Finance teams are putting AI to work across more processes than ever, from routine tasks such as invoice matching to higher-level work such as forecasting, scenario planning, exception handling, and close orchestration. These advances offer major upside for businesses, but research shows AI pilots are highly likely to stall when launched before foundational data and governance gaps are closed.

In this webinar, we dig into what separates successful pilots from those that fall short, offering teams that want to move on AI a roadmap for delivering impact. You’ll  learn:

• The key differences between AI as assistant and as agent.
• How to apply a plain-language trust test: visible, understandable, repeatable, auditable.
• Ways to design for the exception, settle governance ownership, and next steps.

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