Developers of agentic AI have been making some big claims. The promise has been of autonomous systems that can do everything, from booking our flights and keeping an eye on competitors in real time to handling entire procurement cycles , all without needing an actual human to hit “confirm.” And while the technology needed to achieve most of these marvels already largely exists, the infrastructure necessary to make it work reliably at scale still leaves much to be desired. Gartner recently projected that over 40% of agentic AI projects will be canceled before the end of 2027, citing  escalating costs, unclear business value , and inadequate risk controls. That’s pretty striking, especially in view of the expectation that  autonomous agents  would finally herald AI’s coming-of-age. And yet, this should not really surprise anyone who has seen the undeniable limitations these agents exhibit in the real world.…