The AI Altitude Model (AAM) is a staged operating framework that helps organizations understand where they are in their AI adoption journey and what is required to safely progress from experimentation to full operational control and sustained value realization.
The AI Altitude Model reframes AI adoption as a progression of operating capability rather than a binary success state.
Each altitude reflects increasing levels of leadership intent, operating discipline, governance maturity, and accountability for outcomes. Moving up the model requires more than deploying tools—it requires changes to how decisions are made, how work is performed, and how value is measured.
The objective of the model is controlled ascent: enabling organizations to scale AI initiatives without introducing unmanaged operational, financial, or reputational risk.
A structured method for identifying and prioritizing AI opportunities tied to real value pools.
A clear articulation of intent that aligns teams without prescribing tactics.
A centralized governance model that manages AI execution, risk, and value realization.