identifiable Move 38 · training and Responsible AI Leaders
The firm's corporate training and professional certification offer: the Responsible AI Leaders who evaluate and certify others, on evidence, with the iDIA framework. The "Responsible AI Practice" designation is earned through the Responsible AI Practice offer.
In short: identifiable Move 38 is the firm's offer for corporate training and the certification of professional evaluators, the Responsible AI Leaders who evaluate and certify others. Team training and the Lead pathway are measured on evidence, with the iDIA framework.
Track 1 · your teams
Your teams already use AI every day. Training makes that usage nameable, measurable, and repeatable, and the capability stays in-house.
Recognize a system that hasn't been evaluated, and know what you can entrust to it. Qualify a tool before adopting it: what it touches, where the data goes, what gets reproduced.
Get everything the systems in place can deliver: prompt structuring, human-AI orchestration, automation of repetitive tasks, without exposing the organization or its clients.
Calibrate human oversight to the risk level of each use case: who checks what, how often, and what gets documented so decisions stay accountable.
Capacity stays in-house. Teams leave with the grids, patterns, and protocols they can apply without the firm in the room.
Corporate masterclasses, working sessions on the organization's real use cases, and application coaching. Each program is grounded in the iDIA framework: the six properties become the shared lens for all teams.
Training delivers practical templates you can use right away. Content is built around the systems your teams actually use, and exercises produce deliverables the organization keeps.
Leaders and managers
Guide adoption, respond to the board, evaluate tool requests. Governance as a lever.
Operational teams
Full-capacity daily use: prompts, workflows, automations, and the habits that protect data.
Compliance officers
Frame usage without freezing it: Law 25 and the AI Act translated into practices teams can maintain.
Track 2 · practitioners
Five modules over eight to twelve weeks, in cohorts of six to twelve practitioners. Accreditation is earned on a real case, counter-scored by the firm, and authorizes conducting AIiD evaluations and certifying the Responsible AI Practice under license.
01
The landscape of AI systems and agents, the four reference frameworks, and their convergence in the iDIA framework. The practitioner's vocabulary: traceable, measured, governed, accountable.
02
The six properties, their derived weighting, the five-level maturity scale. Scoring exam: the candidate scores a reference file and ties every score to a piece of evidence.
03
Running the inventory, framing on evidence, evaluating an agent: access, autonomy, guardrails. A dry-run evaluation end to end, supervised by one of the firm's evaluators.
04
Computing the Index, producing the profile, applying the threshold: an Index at the designation threshold, no property below the floor. Running a verdict session, including refusal. Supervised, counter-scored real case.
05
Review of the real case, delivery of the certification, the practitioner's toolkit, and the designation accreditation license. Accreditation is earned on the quality of the file, never on attendance.
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A new practitioner's first designations are counter-scored by the firm. An annual calibration keeps scoring consistent across practitioners. A breach of the license rules withdraws it.
Your teams
System qualification grids, prompt patterns, supervision protocols. Grounded in the iDIA framework, applicable without the firm in the room.
The practitioner
Valid for the year shown, renewable after re-evaluation. It attests mastery of the iDIA framework, evidence-based scoring, and the conduct of the verdict.
The practitioner
Scoring templates, evidence register, designation kit, and the authorization to conduct AIiD evaluations and accredit the Responsible AI Organization designation at the threshold, under the firm's supervision.
Both tracks
Corporate masterclasses, workshops on real-world uses, application coaching: the capability stays with those who train, and the standard stays with the network.
In 2016, in the second game against Lee Sedol, AlphaGo played a move no human would have played. Move 37. The moment the machine demonstrated its capability.
Move 38 is the next move. The one that belongs to the human: deciding what to do with that capability, framing it, answering for it.
Capability was Move 37. Responsibility is Move 38. The program trains and certifies the humans who carry that move, inside their organization or for others'.
The team track trains an organization's people: AI literacy, full-capacity use, day-to-day supervision, skills transfer. The practitioner track certifies professionals: it trains, evaluates, and accredits them to conduct AIiD evaluations and certify other organizations' Responsible AI Practice, under the firm's license.
Leaders and managers guiding adoption, teams using AI daily, and compliance officers framing usage. Each program adjusts to the role and starting level. No technical background is required: AI literacy is a judgment skill before it is a technical one.
It is the most effective path. The evaluation names the gaps; training closes them. The roadmap shows exactly which skills raise which properties.
Conducting AIiD evaluations under identifiable's license and accrediting the Responsible AI Practice designation at the threshold. First designations are counter-scored by the firm, and an annual calibration keeps the network consistent.
No, it is earned. Practitioner accreditation rests on a scoring exam, a dry-run evaluation, and a supervised, counter-scored real case. A candidate can complete the training without being accredited if they do not hold the standard. That is what protects the value of the title, and of the designations it allows.
Then your entry point is the AIiD program: the evaluation of your AI systems and agents, which produces the Index, the profile, and the roadmap, and leads at the threshold to the Responsible AI Practice designation.
Read next: the AIiD program, the evaluation in detail · the iDIA framework, the six properties · the Responsible AI Practice designation
Train your teams or become a certified practitioner: the thirty-minute discovery call frames the right track.