One of the most common questions about the EU AI Act is:
"Do we need to register our AI system?"
The answer is: sometimes — but not always.
It depends on:
- how your AI system is used
- whether it is considered high risk
- whether you are building it or just using it
This guide breaks it down in a simple way so you can quickly understand what applies to you.
If you want a fast answer for your specific case:
The short answer
You typically need to register your AI system if:
- it is classified as high-risk
- you are the provider (builder / seller)
- the system is placed on the EU market
If you are only using AI internally, registration is often not required.
What "registration" actually means
Under the EU AI Act, certain AI systems must be:
- documented
- assessed
- registered in an EU database
This is mainly relevant for high-risk systems.
The goal is transparency and accountability — not just internal compliance.
When registration is required
Registration is most relevant when:
- you build AI systems that affect people
- your system is used in hiring, scoring, or decision-making
- your product is offered in the EU
Example: A SaaS company offering AI-powered candidate screening tools → likely high risk → likely requires registration.
If you're building software products:
When registration is NOT required
In many cases, registration is not needed.
Examples:
- using AI internally (e.g. ChatGPT for writing)
- low-risk AI features
- tools that don't affect people or decisions
Example: Using AI to summarize meeting notes → low risk → no registration required.
Provider vs user: why it matters
One of the most important distinctions is:
Are you a provider or a user?
Provider:
- builds or sells the AI system
- more responsibilities
- may need to register
User (deployer):
- uses AI internally or operationally
- fewer obligations
If you're unsure where you fall:
What companies often get wrong
Two common mistakes:
- Assuming all AI systems must be registered
- Assuming none of them need to be
The reality depends on risk level, use case, and role (provider vs user).
How to know if your system needs registration
Instead of starting with legal definitions, start with these questions:
- Does our AI system affect people or decisions?
- Is it part of our product or service?
- Are we providing it to others?
- Could it be considered high risk?
If several answers are "yes", it's worth taking a closer look.
If you want a structured way to do this:
How this connects to risk classification
Registration is closely tied to risk.
High-risk systems: stricter requirements, more documentation, potential registration.
Lower-risk systems: fewer obligations, often no registration.
To understand this better:
Want the full picture?
If you want to understand how registration fits into the full regulation:
Next step: check your situation
Registration is not the first step.
Understanding your exposure is.
Once you know whether your system is high risk and whether you are a provider, the rest becomes much clearer.