More Canadian businesses are using AI. Before adding it to an operating process, decide which work it should support and what controls the team will need.
Before using AI in an operating process, define who is responsible, what information the tool may use, how outputs will be reviewed, and how people will be trained.
What "ungoverned" actually costs
The failure mode isn't dramatic. It's quiet: an employee pastes a customer list into a public chatbot. A quote goes out with AI-drafted numbers nobody reviewed. Two teams automate the same process in different tools, and now there are two sources of truth. Each incident is small. The pattern is a business that has added risk without adding capability.
Canada’s privacy regulators advise organizations that develop, provide, or use generative AI to apply privacy principles, define accountability, assess necessity and risk, and protect personal information. Applicable obligations vary by organization and activity; businesses should confirm their requirements with qualified advisors. Read the Office of the Privacy Commissioner guidance.
The readiness sequence
A useful readiness sequence is:
- 1. Fix the workflow first. AI applied to a broken process industrializes the breakage. Map and repair before you automate.
- 2. Check the data. Automation is only as good as the information feeding it. If your data lives in six disconnected tools, that's the first project — not the AI.
- 3. Write the governance down. One page beats zero pages: what tools are approved, what data may never leave the building, who reviews automated output, who's accountable.
- 4. Pilot where the value is provable. One workflow, one baseline, one KPI. Expand from evidence, not enthusiasm.
- 5. Train for trust. A team that doesn't understand the tool will bypass it — or worse, over-trust it. AI literacy is part of the implementation, not an extra.
The question to ask before any AI purchase
Not "what can this tool do?" but: "which of our workflows is ready for it — and how will we know it worked?" If there's no confident answer, the readiness work comes first. It's cheaper than the alternative, and it's what makes the eventual AI actually pay.