rectifAI is an AI-based maintenance controller that brings adaptive reasoning to technical operations of airlines. It combines deterministic logic with predictive machine-learning models to form a cybernetic control loop that refines agentic actions. It reads operational data, recommends actions, and learns from the outcome of each decision. Over time, the system becomes more accurate, more context-aware, and better aligned with real operational needs. This white paper details rectifAI’s architecture, AI methodology, and integration strategy, demonstrating how the platform achieves real-time decision intelligence to improve the dispatch reliability without compromising safety or compliance. The AI infrastructure of rectifAI serves as the foundation for future technical operations of airlines through its focus on scalability, safety assurance, explainability, and deployment flexibility.