This course provides professionals with a rigorous, non-technical framework for designing and governing enterprise AI strategy in real organizational environments. It focuses on how organizations decide where AI belongs, how it should be adopted, and why many AI initiatives fail despite strong technology or vendor promises.

Participants learn to treat AI adoption as an organizational transformation problem rather than a tooling decision. The course emphasizes system-level thinking, examining AI maturity, incentive alignment, ownership, governance, and evaluation frameworks that determine whether AI creates durable value or quietly fails.

Rather than promoting blanket automation, the course builds disciplined mental models for decision-making around buy versus build versus partner tradeoffs, vendor dependency risks, readiness gaps, and human factors that shape adoption outcomes. The focus is on long-term operational reality, not short-term experimentation.