Finance leaders aren’t resisting AI—they’re resisting risk.
As organisations accelerate efforts to embed AI into finance processes, many initiatives fail to scale due to concerns around trust, transparency, and control. In domains where accuracy, auditability, and repeatability are non-negotiable, traditional AI approaches can feel misaligned with how finance systems are expected to behave.
This session reframes the conversation. AI does not need to replace deterministic systems—it can support them.
Through a real-world finance example, we explore how teams are using AI to automate repetitive, high-volume tasks such as data preparation, validation, and exception handling, while keeping calculations, filings, and reporting fully controlled and predictable.
Attendees will leave with a practical framework for where AI belongs in finance, how to apply it safely, and how to scale automation without compromising control or confidence.
Real person here
