Many finance teams have already pointed AI at the routine work — accelerating analysis, automating mundane tasks. While that progress is meaningful, it is also the smaller opportunity.
The larger change is where finance spends its attention. When emerging trends surface on their own, when performance drivers arrive with an explanation attached, when month-end and year-end predictions are generated rather than assembled, the function stops reacting to what already happened and starts advising on what comes next.
This Sept. 29 session takes up that shift directly: how AI moves finance from reactive reporting toward proactive strategic advising, and what has to be true of the underlying data before any of it holds.
Attendees leave with a framework for evaluating AI inside a connected decision-making strategy rather than as a set of isolated tools.
Built for finance leaders, analysts and the operations and data partners who work alongside them.
In this session:
- How AI shifts the role of finance from reactive reporting toward proactive strategic advising
- The progression from trusted data to trusted understanding to decision-ready intelligence
- Where AI can surface emerging trends and explain performance drivers
- A connected decision-making framework that strengthens planning, governance and long-term financial performance