AI-enabled scenario planning helps FP&A move beyond forecasting by turning uncertainty into signals, triggers, owners, and accountable decisions.
Andreas Seufert
Andreas Seufert is a Professor at Ludwigshafen University of Applied Sciences and is the Director of the Business Innovation Lab, and Co-Chair of the AI FP&A Committee. He also heads the Analytics + Controlling Expert Group of the International Controller Association (ICV).
Professor Dr. Seufert studied Business Administration at the University of Nuremberg and earned his Ph.D. at the University of St. Gallen. After his Ph.D., he was a lecturer and researcher at the University of St. Gallen and completed the Faculty Development Program at Massachusetts Institute of Technology / Sloan School of Management.
He has advised numerous large international companies and has written over 200 publications. His main fields of interest are Business Intelligence, Big Data, Artificial Intelligence / Machine Learning, Corporate Controlling, Digital Transformation, and driven Business Models / Business Model Innovation.
LinkedIn profile: https://www.linkedin.com/in/andreas-seufert-hwg-lu/
Author's Articles
AI in Margin Management explains how FP&A can move from margin visibility to accountable decisions by linking leakage signals to drivers, ownership and intervention
Learn why AI-enabled working-capital visibility is not enough, and how FP&A can connect cash signals to ownership, action and learning.
AI-enabled forecasting will expose weak KPI logic. Learn how FP&A can connect drivers, decision routines and governance before risk escalates.
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