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Documentation becomes outdated as soon as systems or vendors change.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.

High-Risk AI

In which sectors does the AI Act consider systems to be high-risk?

Aigolex Team18 March 2026

Introduction

After defining what high-risk AI systems are, it is important to understand in which contexts this classification concretely applies.

The European regulation does not limit itself to an abstract definition but identifies specific areas where the use of AI is considered particularly sensitive.

These sectors are listed and detailed within the Artificial Intelligence Act and represent one of the most operational elements of the regulation.

Main areas of application

AI systems are generally classified as high-risk when they operate in contexts where they can influence fundamental rights or individual opportunities.

Among the main sectors identified we find:

•Human resources, for example systems for selecting or evaluating candidates
•Education, such as systems used for assessments or access to training paths
•Financial services, particularly for credit granting
•Healthcare, where AI can support diagnoses or clinical decisions
•Critical infrastructure, such as energy or transport

Why these sectors are considered critical

In all these areas, decisions supported or automated by artificial intelligence can have significant consequences.

An error, a distortion in the data, or a lack of control can result in discrimination, exclusion, or safety risks.

For this reason, the European legislator decided to introduce more stringent requirements precisely in these contexts.

Conclusion

For many companies, identifying whether their AI systems operate in one of these sectors represents a fundamental step.

It is in fact from this classification that most of the compliance obligations provided for by the regulation depend.

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