As the digital revolution sweeps across the globe, artificial intelligence (AI) is reshaping industries with unprecedented depth and breadth. For years, standardization efforts have grappled with persistent challenges, including inefficient retrieval systems, time-consuming manual drafting processes, and limited practical application. Standardization professionals frequently face the daunting task of sifting through vast volumes of text to locate precise information, while manual drafting methods remain prone to errors. Furthermore, issues such as insufficient clarity during implementation have hindered the full realization of standardization’s potential, creating bottlenecks in value creation.