This research introduces a framework for integrating Artificial Intelligence (AI) and Large Language Models (LLMs) into maritime Planned Maintenance Systems (PMS). By automating repair list evaluations and predicting material depletion, the study demonstrates how AI can reduce manual labor, enhance accuracy, and enable proactive scheduling for modern fleets.