Healthcare organizations are under real pressure to adopt AI — for administrative efficiency, clinical decision support, and workforce relief — while patient data sensitivity and clinical liability make governance failures unusually costly. The work here starts with a defensible AI inventory before it moves into policy or procurement.
Typical investment: CAD 35,000-150,000 initial engagement, CAD 15,000-25,000/month ongoing
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 Healthcare, from the challenges that show up first to the people who typically need to be in the room.
Information security management system requirements and Annex A controls.
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.