This book maps the latest research on Agentic AI as a catalyst for innovation across sectors healthcare, energy, education, finance, public services, and more. Through comparative case studies and diverse analytical approaches, the papers show how autonomous, goal-directed AI systems reconfigure value creation, decision processes, and business models. This book is designed for scholars and postgraduate students, offering clear research agendas, replicable methods, and theory-led frameworks to investigate capability building, governance, and responsible scaling of Agentic AI. It also identifies high-potential frontiers human-in-the-loop innovation, data governance for autonomy, sustainable finance models, and impact evaluation to guide rigorous, opportunity-driven future research
