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.

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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Documentation becomes outdated as soon as systems or vendors change.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

What are high-risk artificial intelligence systems

Aigolex Team17 March 2026

Introduction

Among the various categories introduced by the European regulation on artificial intelligence, that of high-risk systems is probably the most relevant for companies.

Unlike prohibited applications, these systems can be developed and used, but must comply with a series of specific requirements designed to reduce the risks associated with their use.

The definition and regulation of these systems are one of the central elements of the Artificial Intelligence Act.

When an AI system is considered high-risk

An artificial intelligence system is classified as high-risk when its use can have a significant impact on people's safety or their fundamental rights.

This can happen, for example, when AI is used to support or automate decisions that affect economic opportunities, access to services, or working conditions.

In these cases it is necessary to ensure that the system is developed and used in a reliable and controllable manner.

Why this category is so important

Many of the most widespread applications of artificial intelligence in organizations can fall into this category.

Think, for example, of systems used for candidate selection, for credit assessment, or for data analysis in the healthcare sector.

In these contexts, an error or algorithmic distortion can have significant consequences for the people involved.

Conclusion

For this reason, European regulation introduces specific requirements for high-risk AI systems.

Understanding whether a particular application falls into this category represents one of the most important steps for companies that use artificial intelligence.

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