Many finance functions are experimenting with AI, but few have unlocked meaningful ROI. The reason isn’t a lack of technology; it’s the absence of a clear operating model that connects data, people, and platforms to business outcomes. This discussion explores how leading finance organisations are turning AI from pilot projects into scalable, value-creating systems by aligning strategy, structure, and governance.

Discussion themes:

• Defining “real ROI”: What measurable value from AI looks like in finance operations

• The accuracy paradox: Setting realistic expectations for AI versus human performance

• Organisational readiness: New roles, skills, and operating rhythms for AI-augmented finance

• Data as fuel: Embedding quality, governance, and accessibility for AI acceleration

• Platform integration: ERP, IBP, and analytics modernisation as foundations for success

• Human-in-the-loop: Designing oversight frameworks that balance risk and speed

• Implementation lessons: How to move from experimentation to scalable adoption