AI is rapidly becoming the interface to enterprise knowledge. But one of the largest sources of that knowledge is still largely disconnected: the physical world.
Industrial organizations already capture enormous amounts of reality data. The challenge is no longer capture itself, but turning that data into a trusted, continuously maintained enterprise resource that reflects what actually exists—not simply what was designed or documented.
This white paper introduces the Enterprise Reality Layer: an operational foundation that connects the physical world with engineering, operations, maintenance, simulation, and AI. It explores how organizations can move beyond project-based scans and static digital twins toward structured operational assets, continuous reality, and physical context that can be delivered wherever decisions are made.
For leaders shaping digital transformation and AI strategy, the question is becoming increasingly important: How can AI make reliable decisions about industrial operations if it doesn’t understand the physical world?
