Efficient hydrocarbon transportation depends on extensive pipeline networks requiring regular inspections for safety and efficiency. Deadlegs, parts of the system prone to corrosion, pose significant challenges. Traditional manual ultrasonic testing lacks the accuracy needed for effective corrosion assessment. Permanently installed ultrasonic sensors, enhanced with Artificial Intelligence of Things (AIoT) and NDE 4.0, provide a better solution. These technologies use non-destructive methods and digital tools, like AI and machine learning, to detect material flaws, offering higher quality and more frequent data. A case study demonstrates how advanced AIoT solutions effectively monitor deadlegs, ensuring pipeline integrity. Implementing these technologies enhances corrosion detection and mitigation, safeguarding critical infrastructure.