Finance transformation promises greater efficiency, improved decision-making, and stronger business performance - but many initiatives fail to deliver the expected results. In this panel discussion, experienced finance leaders will share the lessons learned from successful and unsuccessful transformation programmes. Discover why adoption often falls short, how effective change management and data governance underpin lasting success, and what separates high-impact transformations from costly implementations that never achieve their full potential. Key takeaways: - Understand why finance transformations succeed or fail by exploring the organisational, cultural, and leadership factors that matter most. - Learn how to drive adoption across the business through effective change management, stakeholder engagement, and strong data governance. - Gain practical lessons from real-world transformation journeys to avoid common pitfalls and maximise the long-term value of finance transformation initiatives.

Boards and investors don't actually want to hear about AI. They want to hear about velocity, and CFOs are increasingly the ones expected to translate one into the other. This session moves past FTE savings as the measure of AI's value and into the metrics boards actually respond to: cycle time, decision speed, capital deployed faster. It's about what it takes to present agentic workflows in a way that builds confidence rather than raising more questions than it answers. Most sessions on AI ROI stop at productivity math. This one is about translation, turning technical capability into the language of trust that boards, CEOs, and investors actually respond to. Key takeaways: - A framework for reframing AI's value from FTE savings to the cycle-time and decision-speed metrics boards actually care about - What to say, and not say, to a board when presenting the results of agentic workflows - How to build the kind of confidence that gets the next investment approved, not just the current one explained