In this paper we suggest a flexible model for software support system that is able to automate data collection and analysis of academic and research management information. We follow on the experimental implementation, tested at the Plovdiv University to assess the strengths and challenges that face introduction of intelligent data processing and application of LLMs in support for higher education. Usability and quality of various support tools is also assessed, based on feedback and use statistics collected over the complete experiment period.