Artificial intelligence is compressing decision timelines across higher education, often faster than governance and planning can absorb. The challenge is not whether to act, but how to decide wisely: which AI choices demand enterprise alignment, where local experimentation is essential, and how institutions can learn deliberately rather than react episodically. This session examines how governance, investment, and experimentation can work together to enable AI adoption that is responsible and durable—balancing urgency with stewardship, innovation with trust, and speed with long-term institutional integrity.