AI-Enabled Decision Support System for Enterprise Modeling: Methodology, Technology Stack, and Architecture

Though enterprise modeling processes are intensively applied due to rapidly developing technologies, the artificial intelligence in this area today has a very limited application. However, it can potentially provide for significant improvement of the decision support during the enterprise modeling. The research presented in this paper aims at developing a methodology for building such a decision support system as well as its architecture and technology stack. The results are supported by description of the implemented prototype that has a client-server architecture and is based on the usage of Python, HTML, CSS, and JavaScript.