Training · corporate programs
Your teams are already using AI every day. The question isn't to slow them down: it's to make that usage nameable, measurable, and repeatable. Training transfers that capacity 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 AI id framework: the six properties become the shared lens for all teams.
Training delivers practical templates, not slides. 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, not a brake.
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.
For leaders and managers guiding adoption, teams using AI daily, and compliance officers overseeing usage. Each program adapts to the role and the starting level.
Practical templates grounded in the AI id framework: system qualification grids, prompt patterns, supervision protocols. Not slides.
No. Programs start from teams' actual level and build up. AI literacy is a judgment skill before it is a technical one: knowing what a system does, what it touches, and what you can entrust to it.
That's the most effective path. The evaluation names the gaps; training closes them. The roadmap shows exactly which skills raise which properties.
Read next: Move 38, the evaluation method · the AI id framework · all services