Public-sector AI adoption carries the highest transparency and accountability bar of any sector, governed by policy frameworks like the federal Directive on Automated Decision-Making that most vendors and even internal teams underestimate. Procurement cycles are long, but the resulting relationships are stable and reference-generating once secured.
Typical investment: CAD 50,000-200,000 initial engagement, procurement-cycle dependent
Every sector treats AI governance differently — what counts as a real risk, who signs off on it, and which frameworks actually get referenced in a Board conversation. The breakdown below isn't generic: it reflects how AI governance plays out specifically for organizations in Government, from the challenges that show up first to the people who typically need to be in the room.
Artificial intelligence management systems — organizational accountability, AI policies, lifecycle governance, risk management and continuous improvement.
The Govern, Map, Measure and Manage approach for identifying and controlling risks arising from AI systems.
Canadian federal privacy law governing the collection, use, disclosure and safeguarding of personal information.
The stakeholders typically at the table for an engagement in this sector.