AI Act Compliance: Secure your compliance trajectory for AI usage

A structured offering to help compliance departments frame, manage, and operationalise the requirements of the AI Act with a regulatory, technical, and data-driven approach.

In a few figures...

13

analytical pillars
to assess your level of preparedness for AI Act compliance.

3 axes

evaluation:
Governance, technical and regulatory

7%

de sanctions possibles selon la nature du manquement, avec des seuils pouvant aller jusqu’à 35 millions d’euros ou 7% du chiffre d’affaires annuel mondial.

2 August 2026

key date for the general application of the AI Act, with certain obligations already applicable and others spread out until 2027.

Our offer

The AI Act ushers in a new phase of regulatory maturity for artificial intelligence. For businesses, the challenge is no longer just about experimenting with AI, but about demonstrating that it is governed, documented, supervised, and aligned with European requirements. PATH2AI COMPLIANCEis an offer of AI Act compliance designed to help organisations transform a regulatory obligation into a clear, steerable, and actionable pathway. This approach is based on a practical interpretation of the text, a structured audit, and operational implementation.

An AI Act compliance offering designed for compliance departments

PATH2AI COMPLIANCE is primarily aimed at compliance departments that need to structure the company's response to the AI Act, without remaining in a purely theoretical reading of the regulation. The offering helps clarify responsibilities, prioritise actions, identify risk areas, and organise coordination between compliance, legal, IT, data, AI, and business units. The objective is to make compliance manageable across the entire company.

An AI Act audit structured around 13 pillars

JEMS proposes a detailed audit approach based on 13 pillars grouped into 3 axes : governance, technical, and regulatory. This framework makes it possible to concretely assess the organisation's level of preparedness, from defining roles and training to mapping AI systems, risk classification, human oversight, regulatory documentation, legal alignment, and monitoring. The benefit of this approach is to move away from ambiguity and to objectify the gap between the existing situation and the regulation's expectations.

A cross-approach between compliance, AI and data

One of the specific features of the offer is to cross-reference the dimensions regulatory, technical and data. The AI Act is not limited to a legal subject. It affects system documentation, data quality and traceability, human oversight, development processes, post-deployment monitoring, and the ability to produce evidence. This cross-functional approach helps to avoid blind spots between compliance, legal, IT, and business departments.

A progressive and operational compliance pathway

PATH2AI COMPLIANCE is designed as a modular and progressive approach. It allows progress to be made in stages, from acculturation to the operational implementation of the expected elements: governance, documentation, classification, controls, supervision mechanisms, evidence framework, and steering. This progressive logic is consistent with the phased deployment of the AI Act, some provisions of which already apply while others will gain prominence until 2027.

The key deliverables

  • AI Act maturity and readiness audit
  • Structured analysis according to the 3 axes and 13 pillars
  • Identification of compliance gaps and action priorities
  • Mapping of AI systems and initial classification elements
  • Recommendations on AI governance and associated roles
  • Documentation and traceability framework to be implemented
  • Progressive Compliance Roadmap
  • Expert restitution for compliance functions and internal stakeholders

The benefits

Clarifying your obligations and priorities

We help compliance departments translate complex regulatory text into concrete, readable, and prioritised action plans.

To structure credible AI governance

You are establishing a clearer framework for responsibilities, decision-making, and oversight between compliance, legal, IT, data, and business units.

Reducing blind spots between regulation and operational reality

The JEMS approach links regulatory expectations to AI systems, data, internal processes, and actual business use.

To better demonstrate your mastery in case of an audit

You are moving towards documented, traceable, and defensible compliance, with evidence that is easier to gather and manage.

Establish a sustainable AI compliance pathway

Beyond regulatory catch-up, you are establishing a useful governance framework to support the scaling-up of your AI uses.

Our 5-step approach

The expert's word

Franck Archer portrait

Franck ARCHER

VP DATA JEMS

«We propose a very pragmatic approach where each module is designed to precisely address an article of the AI Act regulation: traceability, supervision, documentation, governance. Our triple approach of data, AI, and legal removes blind spots. And compliance is no longer vague; it becomes actionable.»

Franck ARCHER

VP Data JEMS 

OUR RESOURCES

Blog article

AI Act 2026

What has changed since January and how to secure one's compliance trajectory?

Checklist 

ARE YOU READY FOR THE AI ACT?

An essential checklist to assess your compliance 
and structuring your AI Act compliance

Our additional services

Examples of achievements

Assess your readiness level AI Act compliance

Engage with a JEMS expert to identify your priorities, clarify your obligations, and structure your compliance pathway.