The use of artificial intelligence (AI), which is in constant development, has impacted various spheres of society, profoundly reshaping how organizations conduct their business and bringing significant challenges. Understanding the applications and maturity levels of AI technologies is crucial for organizations seeking to harness the full potential of these innovations. The systematic literature review (SLR) revealed that while there are some models for stages of AI application, none have been specifically adapted and evaluated for the facilities management (FM) environment. FM is an operations area responsible for integrating people, spaces, processes, and technologies in built environments, aiming for optimal functionality throughout the life cycle. Additionally, the SLR revealed that AI applications in FM often rely on legacy platforms such as supervisory control and data acquisition for building maintenance activities and building information modeling for construction, as a form of adaptive technologies. Given this gap and the importance of this sector to companies, it is essential to identify which AI technologies are used and at what stages they are. The results indicated va
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