We are early in using AI in the decision cycle for signal/pattern recognition, understanding data/decisions in multiple contexts, assisting to select the decision models/algorithms, take appropriate actions within the guard rails of goals and constraints, and learning from the decision process to become better decision-makers over time. While there are inherent risks in allowing AI to do all this in an unsupervised manner is large now, having AI assist in decision management is the prudent and successful way today. The book nicely ties the theory of decision management with real-world examples where organizations can make traction today leading them into a better decision management process in the future. Hear James Taylor describes his book in his own words.