The integration of artificial intelligence in veterinary medicine represents a paradigm shift toward precision livestock management. This study presents the development and implementation of an intelligent expert system designed to evaluate the therapeutic effects of Naftalan oil on ovine gastric function. Through systematic analysis of dose-response relationships across four treatment groups (5, 10, 15, and 20 ml) compared to control conditions, we demonstrate significant improvements in gastric pH levels, rumination duration, and feed intake capacity. The expert system architecture encompasses a comprehensive knowledge base, inference engine, user interface, and adaptive learning module, achieving 95% accuracy in dosage recommendations while reducing decision-making time by 70%. Our findings reveal that the 20 ml dosage produces optimal therapeutic outcomes, with gastric pH increasing by 1.5 units, rumination time extending to 7 hours, and feed intake capacity improving by 20%. Hematological parameters showed concurrent improvements, including 7% increase in erythrocyte count, 8% elevation in hemoglobin levels, and 10% rise in leukocyte count. This research establishes a foundation for intelligent decision support systems in veterinary practice, demonstrating how traditional therapeutic knowledge can be systematically integrated with modern computational approaches to enhance animal health outcomes [1-3].