This article is devoted to the conceptual substantiation of an intelligent information system for competency assessment as an instrument for overcoming the limitations of traditional approaches and ensuring individualization of the educational process in the context of digitalization of higher education. The study addresses the global problem of the gap between competency-based approach requirements and existing assessment tools that fail to meet the needs of educational process individualization. The limitations of traditional learning management systems (LMS) are analyzed, which demonstrate significant deficiencies in their ability to analyze qualitative information and ensure system adaptability to the individual needs of learners. The theoretical framework of the research defines the essence of competency as a complex dynamic set of professional knowledge, skills, abilities, and value orientations, substantiates the principles of competency assessment, and reveals the characteristics of intelligent systems as a new class of automated information processing systems. A conceptual architecture of an intelligent information system for competency assessment has been developed, integ
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