Decision Governance helps FP&A turn AI-supported signals into accountable management decisions through clear ownership, boundaries, evidence and learning.
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-enabled scenario management helps FP&A turn uncertainty into trigger-based action by connecting signals, owners, interventions, and trade-offs.
AI-enabled scenario planning helps FP&A move beyond forecasting by turning uncertainty into signals, triggers, owners, and accountable decisions.
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
+
Subscribe to
FP&A Trends Digest
We will regularly update you on the latest trends and developments in FP&A. Take the opportunity to have articles written by finance thought leaders delivered directly to your inbox; watch compelling webinars; connect with like-minded professionals; and become a part of our global community.