Independent responsible AI practice
Build an AI strategy aligned with your business objectives. Structure AI governance with our consulting services, manage AI risk, evaluate your systems and use cases, maximize the value AI creates, and equip your teams with responsible AI policies, procedures and practices.
In brief
We work with clients to establish clear AI governance, measurable risk management and responsible practice. Leaders from organizations like yours collaborate with identifiable and invest in AI to increase enterprise value, qualify returns, create value and, above all, strengthen how they manage risks associated with artificial intelligence.
What are you looking to improve?
Your next step
AI governance defines who decides, what must be approved and how results are monitored. AI risk management identifies what could weaken value, expose people or data and disrupt operations, then turns those risks into proportionate controls.
Commencez par un diagnostic découverte de 30 minutes offert. Apportez les questions de votre équipe. Repartez avec une première direction concrète.
Start with a complimentary 30-minute Discovery & Diagnostic. Bring the questions your team needs answered. Leave with a practical first direction.
Answer
AI influences your organisation wherever a system creates, recommends, classifies, predicts or automates work. That influence may already shape decisions, customer experience, employee practice, data and operating results.
Solution
Map each system and use case to a business objective, owner, data source, decision and measurable result. This makes hidden dependencies and unsupported assumptions visible.
Answer
AI reduces value when weak outputs create rework, distort a decision, expose data or increase dependence on a vendor. Exposure grows when no one defines acceptable thresholds.
Solution
Build an AI risk register, measure likelihood and impact, set tolerance thresholds and apply proportionate tests, controls and monitoring.
Answer
Responsible and safe use becomes visible when teams follow shared practices, protect data, document decisions, verify results and maintain human oversight.
Solution
Evaluate systems and practices with the iDIA framework and AI Index, then strengthen policies, procedures, training and evidence where gaps matter.
Laws, standards and credentials we work with
From reference to practice
We combine international standards, risk management frameworks and applicable obligations with our proprietary methods. The result is not another document, but decisions, controls, evidence and capabilities that remain within your organisation.
01
Proprietary tools
iDIA + AI IndexA system and use-case inventory, clear ownership and a measurable baseline.
Read the insight02
Service practice
Risk and impact assessmentA risk register, impact assessments, decision thresholds and proportionate controls.
Read the insight03
Proprietary system
Responsible AI PracticePolicies, procedures, traceability and evidence that support everyday decisions.
Read the insight04
Capability building
Move 38 + internal ownerEquipped teams, a living dashboard, measurable progress and ownership that stays internal.
Read the insightOur principle: guide, equip and transfer capability.
Living governance, not static documentation.
How 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.
Program
Annual and continuous evaluation of the practice through the iDIA framework and the AI Index. At the threshold, the designation.
Explore the programProgram
Enterprise training and designation of Responsible AI Leaders, the professionals who evaluate AI practice.
Explore the programConsulting
AI strategy, governance, risk management, ISO/IEC 42001 readiness, Law 25 and EU 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 ten 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 designates the professionals who evaluate and designate 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.
Designate my companyTrain your teams to work with AI safely. Designate your professionals, open new doors and greater potential. Become the Responsible AI Leaders, who evaluate and designate others under the identifiable Move 38 licence.
Training and designationidentifiable 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.
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 designate other companies. Where do I start?
We designate you as a Responsible AI Leader, across three levels of authority, under the identifiable Move 38 licence.
Move 38A defined artificial intelligence
Ten properties, scored one by one, on what you can actually show. You see at a glance what already holds and what needs work.
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 change tools without rebuilding everything.
What you actually use. We check the inventory of your systems, uses and instances, including the tool one team adopted without anyone else knowing.
What your systems are worth under test. We check your data, outputs, robustness and bias, with risks classified and the misuses specific to AI: prompt injection, data extraction, an agent acting outside its mandate.
The rules of the game, written and upheld. We check whether you have an AI usage policy, who answers for it across the organization, and what happens when a team adopts a new tool.
What you say about your AI, and to whom. We check whether its use is disclosed, how results are validated, and whether a decision stays explainable to the person it affects.
The numbers you track, costs included. We check your indicators, and what your technology stack and each AI in use actually cost you.
Who decided what, and on what basis. We check whether you can trace a decision made with AI: who validated it, which data was used, and what remains on record six months later.
Where the human keeps control. We check who can intervene, correct and stop, and whether incidents, bias and changes follow a process that is upheld and owned by someone.
Practice, not paper. We check your teams' skills development, the uses genuinely governed, and whether what is written shows up in the day-to-day work.
What holds over time. We check whether the whole is sustained from one year to the next, on an established cadence of improvement rather than in fits and starts.
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: ten properties (Sovereign, Mapped, Evaluated, Governed, Transparent, Measurable, Accountable, Managed, Applied, Mature) scored on evidence, weighted from ISO/IEC 42001, the NIST AI RMF, the AI Act and Law 25.
The AI Index is the evaluation that follows from the iDIA framework, system by system and agent by agent. A weighted sum of the ten 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 designation relies. At the threshold, the cabinet attests to 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 the standard, whose audit rests with 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 designation of professional evaluators, the Responsible AI Leaders. Consulting, for AI governance, the AI risk management system, preparation for ISO/IEC 42001 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.