Establishing critical limits for operation (e.g., maximum load on an overhead crane or flow velocity in pipelines). Exceeding these limits drastically accelerates technical degradation. 3.3.2. Change Management (MOC) Any modification to the process (change in mineral hardness, increase in tonnage) must be evaluated by the Asset Integrity team to understand its impact on the static infrastructure. 3.3.3. Safety and Wellbeing Culture Operational integrity encourages operators to be the "first inspectors", reporting unusual noises, vibrations or deformations, integrating field knowledge with the centralized management system. 4. METHODOLOGY The proposed AIM model is deployed through a systematic four-stage methodology that guarantees a solution tailored to the unique operational context of each mining company. Figure 2 – Diagram of the 4 Stages of the Ausenco AIM Methodology 4.1. Stage 1: Baseline Survey This stage is fundamental to understanding the current state of the assets and the preexisting risk management system. It is divided into: • Data Collection and Validation: Technical, operational, and documentary information is gathered (As-built drawings, Layouts, Risk Maps, Maintenance History). Validation ensures that the information is compatible with the scope of the model. • Asset Segmentation: Information is grouped according to areas and production processes (Mine, Plant, Port) following the ISO 14224 hierarchy. • Definition of Evaluation Criteria: The analytical frameworks are established using
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