AI Governance Toronto
Your AI is deployed - do you know what it's accessing? G4NS AI Governance Framework: Shadow AI audit, visibility & PHIPA/PIPEDA controls for Toronto orgs. (416) 623-9677.
After the initial engagement (Discover, Map, and Govern phases - typically 2–4 weeks), ongoing governance is a managed monthly service. Each month we review AI activity logs and usage reports across your M365 tenant and connected tools, check for policy violations or new shadow AI usage, assess any new AI tools your employees or vendors have introduced, update governance controls as the AI landscape evolves, and deliver a monthly governance summary to your leadership team. You get visibility into what your AI stack is actually doing - not just assurance that policies exist on paper.
Shadow AI refers to employees using public AI tools - ChatGPT, Gemini, consumer Copilot - with company data, without IT or management awareness. Even if your organization has officially deployed one AI tool, employees are almost certainly using others. In a healthcare or legal setting, this means patient records or client matter information may already be flowing through external AI services. We find every active AI tool across your organization and stop unauthorized usage before it becomes a breach.
Shadow AI refers to employees using public AI tools - ChatGPT, Gemini, consumer Copilot - with company data, without IT or management awareness. Even if your organization has officially deployed one AI tool, employees are almost certainly using others. In a healthcare or legal setting, this means patient records or client matter information may already be flowing through external AI services. We find every active tool and stop unauthorized usage before it becomes a breach.
The G4NS framework was built from real engagement experience across Toronto's healthcare, legal, and financial services sectors - industries where the regulatory consequences of AI misuse are most acute. It is tool-agnostic by design, covers shadow AI as well as sanctioned tools, and delivers enforcement through technical controls rather than documentation alone. The Discover → Map → Govern → Monitor methodology is our proprietary process, not a repackaged vendor product.
It's not too late, and in fact most of our governance engagements start with organizations that already have AI running. The first step is a Shadow AI Audit - we discover which tools are active, what data they're accessing, and where your exposure is right now. From there we build the controls and policies around your existing deployment, not a hypothetical future one. Acting now is significantly less costly than acting after a compliance incident.