The primary goal of the practice is to create a B2B learning network that facilitates collaboration and seamless sharing of skills among colleagues, clients, and partners. The practice aims to provide every training tool, empowering blended, adaptive, and predictive learning through a data-driven, intelligent, and unified process, enabling professionals to learn more efficiently and effectively. The idea for this practice originated from the recognition that we are experiencing the biggest workplace change in history. With AI and automation that impact hundreds of millions of jobs in the next ten years, there will be a massive demand for upskilling and reskilling. Since its implementation, the practice has achieved significant outcomes by connecting professionals with experts who provide both theoretical and practical training through a user-friendly interface,designed for users with low computer literacy. A substantial amount of internal and external data were collected, which served as the foundation for a machine learning algorithm focused on predictive and adaptive learning. This allowed both employers and employees to upskill and reskill in alignment with the green and technological transitions. The practice contributes to long-term sustainability by making education accessible to all, providing both employees and employers with the necessary tools to upskill. Additionally, by addressing work-related injuries and fatalities—where 6,000 individuals die daily from incidents that could have been prevented with better competence, particularly in health, safety, and environmental measures—it enables professional training to be available to all towards achieving zero work incidents. Furthermore, it supports the reduction of travel and fosters awareness of global issues, such as climate change, by facilitating any type of training.