ENHANCING COMPLEX DECISION MAKING IN BPM THROUGH ARTIFICIAL INTELLIGENCE: A SYSTEMATIC EXAMINATION

The Artificial Intelligence (AI) has been attributed a significant role in Business Process Management (BPM) and has substituted the paradigm of decision-making strategies of organizations with the complexity of the operational systems. This critical review focuses on the relation of AI and BPM and how smart systems are transforming the complexity of the workflow in decision making capability and efficiency of work in an organization. The literature review will be performed to determine the most significant AI methods and integration models and determine the position of AI in improving the processes. The paper confirms that AI-enhanced BPM suites are reported to achieve high returns in predictive analytics, process automation, and strategic decision support, and are also ineffective in implementation and integration issues. Based on our results, the cognitive AI that successfully gets integrated into BPM must be a formal procedure, which integrates the aspects of cognitive computing with the more commonly recognized process management concepts. The research can be useful in formulating the manner in which AI can alter business process decision-making paradigm.0.