AI Factory

Companies have spent years investing in artificial intelligence, yet too many remain stuck in a cycle of promising pilots that never deliver at scale. The problem is rarely the model itself. It is the absence of a system built to turn fragmented data into reliable, decision-ready intelligence.

In AI Factory, enterprise AI pioneer Anand Mahurkar gives executives a practical blueprint for building that system. Drawing on more than fifteen years of experience and over 250 enterprise AI deployments, he introduces I-CUPP: Infrastructure, Collection, Unification, Processing, and Presentation. This five-layer framework shows leaders how to move beyond disconnected experiments and create a repeatable enterprise capability that produces intelligence continuously, reliably, and at scale.

Written for CEOs, CIOs, CTOs, Chief Data Officers, business-unit leaders, and other executives accountable for results, AI Factory translates complex technology decisions into an operational sequence leaders can understand and act on. Readers will learn why most AI initiatives stall; how to identify and unify the internal and external data that improves accuracy; how predictive, interpretive, and generative AI serve different business needs; how governance and domain expertise strengthen every layer; and how to deliver intelligence in forms people will trust and use.

Real-world deployment stories, executive takeaways, a readiness assessment, and a practical roadmap help leaders determine where their organization stands and what to build next. The result is not another AI project, but an intelligence production system that becomes more valuable with every use case.

AI Factory is for leaders ready to stop asking what AI might do someday and start building an enterprise capability that works now