Put clear ownership and oversight around AI.
Create the policies, roles, risk decisions, monitoring and review processes needed to manage AI as use expands.
Make AI decisions repeatable and accountable.
What can people use?
Define approved tools, acceptable use, sensitive-data rules, restricted uses, accountability and escalation.
Who owns the decisions?
Set executive ownership, decision rights, risk acceptance, approvals, human oversight and cross-functional roles.
How do we govern AI over time?
Maintain inventories, monitor exceptions and incidents, review performance and refresh policy as the environment changes.
From policy to ongoing oversight.
AI acceptable-use policy
Clear rules for approved tools, data handling, verification, accountability, higher-risk uses and escalation.
Explore policy development →Governance operating model
Ownership, roles, decision rights, intake, risk classification, approvals, evidence and review cadence.
Continuous governance
AI inventory, monitoring, exceptions, incidents, provider risk, lifecycle reviews and ongoing strategy review.
Use recognized guidance to structure the work.
We draw from NIST AI RMF, ISO/IEC 42001, ISACA, Cloud Security Alliance and relevant Canadian guidance, then apply the controls and governance structure to your environment.
Need an AI policy first?
Our AI Policy Development service provides a focused way to establish clear rules and a foundation for broader governance.
AI Policy DevelopmentNeed stronger governance around AI?
Tell us how AI is being used today and where oversight is breaking down.
Get in touch →