4 discussions will run in parallel, each focused on a challenge CFOs are actively navigating right now. Choose the table most relevant to you and join a candid, peer-led conversation with CFOs facing the same pressure and trade-offs. Each table is moderated by a senior finance leader to keep the discussion grounded, practical, and relevant, with no presentations and no passive listening. Come prepared to challenge assumptions, compare approaches, and share what is actually working in your organisation. A snapshot of this year’s roundtable themes: - Conviction and capital: where CFOs are actually placing bets right now (and where they're quietly pulling back) - The skills nobody budgeted for: what CFOs are actually hiring for now - Where the line still holds: what CFOs won't hand to AI, even now - Sounding sure when you're not: how CFOs actually talk to the board mid-uncertainty Connect with peers carrying the same accountability, benchmark decisions candidly, and leave with perspectives you can apply immediately in your own organisation.

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.