The business environment around the world is experiencing a massive change due to the inclusion of Artificial Intelligence (AI) in Business Process Management (BPM). This paper is a critical analysis of how Artificial Intelligence-enabled tools, especially process-mining, robotic process automation (RPA) and predictive analytics, are transforming BPM initiatives and the adaptation of workforce. It considers the operational implications on efficiency, decision making and organization in various regions and sectors of operation. Through a combination of both sociotechnical systems lens perspective and a hybrid conceptual and empirical methodology, this paper assess the transformation of workplace competencies, the transformations of decision frameworks, and the presence of new roles in the context of AI-augmented enterprises. Based on scholarly research, the case studies in the industry, and professional reports, it unveils the possibilities and constraints that AI offers in the frames of BPM. The evidence indicates that although AI may lead to the unprecedented efficiencies, it also requires substantial cultural, ethical, and structural adjustment. The research will establish the discontinuity between technological implementation and approaching business transformation human-related.
Abdullateef Okuboye (Fri,) studied this question.
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