One of the most time-consuming elements in the production of safety-critical systems is quality assurance. One way to control quality is to scan the produced components with the help of X-rays. The image generated by means of 3D computed tomography (CT) is then manually inspected for component defects such as pores and cracks and it is evaluated whether the components meet the requirements specified in the safety standards. By using Artificial Intelligence, these manual operations can be automated and scaled. In this webinar, Cluster Reply presents this and other use cases for using Artificial Intelligence in quality assurance.