Independent responsible AI practice
Evaluate what your AI is carrying: value, decisions, data and responsibility. Do it before you scale.
In brief
We evaluate systems, uses, teams and evidence to clarify the value to create, the risks to reduce and the practice to strengthen. The result is one recommended first path, which may be an engagement, a later step or no engagement yet.
The recognizable reality
Each use can look light in isolation. Together they become a practice that affects customers, teams and outcomes. The first need is not another rule. It is a clear view of what AI already carries.
The decisions you need to make
Enter through the decision in front of you, not through our internal product catalogue.
01
Connect each AI use to a priority and a measurable result.
Evaluate an initiative02
Make responsibility, data and limits visible before deployment.
Improve team practice03
Replace general claims with practice that can be verified on evidence.
Earn independent recognition04
Move AI use forward without losing human supervision or traceability.
Prepare to scaleHow identifiable works
We evaluate the present reality, clarify what matters and recommend the most useful first path, including when no engagement is the right answer yet.
Systems, teams, decisions and available evidence.
Expected value, risk exposure and trust to earn.
One decision at a time, without manufactured urgency.
Progress connected to evidence, not intentions alone.
Offer architecture
The offer stays stable. You enter through your decision, not through a product list.
Designation
Annual and continuous practice evaluation through the iDIA framework and AI Index.
Explore the designationCapability
Enterprise training and a professional path for people who evaluate AI practice.
Explore Move 38Implementation
Governance, AI risk management, ISO/IEC 42001 preparation, Law 25 and AI Act alignment.
Explore consultingThe next decision
A focused review of your priorities, current AI use, surrounding practice and the outcome that matters. The recommendation may be an engagement, a later step, or no engagement yet.
Book an AI Practice ReviewAI advisory firm
Evaluation, compliance, security
You are starting an AI project, building one, rolling one out, or your teams already use AI every day. identifiable walks with you at every step: know where you stand, understand your risks, and steer your company's AI safely.
the iDIA framework · profile across six properties
In brief
identifiable is an AI consulting cabinet. It works with leaders and their teams to frame, evaluate and govern how they use AI, from the first project through to the "Responsible AI Practice" designation. The identifiable Move 38 program trains teams in-house and certifies the professionals who evaluate and certify others. The method is the iDIA framework, the measure is the AI Index. Based in Laval (Quebec), the cabinet works across Canada, the United States, Europe, North Africa and the Middle East.
The designation offer, from solopreneur to organization, in tiers of scope. Delivered through the iDIA framework method and measured by the AI Index: annual evaluation, governance and risk management on a continuous basis. At the threshold, the cabinet accredits the "Responsible AI Practice" seal.
Certify my companyTrain your teams to work with AI safely. Certify your professionals, open new doors and greater potential. Become the Responsible AI Leaders, who evaluate and certify others under the identifiable Move 38 licence.
Training and certificationidentifiable is proud of its proprietary applied consulting methodology. You are building a system of AI agents, automating, integrating and deploying AI, or AI is already part of your operations: we work alongside you to maximize its benefits and minimize its risks. Governance, risk management, ISO/IEC 42001 readiness, Law 25 conformity and AI Act alignment.
Consulting mandatesOur clients
Five questions, ninety seconds. At the end, you see what your use of AI touches, and where to start.
I want to be recognized as an organization that uses AI responsibly.
We evaluate how you use AI, close the gaps with you, and accredit the "Responsible AI Practice" seal once the threshold is met.
Responsible AI Practice 02I want to know whether the tools and the AI we use are compliant.
We audit the AI already in place and measure what your usage does to your data, your compliance and your exposure. The measure is run again each year.
Responsible AI Practice 03My teams use AI and nobody has written the rules.
We write the policy, the usage rules and the framework with you, so they hold up in front of your teams and your clients alike.
Consulting 04I want to manage AI risk without blocking my teams.
We build your AI risk management system on the NIST AI RMF, operationalized through our AI Risk SOLN framework.
Consulting 05Someone is asking me for ISO/IEC 42001 certification.
We build your AI management system and take you all the way to the accredited body's audit.
Consulting 06I have to answer for Law 25, and the AI Act if I do business in Europe.
We turn the requirements into practices that work inside your actual tools, and we document what has to be documented.
Consulting 07My teams have to use AI responsibly and safely.
We train your teams in-house: AI literacy, safe everyday usage, and templates they put to work the next morning.
Move 38 08I want to evaluate and certify other companies. Where do I start?
We certify you as a Responsible AI Leader, across three levels of authority, under the identifiable Move 38 licence.
Move 38A defined artificial intelligence
Six properties, scored one by one, on what you can actually show. You see at a glance what already holds and what needs work.
Who decided what, and on what basis. We check whether you can trace back a decision made with AI: who approved it, which data fed it, and what is still on record six months later.
The rules of the game, written down and followed. We check whether you have an AI usage policy, who answers for it inside the organization, and what happens when a team adopts a new tool.
What protects your AI systems from an attack. We check your access, your testing and your response to AI-specific abuse: prompt injection, data extraction, an agent acting outside its mandate.
Where your data lives, and who you depend on. We check which country processes it, what the vendor allows itself to do with it, and whether you could switch tools without rebuilding everything.
Where a human keeps a hand on the wheel. We check which decisions go through human approval, and whether the level of control matches what a mistake would actually cost.
Doing the same work again and getting the same result. We check whether your configurations, prompts and versions are documented, so the result holds even when the person who produced it has moved on.
An accountable artificial intelligence
Our Responsible AI Practice program and its seal give you traceability over how AI is used, an AI that is transparent and governed on a continuous basis, and a documented practice. Your company gains safe productivity, your employees gain responsible everyday use, and your clients gain trust and reliability that are properly recognized.
The analyses are open, with no form and no email to hand over.
AI and data trends 2026: governance wins
Agentic AI, the semantic layer and headless analytics reward the organization that defines, measures and governs its AI. How to read them.
Securing generative AI along its flow
The security of a generative AI is governed across six stages, from the dataset to usage feedback. How to make it traceable link by link.
AI governance: the generic default
Access to AI is a commodity. The advantage goes to the organization that makes its AI nameable, explainable and accountable. Where the gap starts.
The iDIA framework is identifiable's evaluation method: six properties (Accountable, Governed, Secure, Sovereign, Supervised, Reproducible) scored on evidence, weighted from ISO/IEC 42001, the NIST AI RMF, the AI Act and Law 25.
The AI Index (AIiD) is the evaluation that follows from the iDIA framework, system by system and agent by agent. A weighted sum of the six properties, it places the organization in one of four posture bands: Emerging, Developing, Governed, Reference. It reproduces from documented inputs.
No. The AI Index is the measure on which identifiable's certification relies. At the threshold, the cabinet certifies the organization's conformity in AI governance, the NIST AI RMF, and Law 25, and accredits the « Responsible AI Practice » designation (« RAI practice » mark). For ISO/IEC 42001, the cabinet prepares the organization for certification issued by an accredited body.
Three offers. Responsible AI Practice, the designation offer, delivered through the iDIA framework method and measured by the AI Index. identifiable Move 38, corporate training and the certification of professional evaluators, the Responsible AI Leaders. Consulting, for AI governance, the AI risk management system, preparation for ISO/IEC 42001 certification and Law 25 conformity.
For organizations whose AI adoption has outpaced their governance: executives who must answer to their board, compliance officers exposed to Law 25 and the AI Act, operations leaders who want AI uses that are nameable, measurable and replayable.
No. The AI Index maps your posture and shows where to begin. Most organizations start in the Developing band. A starting point to build from.
The most useful first step is the diagnostic, or a thirty-minute discovery call. Scope is defined together; the figure follows from the framing.