AI is being applied across finance, but the gap between experimentation and real value is still wide. This panel brings together practitioners working at the intersection of finance, analytics, and AI to share what is actually delivering impact today, and what is not. From forecasting and variance analysis to automation and decision support, the conversation will focus on where AI is genuinely improving outcomes, where it is falling short, and how teams are prioritising where to invest next. Rather than ideal scenarios, this session will unpack the realities of implementation, what scaled, what stalled, and the trade-offs teams are making as they move beyond pilots. Expect a candid discussion on how value is being measured, where AI is changing the way work gets done, and where human judgment still remains critical. Key takeaways: - Understand where AI is delivering measurable value in finance today, and where it is not yet holding up. - Learn how teams are prioritising use cases and investments based on real impact, not potential. - Hear what has worked, what has stalled, and the practical lessons from scaling AI in finance environments.