Ask a room of executives about AI governance and watch the energy drop. People hear governance and think committee. Reviews. Six-week delays.
That’s what governance looks like when it’s bolted on after the fact. Done right, it’s the opposite: the thing that lets you move fast without breaking things.
At Maple Leaf Foods we built the data governance foundation before the AI wave arrived. A ten-step strategy that turned unmanaged data into an AI-ready estate. A clear labeling standard, the CISA Traffic Light Protocol, adopted across business and legal. When Copilot and agentic workloads came along, the guardrails were already in place, so teams could build with confidence instead of waiting for permission.
Deloitte’s State of AI in the Enterprise found that 74% of companies plan to deploy agentic AI within two years, while only 21% have a mature governance model for it. (Deloitte) That gap is the whole argument. The ambition is there. The steering isn’t.
Here’s the reframe I give leadership teams. Governance is what makes speed safe. Without it, every AI initiative carries a quiet risk conversation that slows everything down. With it, people know the boundaries and can run.
The companies that win with AI won’t be the ones with the fewest rules. They’ll be the ones whose rules are so clear that nobody has to stop and ask.