Most AI transformation conversations split into two disconnected debates: what to build and how to monetize it. Treated separately, both fail. Teams ship AI features nobody needs, price value they haven't proven, or invest heavily without tying outcomes to the metrics the business actually cares about. This session introduces a practical framework that connects product strategy, commercialization, and financial discipline. Learn how leading SaaS teams decide which AI capabilities are worth building, validate their value before pricing them, measure success against business outcomes, and know when to retire legacy features that no longer deliver impact. In this session, you'll learn: - How to prioritize AI capabilities that create measurable customer and business value. - How to validate AI features before monetizing them and measure success beyond adoption metrics. - How to balance AI investment with business outcomes—and know when it's time to retire legacy features.