Artificial Intelligence and the Transformation of the Management Controller’s Role

Abstract

Artificial intelligence (AI) has emerged as a profound yet largely silent force reshaping contemporary organizations, progressively redefining management practices and associated professional roles. This article examines the evolving role of the management controller within an increasingly digitalized environment, highlighting the mechanisms through which AI reconfigures activities, skill sets, and organizational positioning. Based on an extensive literature review, we propose an analytical framework structured around three interdependent dimensions: technological transformations (tools, algorithms, and automation), cognitive shifts (new modes of reasoning and engagement with uncertainty), and decision-making reconfigurations (redistribution of tasks and responsibilities). This framework offers a comprehensive lens through which to capture the dynamics of ongoing organizational transformation. The article further identifies a sequential explanatory mechanism, “Automation → Cognitive Liberation → Analytical Augmentation → Role Transformation”, which helps to explain how the automation of routine tasks generates cascading effects, ultimately leading to a strategic repositioning of the management controller within the organization. In this perspective, we reconceptualize the emerging role of the management controller as that of a “data mediator,” acting as an interface between algorithmic systems and managerial decision-making. Additionally, we develop the notion of hybrid competencies, structured around three complementary languages: that of data scientists, operational managers, and senior executives. This tripartite perspective sheds light on current challenges in training and skills development within highly digitalized environments.