From Signpost to Navigation System: the Evolution of EPM in the Age of AI
Classic Enterprise Performance Management (EPM) systems have long served as signposts focused on setting a goal, optimizing processes, and staying the course. This logic is increasingly breaking down in the face of volatile markets, new regulations and the emergence of disruptive technologies. Today, management control is evolving from a static signpost into a flexible navigation system: The goal remains clearly defined, but the path to achieving it adapts dynamically.
The use of artificial intelligence is what makes this new control logic possible. AI analyzes data in real time, recognizes patterns and simulates future scenarios which decision-makers can use to make faster, more informed decisions.
In this white paper you will learn how the transition from classic to AI-based EPM is being achieved. We examine the various development stages and explain why the AI transformation in management control must also be embedded in the corporate culture.
Key Questions in the Whitepaper
- How to transition successfully from classic to AI-based EPM?
- What are the stages of development and what requirements must companies meet to be able to use AI-based EPM?
- Which factors beyond the technology level influence the successful introduction of artificial intelligence in management control?
- What role does corporate culture play in successful adoption? How can CFOs drive the change in a top-down manner?
- And why should companies also consider the bottom-up perspective?