The landscape of corporate technology in 2026 is no longer defined by the simple adoption of artificial intelligence. Instead, it is defined by the ability to move beyond the experimental phase and into a state of sustained execution. While many organizations spent the early years of the decade in a cycle of perpetual prototyping, the current market climate demands clear, measurable outcomes and a demonstrable return on investment. The gap between ambition and results is where most enterprise AI initiatives fail. To bridge this divide, McLean Forrester developed the AI Value Path. This structured framework is designed to guide leadership teams through the complexities of integration while ensuring that every technical milestone translates directly into business value. The Problem of Perpetual Exploration By 2026, the novelty of generative models has faded. Boards and executives are no longer satisfied with proof of concept projects that show potential but fail to impact the bottom line.…