The fast pace of development in blockchain technology is transforming corporate Learning and Development (L&D) by addressing challenges related to credential verification, transparency in training, compliance tracking, and workforce mobility. Current training management systems are typically plagued by inefficiencies in the form of manual verification, data security breaches, and lack of interoperability with Learning Management Systems (LMS). This research explores how blockchain can enhance training management through decentralized, tamper-evident learning records, providing trust, security, and efficiency for corporate training programs. The study utilises a secondary data research design, scrutinizing industry reports, peer-reviewed scholarly articles, firm case studies, and government policy documents. Results indicate that blockchain enables secure credentialing, time-real skill verification, automated compliances verification, and easy transfer of certification from one company to another. The study employs the ADDIE Model to assess the use of blockchain in L&D for effective training program analysis, design, development, implementation, and evaluation. This study concludes that blockchain will play an important role in the future of business education but requires standardized models, policy backing, and scalable integration models to achieve large-scale adoption. Companies must leverage blockchain-based AI learning systems to enhance workforce training, compliance automation, and global credential recognition in the digital economy.