This manuscript presents an exploratory mixed-methods case study examining the impact of artificial intelligence (AI) in the form of generative pretrained transformers (GPTs) and large language models on special education administrative practices in one school district in the Northeast United States. AI holds tremendous potential to positively impact administrative practices, reducing the time administrators spend collecting and synthesizing data in special education settings (Center for Innovation, Design, and Digital Learning, 2024; Marino, Vasquez, Dieker, Basham, & Blackorby, 2023). Prior to the case study, a description of systematic data collection, cleansing, and traditional methods of data analysis are presented. This is followed by a discussion of data analysis using GPTs. The importance of data synthesis and effective communication is also included. Finally, the manuscript presents findings from a school district piloting GPTs to enhance administrative effectiveness during staffing considerations, program development, and budget allocation for staff.