Defensible framework
A policy your employees understand and that you can show a client, an auditor or an insurer.
AI MODULE 06
Your employees already use AI. The question is under which rules.
We put in place the framework that is missing: what may go through an AI tool and what may not, who is allowed to do what, how decisions are traced, and what you answer a client who asks whether their file was handled by a machine. All aligned with Quebec’s Law 25 and with what insurers and large clients are starting to demand.
A policy your employees understand and that you can show a client, an auditor or an insurer.
The list of what is actually running in the company, including tools installed without going through IT.
Processing register, impact assessments and disclosure notices written for the Quebec context.
We record what is used today. The goal is to get the truth, so the exercise is explicitly non-punitive.
We establish with you what is public, internal, confidential or personal under Law 25, and what each category allows.
Policy, register, approval procedure and disclosure notices. Short, readable documents — not a binder nobody will open.
Team-by-team presentation, answers to concrete cases and setting up the periodic review of the framework.
Indicative timelines for an SMB. A multi-site group or a regulated sector requires more consultation time.
Outright bans rarely work: they push usage into the shadows, where you can no longer see it. We prefer defining what is permitted with which data, and offering an internal alternative for sensitive cases.
If you do business in Quebec and hold personal information — clients, employees, suppliers — then yes, whatever your size. The transparency obligations around automated decisions target AI usage directly.
No. We produce documents that are usable as they are, and flag the points worth validating with a lawyer. We do not give legal advice, and we say so plainly when a question calls for it.
The substance holds for years, but the list of approved tools moves fast. We plan for at least an annual review, and more often if you adopt new tools.
We start with an honest stocktake of what is already in use, then write the framework that goes with it.
The other AI modules