Shadow IT and Generative AI: Setting Rules for ChatGPT and Copilot in Montreal

A shadow IT generative AI policy is the quickest way for a Montreal SMB to get ahead of a problem that is already in the building. Your employees are using ChatGPT, Copilot and other AI tools today, with or without approval. They are trying to work faster, not break rules, but the outcome is the same: company data ends up in tools nobody has reviewed.

This article is for owners and IT leads who want to regain control without slowing their teams down. Here is what is really happening, what a good policy must say and how to put one in place within a few weeks.

Shadow IT and generative AI: what is already happening in Montreal SMBs

Shadow IT means the tools and apps staff adopt without IT approval. It has always existed: a shared spreadsheet, a personal email account, an online storage service. Generative AI changed the scale. All it takes is a browser and a free account to summarize a contract, draft a quote or analyze a customer file.

In a Plateau accounting office or a Saint-Laurent plant, the scenes are ordinary. An assistant pastes a client email into ChatGPT to draft a reply. An estimator uploads a quote to rephrase it. A manager asks an AI assistant to summarize a financial report. Nobody means any harm. The problem is that you do not know where that information goes.

Shadow IT risks for SMBs: data leakage, Law 25 and decisions with no paper trail

The first risk is ChatGPT data leakage and its equivalents. Depending on the plan and settings, a consumer tool may keep conversations and use them to improve its models. Text pasted once cannot be taken back.

The second risk is legal. As soon as a client, employee or patient's personal information goes into an outside tool, Law 25 compliance is in play: consent, risk assessment, confidentiality incident management. You cannot assess a tool you do not know exists.

The third is quieter. When an AI-generated analysis or text feeds a decision, nobody knows where the content came from, who checked it or what data it used. Plausible-sounding AI errors then slip into your quotes, contracts and reports.

Why banning ChatGPT almost never works

The instinctive reaction is to block everything. In practice, a ban only moves the problem. Employees switch to a personal phone, a mobile network or a private account, and you lose all visibility. You had a risk you could manage and now you have one you cannot see.

A better approach is to offer a safe path that is easier than the workaround. When the approved tool is as simple to use as the free one, most people pick it. That is the job of a clear policy, backed by good tools and a short training session.

What a generative AI usage policy template should include

A useful policy fits on two or three pages and reads in ten minutes. It answers the questions your employees actually ask. When you build your own generative AI usage policy template, these are the elements that matter most:

Permitted tools: the approved list and, for each tool, what it may be used for.

Off-limits data: personal information, client files, financial data and trade secrets, unless the tool is approved for that use.

Human review: anything the AI produces is read by a person before it leaves the company.

Transparency: when and how you disclose that content was produced with AI.

Responsibilities: who approves a new tool, who answers questions and who receives an incident report.

Add one sentence making it clear that an employee who asks a question will not be punished for asking. The policies that work encourage people to speak up instead of hiding their use. For AI governance in a small business, the NIST AI Risk Management Framework is a solid reference point that does not require a dedicated team.

Building an approved AI tools list, starting with Copilot

For an SMB already running Microsoft 365, Copilot is often the simplest starting point. According to Microsoft, the business version applies your organization's data protection and does not use your prompts to train its foundation models. Have the exact terms of your licence confirmed, because they keep changing.

One point stays essential: Copilot respects existing permissions. If a SharePoint folder is open to everyone by mistake, Copilot can surface its contents. A review of who has access to what is therefore the best preparation before rollout. For each tool you keep, record the intended use, the data allowed, the owner and the next review date. Treat the list as a living document and update it when an employee asks for a tool you had not planned for.

How Nexxo helps Montreal SMBs set rules for generative AI

Nexxo acts as an external IT department for SMBs across Greater Montreal. We start with an inventory of the AI tools your team really uses, then write a policy with you that fits your industry and your Law 25 obligations. We configure access and controls in Microsoft 365 and train your people on the approved tools. Our AI and process automation team and our cybersecurity team work together so AI supports your business without exposing your data.

If your Montreal business is already using AI without a framework, a first conversation with our team will show where the risks are and what to fix first. Get in touch and we will start with whatever worries you most.

Frequently asked questions

Can my employees use ChatGPT at work?

Yes, as long as you define when and with what data. An approved business account does not offer the same safeguards as a free personal one. The right move is to spell out what is allowed instead of letting everyone guess.

Is Copilot safer than ChatGPT?

Copilot in Microsoft 365 relies on your organization's data protection, which often makes it easier to govern than a consumer tool. It is only as safe as your SharePoint and Teams permissions, though. An access review should come before rollout.

What should a company AI usage policy include?

Permitted tools, off-limits data, human review, responsibilities and a clear path for reporting incidents. Two or three pages are enough. What matters is that people read it, understand it and see it updated regularly.

Does Law 25 apply to generative AI use?

Yes, whenever personal information is entered into the tool. Your company remains responsible for that information even when an outside service processes it. A compliance advisor can confirm your specific situation.

How do I find unauthorized AI tools in a small business?

Start by talking to your teams, since an anonymous survey often reveals more than a technical tool. Then review the apps connected to your Microsoft 365 accounts and the network traffic going to the most common AI services.

About Nexxo

Nexxo Solutions informatiques specializes in IT and technology services for Québec businesses, with a Montreal-first practice serving SMBs across the Greater Montréal area. Acting as an external IT department, we handle a company's IT and AI initiatives so they can focus on their business — working closely with our clients and putting their interests at the center of everything we do.