In 2024, airports globally managed over 40 million flights, translating into complex ground operations that include tasks such as baggage handling and refueling, requiring a team of approximately 20 people per aircraft turnaround. This intense pace, particularly during peak seasons, increases the risk of human error and subsequent flight delays, which are a major challenge for the airline industry, costing airlines around €3,030 per 15-minute delay for aircraft like the Airbus A321. To address these challenges, a smart airport operations application powered by MongoDB Atlas and Dataworkz offers a data-driven solution. This system utilizes an agentic voice assistant that guides ground operators via checklists, retrieves real-time answers from manuals using Dataworkz’s retrieval-augmented generation (RAG) capabilities, and logs every action for audit and optimization. Leveraging Google Cloud’s Vertex AI for speech processing and MongoDB’s advanced data management, the solution aims to enhance operational efficiency by reducing training time and errors, providing real-time information retrieval, and ensuring compliance. The comprehensive use of MongoDB’s flexible document model and Dataworkz’s managed platform supports seamless data integration and continuous optimization, offering a potential pathway for more efficient and error-free airport operations.