory into a governance dashboard.

Common Challenges SMEs Face

When organizations first attempt to create an AI register, several challenges typically appear.

• AI tools being used informally across teams
• lack of documentation for third-party AI platforms
• unclear ownership of systems
• rapid introduction of new AI tools

Because of this, the register should not be treated as a one-time document. It should evolve as the organization adopts new AI capabilities.

How Passorra Helps Structure AI Registers

The Passorra AI Compliance Toolkit includes structured templates that help organizations create and maintain an AI system register without starting from scratch.

Instead of manually designing spreadsheets, teams can use a structured framework that organizes AI inventories, documentation tracking, and compliance progress in a single place.

For startups and SMEs preparing for EU AI Act readiness, this approach significantly reduces the effort required to begin compliance preparation.

Final Thoughts

Creating an AI system register is often the most practical first step toward EU AI Act readiness.

Once organizations have a clear view of the AI systems operating within their environment, they can begin classifying risk levels, organizing documentation, and implementing governance controls.

With the right structure in place, compliance preparation becomes far more manageable.

You can read EU AI Act Compliance Checklist

You can also read EU AI Act Risk Classification Explained

If you want a structured starting point, explore the Passorra AI Compliance Toolkit.