Banks have moved past "What is AI?" to "How do we deploy it safely at scale?" This session examines the operational realities of taking AI from proof-of-concept to production: building governance frameworks that enable speed rather than blocking it, implementing agentic systems that operate with increasing autonomy, managing the organizational change required when AI moves from tool to teammate, and measuring ROI in ways that satisfy both CFOs and boards. Leaders discuss what separates successful enterprise AI deployment from experimental projects that never reach customers.