Corrosion and maintenance anomaly and integrity management systems (AIMS) are now the foundation of many industrial and engineering systems regarding sustainability and long-lasting assets. The oil and gas industry has started developing new, integrated management systems to keep its assets safe from real external failures. However, the overlapping of assets’ integrity responsibilities occur when a conflict of interests, such as production, safety, environmental, and financial interfacing, are inaccurately weighed against each other. This paper will review the case study of the anomaly and integrity management systems implemented on the Sabratha offshore platform. In order to achieve sustainable asset implementation, it is essential to identify the different weights given to the critical factors controlling the operational anomaly and integrity of facilities on offshore platforms and re-classify the potential failures. Therefore, design practices are reviewed. Moreover, inspection techniques and strategies are re-assessed and used to describe the consistent integrity assessment techniques linked to anomaly monitoring and maintenance criteria. Finally, the anomaly and integrity management system design use activity, process models, structures, and flow diagrams are reviewed. This work will be helpful for the further enhancement of a new machine learning system to support this approach.