This article proposes an innovative idea for the development of a new information-analytical system in the field of external assessment of education quality (competencies) using Artificial Intelligence (AI) and Big Data (BD). This system represents an innovative approach to external evaluation of education quality, covering various levels of assessment from individual learners to the national level. The system aims to use AI and BD technologies to enhance the objectivity, reliability of assessments, and provide a broader coverage of students and educators. The system's architecture includes various modules, each designed to address specific aspects of external evaluation, such as education quality, teacher competence, psychodiagnostics, and career guidance, with the innovation of this system lying in the comprehensive interaction of these modules. The implementation of this system is aimed at improving education management, building individual learning trajectories with tracking dynamics and history of educational achievements. This will also ensure transparency in decision-making, reduce the level of corruption, and create equal educational opportunities for different regions and population groups