Process management is a key concept in business. By analyzing and monitoring how processes are carried out, a company can track its operational performance and identify opportunities for improvement. However, for many companies, this aspect of management is still too often underdeveloped.
The unique aspect of the U-BPM research project led by Malik Schinckus and supervised by Professor Anthony Simonofski (UNamur School of Management and member of the MINDIT research center) is its specific focus on the people who execute processes on the ground—namely, the employees themselves. “Most organizations still oversee operations from a distance, collaborating with their employees only through Q&A sessions or interviews. To better understand the field and find effective solutions, it is essential to optimize collaboration between the ‘management’ and the ‘domain experts,’ that is, the people responsible for executing the processes,” explains Malik Schinckus.
The goal of Malik Schinckus’s thesis is therefore to implement tools and methods that facilitate better communication between these groups and improve the flow of information, with the aim of sustainably optimizing process execution. To achieve this, generative artificial intelligence (AI) appears to be a promising avenue: “Generative AI is indeed accessible to everyone, as interactions are based on natural language,” continues Malik Schinckus.
