AI and ML enabled BPM: a novel approach

In the fast-changing business landscape, the challenge to emulate breakthroughs to improve process efficiency and productivity while increasing organization value has become a priority of most organizations. Ultimately the aim is to meet business objectives, staying competitive by building the worth of the organization to its customers while minimizing costs. Managing business processes effectively has been a prime goal to maintain competitiveness and sustain peak performance, which can also be improved by leveraging innovative technologies such as artificial intelligence (AI) and algorithms in machine learning (ML), to amalgamate business processes for providing a sophisticated form of optimization and visualization for identifying inefficiencies, enhancement opportunities and measuring the effectiveness of implemented business process improvement initiatives. This study generates a novel conceptual approach using a BPM (Business Process Management) solution adopting AI and ML algorithms in the higher education sector, specifically in a student study abroad application cycle of an Australian university, to address current BPM challenges. Leveraging ML and AI data driven decision and process mining capabilities to develop a novel BPM approach will lead to an organization’s strategic process improvement becoming more profitable and cost-effective with trustworthy processes, thereby enhancing the value of the organization, and improving a student’s international mobility experience.