Services · areas of practice

Five areas, one method.

Evaluation, advisory, strategy, training, designation: every area is anchored in the AI id framework. The deliverables speak to one another, and each phase prepares the next.

01 · Evaluation

AI system evaluation: Move 38.

A single evaluation against the four reference frameworks. Every system in use is inventoried, mapped and scored on evidence: intended uses, data touched, weak points, dependencies, supervision. You leave with the AI Index, the six-property profile and a prioritized roadmap.

Use-case mapping

Documentation of processes, data inputs and data outputs. The organization knows what enters its systems, what comes out, and what that commits it to.

Data risk assessment

Collection, residency and accessibility of the data feeding AI systems. Stakeholders have the relevant information at the right moment.

02 · Advisory and governance

The framework that makes adoption last.

ISO/IEC 42001 Readiness

Building the AI management system (AIMS): policy, roles, lifecycle, registers. The organization prepares for the standard; the AI id framework measures progress.

NIST AI RMF Alignment

Structuring AI uses according to the risk management framework: map, measure, manage, govern. Productivity and accountability advance together.

Law 25 Compliance

Personal information in AI uses: data residency, consent, transparency, privacy impact assessments (PIAs). Translated into practices that teams can sustain.

EU AI Act Compliance

Obligations under the European AI regulation: risk classification, automated decisions, transparency requirements. Translated into operational practices for organizations active in subject markets.

Strategic and ethical framework

Defining the organization's AI posture: guiding principles, authorized use zones, lines not to cross. The strategic framework precedes deployment.

Tailored AI governance

Strategy adapted to the size, sector and maturity level of the organization. Small, mid-size or large: the framework is proportionate, not generic.

Organizational frameworks

AI ethics committees, centres of excellence, accountability structures and iterative training programs. Governance is a function, not a report.

03 · Training

Capability, transferred internally.

AI literacy, skills transfer, using systems to their full capacity without exposing the organization or its clients. Corporate masterclasses, workshops on real-world uses, application coaching. Teams leave with usable templates anchored in the AI id framework.

04 · Certificates and designation

What you will be able to show.

The "Move 38 - completed" certificate attests the process. At the threshold, the "Responsible AI Organization" designation, accredited by the cabinet, certifies the status: an AI Index of at least 70, no property below 60, renewed after annual re-evaluation. identifiable certifies conformity in AI governance, the NIST AI RMF, and Loi 25; for ISO/IEC 42001, the cabinet prepares your organization for certification issued by an accredited body.

05 · Strategy & AI Integration

The AI strategy that protects the organization.

Secure integration strategy

Defining AI strategy before deployment: roadmap, use-case prioritization, team and executive preparation. Processes are ready before systems go live.

Multimodel AI governance

Governing multi-vendor environments: platforms, agents, third-party APIs. Every model is documented, evaluated and integrated into a unified governance framework.

AI systems security

Secure deployment within critical infrastructures. identifiable works with the organization so that AI strengthens cybersecurity without exposing it.

How does an engagement unfold?

01 · Scoping

A discovery call defines the scope, the systems covered and the evidence available. The number follows from scoping, set at that stage.

02 · Execution

Evaluation, governance or training, on a retainer basis. Every deliverable is anchored in the AI id framework and remains comparable from one phase to the next.

03 · Next steps

The roadmap guides what comes next: corrections, targeted training, re-evaluation. At the threshold, the designation.

Frequently asked questions

Where does an organization start?

With the AI Index diagnostic or a thirty-minute discovery call. The diagnostic places your posture in minutes; the discovery defines the scope.

How is the engagement structured?

On a retainer basis, with a collaboratively defined open scope. Every mandate is anchored in the AI id framework, which keeps deliverables comparable from one phase to the next.

Does identifiable build AI systems?

The firm makes what is deployed measurable and defensible, and supports deployment when the framework requires it. Most consultants deploy; identifiable produces the score your board will ask for.

Scope is defined together.