First, acknowledge that uneven AI adoption is a risk in itself. As AI becomes embedded across the enterprise, risk management becomes a leadership discipline, not just a technical one. Visibility and governance determine whether organizations absorb disruption or amplify it. Second, align executives around a shared, real-time view of AI risk. And third, move from static controls to workflow-based governance—making risk visible, measurable, and actionable across the business. Focus on resilience, not perfection.