<p>Visual inspections using the traditional method can be inefficient and complicated in some buildings, making the anomaly survey process slow and inaccurate. Recently, studies have been carried out on digital surveying and reality capture techniques as a way of inspecting and capturing the in-situ state of structures, especially in complex scenarios. Anomaly detection using laser scanners is a new area of research that offers many opportunities to improve the current practice of visual inspections, which will reduce the need for skilled labor, avoid human access to hostile environments, and allow for the automatic documentation of related information using building information modeling (BIM). This paper proposes the development of strategies for the inspection, detection, and quantification of anomalies in building structures, using laser scanning, with the support of BIM platforms, applied to a shopping mall as a case study, to improve traditional procedures such as manual on-site inspection. The results are a technical inspection report with a description of the anomalies, a recovery budget, and a contribution to the definition of strategies and criteria for data acquisition with TLS to identify anomalies.</p>