This study primarily focused on enhancing internal audit function by identifying the most important factors that contribute to improving HRM strategic planning and studying the ability to use neural networks to assist internal auditors to review HRM strategic plans. There may be a significant gap between auditors’ knowledge of strategic HRM implementation and the practical reality, so we propose an internal audit framework that seeks to ascertain the role of human resource planning in contributing to improve effectiveness of the organization. This study established a HRM strategic audit model based on the integration of deep neural network. Training data is extracted from an electronic questionnaire that was distributed to human resources staff and faculty members, and we used deep learning neural network-based predictors to help in predicting strategic human resources plans. We conclude that neural network seems promising for effective HRM strategic audit.