This presentation examines how AI and computer vision can enhance offshore integrity management by standardizing corrosion detection and supporting risk-based maintenance decisions. It will demonstrate how automated analysis of high-resolution inspection data delivers consistent corrosion quantification, reduces variability between inspectors, and integrates directly with existing integrity and repair prioritization workflows. Attendees will gain insight into how AI-generated condition data improves asset visibility, reduces the time required to process inspection reports, and enables objective, repeatable maintenance planning. The presentation will also discuss practical implementation considerations and the value of creating a reliable digital baseline for future inspection campaigns.