IOC marks the shift from experimentation to real operations. AI systems are now in use by live teams, supporting real decisions, but with limited scope, coverage, or resilience.
This is the most fragile phase of AI adoption. Many initiatives fail here due to unclear ownership, insufficient enablement, or lack of governance.
Reaching IOC is an achievement — sustaining and expanding it requires deliberate execution discipline.
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 end-to-end operating system that governs how organizations discover, deploy, adopt, and scale AI.
A structured model that maps AI initiatives from experimentation to sustained operational impact.
A clear articulation of intent that aligns teams without prescribing tactics.
A continuous decision loop to observe, orient, decide, and act on AI performance in real operations.
A composite index that measures whether an AI initiative is ready to operate sustainably.
A centralized governance model that manages AI execution, risk, and value realization.
A structured network of internal champions that drive adoption inside the business.
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