AI-based anomaly detection automates financial processes, enhances accuracy and enables predictive analytics for smarter decision-making.
Carl Stiller
Carl Stiller is Senior Business Controller Finance Transformation (Interim) at Transdev Sverige AB and Stockholm FP&A Board Ambassador
He has a master's degree in international economics from Linnaeus University in Sweden and ESCE in France.
He has 16 years of experience in the FP&A profession from companies like LG Electronics, CA Technologies, Philips and Spotify. Carl started his consultancy firm two years ago and is now focused on interim and change management within the FP&A area. He currently works as interim head of FP&A at Max Matthiessen.
He is an active member of the Stockholm FP&A Board and lives outside Stockholm with his wife and 3 kids. Carl is also involved in developing the profession in Sweden via his trade union AKAVIA, where he is a board member.
Author's Articles
AI-powered anomaly detection reduces manual workload, enhances financial reporting accuracy, and streamlines financial close processes.
This article will explore the challenges faced by finance departments today regarding deviations and anomaly detection, particularly during the financial close processes.
FP&A professionals need to be motivated and motivate others to trust and to make strategic decisions based on insights from the team. If trust is not yet established between you and your business partner, find the trigger that will make them believe in your analysis and the numbers behind them.