Digital optimization of university processes: creation and implementation of an automated standards compliance control system

Abstract

In the modern higher education system, the administrative and methodological workload of staff has reached a critical level. One of the most labor-intensive yet highly formalized tasks remains standards compliance control of student papers, namely checking term papers, theses, and reports against dozens of national formatting requirements. This routine operation takes valuable time from teachers and methodologists, creates bottlenecks in the educational process, leads to inevitable errors caused by the human factor, and ultimately reduces the overall efficiency of the university. This article presents a detailed analysis of the economic and organizational grounds for introducing an intelligent automated standards compliance control system. The technological side of the issue is examined with an emphasis on a comprehensive business justification of the project. The focus is a specific development represented by a cloud service based on artificial intelligence and computer vision technologies. The system can automatically analyze an uploaded document, compare it with a digital standard, and generate a detailed report on formatting violations. The article consistently reveals the key aspects of the project, from an in-depth analysis of the target audience’s problems and the shortcomings of existing manual and semi-automated solutions to a detailed presentation of the developed system. Special attention is paid to economic modeling, including market assessment (TAM, SAM, SOM), potential profitability, and a viable business model. The practical part includes a description of the created prototype, its integration into the educational environment, a phased implementation roadmap, and an analysis of the required resources and potential risks. The study demonstrates how digital transformation of routine processes can become a driver of better educational quality, optimization of management costs, and release of the intellectual potential of university staff for strategic tasks.