AI has moved beyond experimentation and is now becoming a core investment priority for finance leaders. The challenge has shifted from identifying potential use cases to ensuring AI delivers measurable business value at scale. As organizations continue to invest in AI capabilities, FP&A has a critical role to play in evaluating ROI, prioritising initiatives, and ensuring investment translates into improved performance. While efficiency gains remain important, the true value of AI lies in its ability to enhance decision-making, improve forecasting, unlock better insights, and create a more agile finance function. This session will explore how finance leaders can move beyond AI adoption to build a disciplined approach to measuring, managing, and maximising AI-driven value. Key takeaways: - Develop a framework for evaluating AI investments based on business impact, not just productivity improvements. - Identify the metrics and outcomes that demonstrate AI value across financial, operational, and strategic priorities. - Build the governance and decision-making processes needed to scale AI initiatives with confidence.