This article explores the potential of artificial intelligence (AI) for academic advising. Specifically, it examines how AI-powered machine interpretation and data analysis can be used to deliver advising services anytime, anywhere. This system would eliminate the need for students to physically meet with advisors and could answer their academic-related inquiries throughout their studies. Additionally, the system could alleviate the burden on faculty advisors by automating the process of the follow-up with individual students, especially during times of crisis. The research employed a sample of 17 female students enrolled in the pre-master's program at the Faculty of Women, Ain Shams University, during the academic year 2022. The researcher developed several measurement tools, namely, a satisfaction scale to gauge student satisfaction with the intelligent system and advising services, a stress-relief scale to assess student stress levels after using the system, and an experimental treatment material -- the design of the intelligent system itself. The results demonstrated the effectiveness of the intelligent system in both increasing student satisfaction and reducing stress levels, particularly during times of crisis. Research limitations/implication: The limited sample size of this study may restrict the generalizability of the findings. Future research could explore the impact of intelligent academic advisors on students from diverse backgrounds to gain a more comprehensive understanding of their broader implications.