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Making AI CompetencyAn Auditable Proof

An institutional approach grounded in regulatory and standards alignment. Secure the governance of your AI systems with reliable indicators.

AI: A Matter of Governance and Responsibility

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AI has become a central issue of governance and legal liability. Regulators require organisations to ensure the level of competence of employees interacting with AI systems.

The 4 Compliance Pillars of AICET

Pillar 1: The EU AI Act (Article 4)

Article 4 of the EU AI Act imposes a strict obligation of AI literacy for personnel deploying or using certain AI systems.

AICET enables you to directly meet this legal requirement by objectively measuring your relevant teams' levels and generating skills reports that serve as audit-ready evidence during inspections.

Pillar 2: The AFNOR SPEC 2401 Standard

SPEC 2401 is the French reference framework for measuring and mapping AI skills. The AICET assessment model directly operationalizes this specification.

Arnault Ioualalen, founder of Numalis and AICET, is a direct contributor to the drafting of this national standard.

Pillar 3: ISO/IEC Standardization Work

Arnault Ioualalen is the lead editor of the international standard ISO/IEC 24029 on AI robustness and sits on several ISO/IEC committees dedicated to trustworthy AI.

This leading involvement guarantees to our large clients that the AICET assessment method will remain durable, internationally scalable, and consistently ahead of future global standards.

Pillar 4: Official APAVE Certification

The APAVE certification constitutes an enforceable documentary proof issued by a recognized independent third-party body.

AICET allows you to leverage this official guarantee to certify the technical AI proficiency of your teams, thereby securing your position during audits, regulatory inspections, or tenders in regulated markets.

The AICET Framework:
An Operational Translation of the Standards

Within this framework defined by AFNOR and European regulatory work, AICET deploys an assessment framework structured around 5 key dimensions. This reading grid transforms a normative foundation into an actionable tool for the organization:

01

Theoretical

Models & algorithms

02

Applied

Practical uses (NLP, Vision)

03

Operational

Lifecycle & data

04

Legal & Ethical

Regulation & biases

05

General Culture

History & key players

What AICET Brings to Your Compliance

Auditable proof

Individual and consolidated skills reports ready to be presented during an external audit.

Full traceability

A historical record of skills development and assessments completed by your teams.

Regulatory alignment

The guarantee of precisely meeting the requirements of Article 4 of the AI Act and the AI literacy obligation.

Process security

The certainty of assigning the right technical skills to the most critical AI systems.

Frequently Asked Questions

Does AICET address AI Act Article 4?

Yes. Article 4 of the AI Act imposes an AI literacy obligation for teams operating AI systems. AICET produces the objective measurement and auditable report that constitute enforceable proof of compliance with this obligation.

What is AFNOR SPEC 2401?

AFNOR SPEC 2401 is the French reference framework for measuring AI skills. The AICET assessment model directly operationalizes this specification, to which Arnault Ioualalen is a direct contributor.

Is AICET aligned with future ISO/IEC standards?

Yes. The AICET method is designed in alignment with ISO/IEC work on trustworthy AI, to which Arnault Ioualalen actively contributes — notably as lead editor of the ISO/IEC 24029 standard on AI robustness.

Does the APAVE certification carry legal value?

Yes. The APAVE certification constitutes an enforceable documentary proof issued by a recognized independent third-party body. It is actionable during an audit, regulatory inspection, or client requirement in regulated markets, as official attestation of the relevant employees' technical AI proficiency.

What is the difference between AI literacy and AI skills?

AI literacy is the term used by the AI Act to denote the minimum level of knowledge required of personnel operating AI systems. AI skills, as measured by AICET, cover a broader spectrum: theoretical, applied, operational, legal and ethical proficiency, and domain culture — across three levels of difficulty.

Anticipate the AI Act,
Structure Your AI Governance