Using AI and Hashgraph Technology for Smart and Traceable Quality Control

In the era of Industry X.0, defect prediction and product quality management have become critical issues for optimizing costs, reducing waste, and improving the efficiency of production chains. Integrating advanced technologies such as artificial intelligence (AI), Distributed ledger technologies (DLT), and the Internet of Things (IoT) offers a unique opportunity to transform these processes, enabling real-time monitoring, proactive decision-making, and full traceability. Agentic AI is a breakthrough in artificial intelligence where autonomous agents become the key players in intelligent systems. These agents, empowered with the ability to perceive their environment, make informed decisions and act independently, are pushing back the limits of traditional automation and traditional AI systems, which are often centralised and reactive. This paper proposes an innovative architecture that combines agentic AI, Hashgraph DLT, and IoT to quality control in production time and ensure optimal product quality management in the context of a smart factory. By exploiting the power of intelligent agents for data analysis and prediction, in addition of Hashgraph for information security and transparency, this solution aims to improve industrial performance by reducing the risks and costs associated with production defects. A scalable and adaptable approach that opens the way to a new era in industrial quality management. Keywords Industry X.0, Agentic AI, Hashgraph, IoT, Quality control