European Artificial Intelligence Regulation

Information security

Our experience allows us to know and understand how they work.

What does adapting to the European Artificial Intelligence Act (AI Act) entail?

It is a technical, ethical, and legal consulting service designed to guide companies in complying with the world’s first comprehensive regulation on Artificial Intelligence. Its objective is to ensure that all AI systems used by the organization are safe, transparent, traceable, and non-discriminatory, thereby protecting fundamental rights and fostering technology adoption with legal safeguards.

What benefits does it bring to the company the adaptation to the European Artificial Intelligence Act?

Adapting to the AI Act goes beyond mere legal compliance; it positions the company at the technological forefront. Crucially, it enables the mitigation of financial risks, helping to avoid severe penalties—which can reach up to €35 million or 7% of global turnover for serious infringements. Furthermore, it offers a distinct competitive advantage by accelerating the adoption of AI in internal processes with full legal certainty relative to competitors. Finally, it fosters trust and enhances reputation by demonstrating the highest levels of transparency and ethical responsibility to clients, employees, and investors.

To whom the law applies

The European Artificial Intelligence Regulation (AI Act) requires any entity that interacts with AI within its value chain to:

Suppliers (Developers)

Those who develop or market AI systems under their own name or brand.

Importers and Distributors

Those who place AI systems developed in third countries on the EU market or put them into service.

Deployment Leads (Users)

Companies or entities that use and deploy AI systems under their authority in professional settings (for example, in human resources recruitment or customer service).

What are the keys to compliance?

Risk-based approach

Absolute prohibition of unacceptable practices (such as cognitive manipulation or social scoring) and compliance with very strict requirements for systems classified as “High-Risk.”

Human oversight (Human-in-the-loop)

Guarantee that critical decisions made by algorithms remain under human control and maintain high cybersecurity standards.

Mandatory transparency

Obligation to clearly inform users when they are interacting with an AI system (chatbots, automatically generated content, or deepfakes).

What consulting services are offered to carry it out?

AI literacy for your team

Mandatory training programs at all levels to ensure that personnel operate, supervise, or make informed decisions regarding AI safely and ethically.

Governance and Technical Suitability

Design of the Quality Management System (QMS), drafting of technical documentation, fundamental rights impact assessments, and transparency protocols.

Diagnosis and Classification of Systems

Audit of operational AI tools to determine their risk level (Prohibited, High, Limited, or Minimal) and establish their associated obligations.

CE Marking, Registration, and Tracking

Conformity assessment (obtaining the CE mark for high-risk AI), registration in the official EU database, and post-market monitoring plans.

Frequently asked questions

Is my company affected if it only uses third-party AI tools (such as ChatGPT or HR software)?

Yes, the law applies to more than just the person who creates the code. If you use AI in a professional setting to make decisions or interact with clients or employees, you act as the “deployer” and must comply with obligations regarding transparency, internal training, and human oversight.

How much do the penalties for non-compliance with the AI Act amount to?

Sanctions for serious violations of the regulations may amount to up to €35 million or 7% of the company’s total annual global turnover (whichever is higher).

What is AI literacy and why is it mandatory?

The AI Act mandates that companies train their personnel. It aims to ensure that employees possess the necessary training and ethical awareness to understand the systems they use, interpret their outputs, and monitor for potential biases or failures.

What does human oversight—or "human-in-the-loop"—entail?

It serves as the technical and operational guarantee that no automated AI system makes critical decisions (for example, in hiring or risk assessment) without a trained professional being able to oversee, correct, or override the algorithm’s output.