AI Is Not Enough
Artificial intelligence excels at prediction, classification, and language understanding — yet enterprise AI deployments repeatedly fail to produce decisions that operations can actually execute. The reason is structural: AI does not enforce capacity limits, satisfy hard constraints, or coordinate decisions across time and resources.
AI Is Not Enough introduces Decision Intelligence — grounded in integer programming, linear programming, and combinatorial optimization — as the missing execution layer. The book's Keystone Method provides a six-step framework for connecting AI outputs to constrained, solver-verified decisions in any operational environment.
The Gap Is Real
AI ranks and forecasts — but does not guarantee constraint satisfaction or feasible execution.
Optimization Is the Fix
Decision Intelligence transforms AI signals into decisions operations can actually carry out.
A Repeatable Method
Twelve fully worked industry patterns serve as reusable blueprints for hybrid AI + DI systems.