In the era of digitalization and constant technological progress, special attention is paid to the automation of HR processes, in particular, a comprehensive assessment of the qualifications of specialists in IT departments. This article is devoted to the analysis of an automated system for comprehensive qualification assessment, which allows not only to effectively assess the technical skills and professional knowledge of candidates and IT department employees, but also to predict their potential for further development and integration into the team. The research focuses on key functional aspects of the system, including machine learning techniques for analyzing candidate data, algorithms for matching skills to job requirements, and tools for technical interviewing and testing. Particular attention is paid to the issues of integrating the system with the existing HR infrastructure of the organization and the possibilities of its adaptation to the specifics of the work processes of the IT department. Based on
the analysis of the collected data, the article presents conclusions about the importance of automated comprehensive assessment systems for increasing the efficiency of the selection and development of IT specialists, as well as recommendations for their implementation and optimization. The study highlights that the use of such systems can significantly improve the quality of hiring and career decisions in the IT industry, helping to build highly skilled and aligned teams.