AI pilots are easy to stand up. Getting them to stick across finance is where things break. This keynote focuses on what it actually takes to move AI from isolated use cases into how finance teams operate day to day. Rather than theory, it draws on practical examples of where AI is already being used across forecasting, reporting, variance analysis, and decision support, and what has worked, what hasn’t, and why. The session will unpack how Randhip is embedding AI into existing workflows, where it genuinely improves speed and insight, and where human judgment still needs to step in. It will also address the common friction points, from trust in outputs to integration with legacy processes, and how leaders are working through them. Expect a grounded view of how AI is being applied in practice, with clear takeaways on where to start, what to prioritise, and how to scale usage in a way that holds up under real finance pressure. Key takeways: - See where AI is already delivering practical value across forecasting, reporting, and decision support. - Understand how to embed AI into existing workflows without disrupting control or creating additional complexity. - Learn how to scale AI use in finance in a way that holds up in real-world conditions, not just in pilot environments.