AI-Augmented ERP Systems in Higher Education: Pathways to Digital Transformation

As colleges and universities look to become more agile, efficient, and student-focused, many are turning to Artificial Intelligence (AI) to modernize their Enterprise Resource Planning (ERP) systems. This paper explores how integrating AI into ERP platforms can drive meaningful digital transformation in higher education. By reviewing current literature and analyzing real-world case studies, the study highlights key capabilities such as predictive analytics for student success, AI-powered chatbots, personalized learning recommendations, and the automation of administrative processes. Institutions that have adopted these tools report tangible benefits, from improved student retention and faster decision-making to streamlined operations and better resource planning. However, this transition is not without challenges. The paper identifies barriers including technical complexity, privacy concerns, algorithmic bias, and institutional resistance to change. It also offers strategies to overcome these issues through leadership, training, ethical governance, and thoughtful implementation. Ultimately, this work shows that AI-augmented ERP systems can do more than just improve back-end processes they can enhance the overall learning experience and support more responsive, inclusive, and future-ready education. The findings offer both practical guidance and a strategic outlook for academic leaders seeking to harness intelligent systems in service of student and institutional success.