Understand your AI Act obligations.
Prove compliance.
Keep it aligned as AI evolves.

A practical compliance platform for companies deploying AI in the EU and the consultants who support them. Built around real deployments, not abstract models.

Join 300+ professionals already exploring AI Act compliance with Aigolex

The real AI Act problem

Companies don't know if they are AI providers, deployers, or both.

Obligations depend on how AI is used, not on the model itself.

Documentation becomes outdated as soon as systems or vendors change.

Audits, enterprise customers, and boards expect immediate answers.

AI Act compliance is not a one-time exercise.
It's an operational problem.

Compliance attaches to deployments, not to AI models

That's why the platform mirrors the structure of the AI Act itself

Company

the legal entity ultimately responsible for compliance

Workspaces

distinct operational perimeters where AI is developed, tested, or used

AI assets

the underlying AI systems or models, independent from any single feature

Deployments

how those AI assets are actually used in practice, by whom, and for what purpose

Under the AI Act, obligations, risk classification, and roles attach to deployments not to AI models in isolation. This ensures compliance decisions reflect real-world AI use, not theoretical system descriptions.

Scope

Define where AI exists, how it's used, and who is responsible.

•Maps AI usage across companies and workspaces
•Identifies AI assets and their concrete deployments
•Determines your role under the AI Act (provider, deployer, or both)

Misclassifying your role means misapplying every obligation that follows.

Obligations

Know exactly what the AI Act requires, per deployment.

•Assigns regulatory requirements at the deployment level
•Based on role, risk classification, and usage context
•Generates clear, trackable checklists
•Separates applicable obligations from irrelevant ones

The AI Act is obligation-driven. Guessing is not a strategy.

Evidence

Always-ready documentation to prove compliance.

•Centralizes compliance documentation per workspace and deployment
•Includes system descriptions and risk assessments
•Tracks human oversight measures and monitoring controls

Static documents fail the moment reality changes.

Continuity

Stay compliant as AI systems, vendors, and uses change.

•Monitors changes to AI assets, deployments, and operational perimeters
•Flags when obligations or risk levels must be updated
•Alerts when documentation needs to be refreshed

Most compliance failures happen after the first assessment.

AI Act compliance readiness assessment

Identify your AI Act obligations, classify risk exposure, and uncover compliance gaps — with a guided interactive assessment.

Built for teams that can't ignore regulation

EU-based or EU-operating

Active AI deployments

Exposure to audits

Legal & compliance leaders

Risk & trust teams

Engineering leaders accountable for AI systems

Built by people who've done this before

Experience in legaltech and regulated environments

Built with legal and technical teams

Not Big-4 complexity

Prepare now. Don't scramble later.

AI Act

How the AI Act defines an artificial intelligence system

Aigolex Team11 March 2026

Introduction

One of the first questions many companies ask when they begin to deal with the European regulation on artificial intelligence concerns the definition of AI system.

Not all software technologies automatically fall into this category and not all are subject to the same regulatory obligations.

For this reason, the European Union has introduced a specific definition within the Artificial Intelligence Act.

This definition represents the starting point for determining whether a given technology falls within the scope of the regulation.

The definition provided by the regulation

According to the AI Act, an artificial intelligence system is a system designed to operate with different levels of autonomy and capable of generating outputs such as:

predictions

recommendations

decisions.

These outputs are designed to influence physical or digital environments and can support or automate certain decision-making processes.

The definition therefore includes a wide range of technologies, from machine learning models to more complex systems based on generative models.

Why the definition is so broad

The European Union has chosen a relatively broad definition to prevent new emerging technologies from easily escaping the regulatory framework.

Artificial intelligence is in fact a constantly evolving field and new techniques are rapidly being developed.

A definition that is too restrictive would risk becoming obsolete within a few years.

Conclusion

Understanding whether a technology falls within the definition of AI system is the first step for any compliance assessment.

For many companies, this initial classification phase represents the moment when it becomes necessary to precisely map the AI systems used within the organization.

Understand your AI Act obligations.Prove compliance.Keep it aligned as AI evolves.