Acute abdominal pain syndrome represents one of the most common and diagnostically challenging presentations in emergency medicine. We present a pilot evaluation comparing a multidisciplinary AI system with a single-model AI for diagnosing and managing acute abdominal pain syndrome. The multidisciplinary AI achieved 94.4% overall diagnostic accuracy, significantly outperforming ChatGPT-5.0. Our findings support the emerging paradigm of task-distributed AI in acute care.