The Governance Gap: Why Municipalities Need an AI Policy Before an AI Vendor
Municipalities across Canada are increasingly developing AI policy and procurement guidelines that address data ownership and AI use. That sequencing is correct, and worth defending: policy before purchase, not the other way around.
The risk hiding in "just trying it out"
Public-sector survey data suggests a meaningful share of public servants already using AI at work are doing so with publicly available consumer tools — meaning citizen and operational data may be flowing into systems with no formal privacy guardrails at all. That's not a future risk. It's a current one, quietly happening in departments that haven't been given a sanctioned alternative.
What a working policy actually covers
A usable AI policy for a municipality isn't a lengthy legal document nobody reads. It's a short, practical set of answers: which tools are approved, what data classifications can and can't be entered into them, who approves a new AI use case, and what the escalation path looks like when something goes wrong. Procurement guidelines follow directly from this — a vendor evaluation checklist that asks about data residency, retention, and model training use before a single demo happens.
Municipalities that get this sequence right end up with AI vendors who can answer these questions cleanly, and staff who know what "safe to use" actually means — well before the first system goes live.