This paper examines the Individualized Credit for Prior Learning (CPL) process in business education. It highlights its role in accrediting students' experiential learning and bridging practical experience with academic credit. This research then recommends solutions that include AI tools, advisor training, and centralized resource hubs. Most promisingly, integrating AI tools helps identify skills, suggests alignment with academic competencies, and provides personalized feedback on students' submissions. It also passes through the ethical dimensions of responsible AI implementation, like data privacy, fairness, and transparency. These findings suggest that advisor support, coupled with AI-enhanced tools, would not only increase the quality of submissions but also make the process more effective and accessible. Integration of this technology into the targeted support strategies will help the iCPL process serve a broader student population and thus foster greater inclusivity and lifelong learning opportunities in higher education. [For the full proceedings, see ED671809.]