Artificial Intelligence is increasingly called to act not just as a tool, but as strategic middleware, coordinating decisions across fragmented enterprise systems. While ERP platforms centralize data, they fail to govern coherence across time, departments, and structural constraints. This paper presents a forecasting and decision architecture in which AI becomes a real-time arbitrator of viability, based on signal logic rooted in option theory. Every choice is modeled as a governed engagement—constrained by cost, delay, reversibility, and exposure—forming a multidimensional signal known as the Brutman Option. Two operational indicators emerge: the Brutman Flexibility Index (BFI), measuring the remaining adaptability across viable paths, and the Maximum Rational Investment (MRI), setting the symbolic exposure ceiling compatible with coherence. Combined with real-time forecast testing, these elements form a reflexive governance system, enabling AI to arbitrate, adjust, or suspend action before incoherence propagates. This leads to a self-managed architecture where AI operates as an external brain, coordinating logic, time, intention, and structural viability.