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Documentation becomes outdated as soon as systems or vendors change.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

What obligations must high-risk AI systems comply with

Aigolex Team19 March 2026

Introduction

AI systems classified as high-risk represent one of the most regulated areas of the AI Act.

Unlike prohibited applications, these systems can be used, but only if they comply with a series of specific requirements.

These obligations are defined within the Artificial Intelligence Act and cover the entire lifecycle of the AI system.

Main requirements provided

The regulation introduces several obligations designed to ensure that AI systems are reliable, safe and controllable.

Among the main ones we find:

a structured risk management system

requirements on the quality of data used for training

the creation and maintenance of technical documentation

human oversight mechanisms

accuracy, robustness and security requirements.

These elements must be integrated from the design phase of the system.

An approach that covers the entire lifecycle

One of the most relevant aspects is that these obligations do not apply only to initial development.

The regulation requires that AI systems be monitored and updated even after they are put into production.

This implies the need for continuous processes of control, review and improvement.

Conclusion

For many organizations, complying with these requirements does not just mean adapting the technology, but introducing new internal processes.

It is precisely at this stage that the operational complexity of AI Act compliance emerges.

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