This article explores the strategic integration of artificial intelligence technologies into internal quality audit systems within universities, examining how AI-driven solutions can enhance audit efficiency, improve governance mechanisms, and support continuous quality improvement in higher education institutions. The paper discusses implementation frameworks, applications, challenges, and recommendations for successful AI adoption in academic audit processes.
