Saskatchewan’s public schools have long depended on visual inspections and reactive maintenance, leading to inconsistent funding and missed priorities. This study introduces an Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) framework to strengthen capital planning by combining expert judgment with limited data. The model assessed 10 criteria to prioritize five anonymized schools, translating expert input into fuzzy numbers to capture uncertainty in decision weights. Though demonstrated on a small sample, the framework can scale to larger systems and be integrated into existing planning. Overall, it provides public-sector decision-makers with a practical, transparent, and adaptive tool for more consistent, equitable, and data-driven school infrastructure investments under uncertainty.