The fastest way to turn a helpful AI tool into a privacy problem is to paste the wrong thing into it. A client list, a contract, an employee record, a customer's payment or health details: once that goes into the wrong AI tool, you have potentially handed personal data to a third party you don't control. The good news is that using AI safely isn't complicated. It just needs a few rules everyone follows.
This is the practical companion to a bigger signal: Canada's Privacy Commissioner has now named AI governance a top enforcement priority. Here's how to stay on the right side of it without giving up the productivity.
The core risk, in one sentence
When you type something into an AI tool, you are sending it to someone else's computer, and depending on the tool, it may be stored, reviewed by a human, or used to train the model. That's perfectly fine for "rewrite this paragraph"; it's a problem when the text contains personal, confidential, or regulated information you are legally responsible for protecting. The entire game is keeping that second kind of data out of tools that aren't set up to hold it.
Know what counts as sensitive
Before you can protect it, you have to name it. For a small business, the data to be careful with includes:
- Personal information about customers or staff: names tied to contact details, financial information, health information, anything that identifies a specific person.
- Client-confidential material: contracts, pricing, plans, anything covered by an NDA.
- Credentials and secrets: passwords, API keys, internal system details.
A simple test: if you'd be uncomfortable seeing it on a competitor's screen or quoted in a news story, it doesn't belong in a public AI tool.
Consumer vs business AI: the setting that matters most
The same brand of AI can be safe or risky depending on which version you use. Free, consumer AI tools often reserve the right to use your inputs to train their models and may keep them; business and enterprise tiers typically do not train on your data, give you admin controls, and will sign a data processing agreement. For anything that touches business data, use the paid business tier, for example the Copilot built into a business Microsoft 365 plan, or the enterprise version of a chatbot, rather than a free consumer app signed into a personal account.
Before you trust any tool with business data, check three things: does it train on your inputs (you want no), where is the data stored (data residency can matter under Canadian law), and how long is it kept.
The short list of rules to give your team
Most leaks are accidents, so make the safe path the easy one. A one-page rule set does most of the work:
- Never paste personal, client-confidential, or secret information into a public or consumer AI tool.
- Use the approved business-tier tools for anything work-related.
- When in doubt, redact: swap names and specifics for placeholders before you ask.
- Treat AI output as a draft, not gospel, because accuracy is a privacy obligation too, and confidently wrong personal data is its own problem.
One clear rule people actually follow beats a long policy nobody reads.
Prefer tools that keep data in-bounds
Beyond settings, your choice of tool shapes your exposure. Favour AI that's built into software you already trust and control, like the Copilot inside your own Microsoft 365 tenant that keeps data within your existing environment, over random AI websites that ask you to upload a document. The more an AI tool lives inside your existing, governed setup, the less new risk it adds, and the fewer separate vendors you have to vet and trust.
The Canadian law angle, in plain terms
This isn't only good hygiene; it's the law. PIPEDA, and Quebec's Law 25 if you handle any Quebec resident's data, holds you responsible for personal information even when a third party (an AI vendor included) processes it, and Law 25 carries penalties up to the greater of $25 million or 4% of worldwide turnover. With the Privacy Commissioner now treating AI governance as a top enforcement priority, "the AI tool did it" is not a defence. The obligation stays with you, which is all the more reason to keep the sensitive data out of the tool in the first place.