AI Act Compliance: Secure your compliance trajectory for AI usage
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
1. Frame your AI Act context
We are analysing your usage, your priorities, your regulatory exposure and the stakeholders to involve on the subject.
2. Assess your level of preparedness
We are conducting a structured audit based on governance, technical, and regulatory dimensions to identify your compliance gaps.
3. Map and prioritise the systems concerned
We help to inventory AI systems, assess their level of exposure, and prioritise the most sensitive projects.
4. Define the devices to be put in place
We recommend the necessary elements for structuring governance, documentation, supervision, traceability, and steering.
5. Construct an operational roadmap
We transform diagnosis into a concrete trajectory, with an action plan that is consistent with your constraints, resources, and schedule.
The expert's word
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
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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.
