When your assumptions change, how quickly can you see what that means for your models? According to the FP&A Trends Survey 2025, just 2% of organizations are using dynamic, AI-powered driver-based planning—but they’re seeing much better forecast accuracy as a result. At the same time, many teams are still stuck with static models and disconnected data, which makes it harder to adapt when things change.
AI is opening the door to real-time predictions and scenario testing, but the real opportunity comes from combining it with driver-based thinking. That’s what makes planning faster, more flexible, and more useful for decision-making.
Join this expert panel webinar from FP&A Trends to see how driver-based planning is evolving in the age of AI. You’ll hear from senior finance leaders about how they’re building more dynamic models, identifying the drivers that matter most, and making real-time, scenario-based planning a reality.
The Panel:
- Mike Uvarov, Head of FP&A at Viskase Companies, Inc., Chicago FP&A Board Member
- Vignesh Dumonceau, CFO at WAGO, Zurich FP&A Board Member
- Graham Hunter, AI/ML Solution Architect at Wolters Kluwer CCH Tagetik
- Olga Rudakova, FP&A Trends Ambassador and Discussion Facilitator
Agenda:
- Driver-based planning and AI: Key concepts
- From static models to dynamic, AI-enabled planning
- Key challenges and practical implementation steps
- Leveraging AI to scale driver-based models
- Conclusions, recommendations, and Q&A session