Non-existent or broken AI governance can be an organization’s biggest threat amid AI advancements, as the tools often reach most workplaces before any rules do. A policy written after everyone has already chosen their own tools becomes a risky cleanup exercise rather than a guardrail.
AI policy and governance planning from the Canadian AI Advancement Institute structures an AI policy to properly govern AI tools across your organization. We work alongside your legal and governance teams, bringing in policy and governance partners as needed rather than handing over a template.
The work aligns with and draws on the same body of ethics and security material we teach, so the policy your staff are asked to follow and the training they receive say the same thing.
Writing an AI policy can be difficult; however, when done correctly, it mitigates the risks associated with your team’s adoption of AI tools. One of the biggest risks is shadow AI use, which often happens when staff adopt consumer tools on their own accounts because the tools are useful, and the organization finds out later. This can circumvent your data and security practices, expose client data, and leave space for poorly reviewed AI outputs to make their way into your deliverables.
Your policy should clearly establish use, point to resources for your staff to reference and offer a foundation for successful implementation of your AI adoption efforts.
Policy also sits in the middle of the ETPIA framework we use for AI adoption: exploration, testing, policy, implementation and adoption. Its placement matters: a policy written before implementation shapes overall adoption.
CAIAI has taken governance and policy questions into rooms where the tools were already in use, from a national industry association to municipal-scale employers and executive groups, usually starting from shadow AI rather than from a blank policy document.
What tends to change is that AI use stops being invisible. Leadership teams leave able to say which tools are in play, what the rules around them are, and who decides when a new one appears.
These posts cover the ground a policy should address.
Learners or employers are usually unaware of opportunities to pay for their learning. We have shared resources to help you identify available funding opportunities, including scholarships for individuals and grant programs for individuals and employers.
Apply for a scholarship through our Canadian AI scholarships page. In addition, visit our Canadian AI grant funding page to see what individuals or employers can apply for.
Tell us what your organization does and where you already use AI. We’ll follow up within two business days.
The Canadian AI Advancement Institute exists to help Canadians learn, adapt and succeed with AI. Policy is part of the adapt: the point where an organization decides, in writing, what good AI use looks like for its own people.
