This use case applies Industry 5.0 principles to improve weld quality and data-driven quality assurance for welding machines. It uses real-time data for predictive maintenance, root-cause analysis, and remote expert support. Smart AI agents capture and digitalize expert knowledge, with hybrid modelling, monitoring, and decision-making. KPIs/KVIs include a 25% improvement in tool wear estimation, 25% faster feedback time, and 15% reduction in commissioning time. The use case also considers ethical and safety aspects, with automated assessments and privacy-preserving data collection