// AI GOVERNANCE

How responsibly is your AI governed?

You're shipping AI features or building on top of someone else's models. The question your board, your customers, and a future regulator will ask is the same one: who's accountable, and can you show your work? This 2-minute check gives you an honest readiness tier and the next three moves.

AI Governance readiness assessment

What's bringing you here today?

What is AI governance?

AI governance is how an organisation decides who's accountable for its AI, which uses are allowed, and how risk gets managed across a system's life. It covers people, policy, and controls, from a use-case register through data handling, human oversight, and post-launch monitoring. Good governance lets you answer 'how is this controlled?' with evidence.

What are ISO/IEC 42001 and the NIST AI RMF?

ISO/IEC 42001:2023 is the first international standard for an AI management system, a certifiable set of requirements for governing AI using a Plan-Do-Check-Act cycle. The NIST AI Risk Management Framework (AI RMF 1.0, 2023) is a voluntary US framework built on four functions: Govern, Map, Measure, and Manage. One certifies; the other guides practice.

Does Canada regulate AI?

Canada has no AI-specific law in force. The Artificial Intelligence and Data Act (AIDA), part of Bill C-27, died when Parliament was prorogued in January 2025 and won't return in that form. Existing privacy law still applies to AI, and the government's 2026 'AI for All' strategy signals targeted rules ahead rather than one broad act.

Common questions

Yes, scaled to your size. You don't need a 40-page policy, but you do need to know where AI is used, who owns the risk, and what data goes into it. A one-page register and a named owner cover most of the exposure that actually matters for a small team.

No. Most AI governance failures are technical and operational: an unmonitored model that drifts, prompts leaking customer data, or a vendor change no one tracked. That's why governance needs people who understand both the IT systems and the AI, not lawyers alone.

Because the risks didn't die with the bill. Privacy law (PIPEDA) already applies to AI, customers and boards are asking now, and Canada's 2026 strategy points to targeted rules coming. Teams that build governance early aren't scrambling later, and they win the deals where trust is part of the buying decision.

Build your AI use-case register. List every place AI is bought, built, or embedded, name an owner for each, and flag anything that touches personal data or consequential decisions. It takes an afternoon and it's the foundation every other control depends on.

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