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Documentation becomes outdated as soon as systems or vendors change.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

What is the AI Act and why did Europe decide to regulate artificial intelligence?

Aigolex Team5 March 2026

Artificial intelligence has become an increasingly used technology in economic and organizational activities.

Many companies employ AI systems to analyze data, automate processes, or support operational decisions.

This widespread adoption has led to the need to introduce clear rules on the development and use of these technologies.

For this reason, the European Union has adopted the Artificial Intelligence Act.

Why was the regulation introduced

With the increase in AI usage, some risks have also emerged.

Among the most discussed we find:

•possible discrimination generated by algorithms
•automated decisions that are difficult to interpret
•use of AI in sensitive contexts such as work or credit

The goal of the AI Act is to reduce these risks without limiting technological development.

A risk-based approach

European regulation uses a regulatory model based on the level of risk.

AI systems are classified into different categories, each with different obligations.

Systems considered more critical must comply with more stringent requirements, while for low-risk applications minimum obligations are provided.

Conclusion

The AI Act represents one of the first attempts globally to build comprehensive regulation for artificial intelligence.

Understanding how this regulation works is increasingly important for companies that develop or use AI systems.

In upcoming articles we will analyze in detail how this regulation works and what implications it may have for organizations.

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