In 2023, a team of data scientists, engineers and architects began investigating how the process for informing the crew about technical defects in the cabin could be improved. Previously, the crew was informed of known defects by means of a multi-page PDF document, the “Hold Item List” (HIL). As this document only lists all of the cabin's defect entries, it can lead to inefficient briefings for the crew. The aim was therefore to use AI to structure unstructured technical data and present the cabin status from the HIL in a more user-friendly and accessible way. By using AI techniques such as natural language processing and machine learning, we can extract the HIL content, divide it into different categories, transfer it to the crew's mobile devices and visualize it using XR. This solution displays defects such as a malfunctioning in-flight entertainment system or other seat damage directly in the crew's field of vision, allowing them to see any issues at a glance and alerting cabin crew more quickly to findings that could impact customer satisfaction and which they could address in advance.