How an AI-Native Operating System is built

This paper describes a method for replacing a company's fragmented software stack with a single system designed around artificial intelligence, without interrupting the operation while it happens. It is written to be read once, in order, by someone deciding whether the work is worth doing. The subject is the company that has outgrown spreadsheets but never installed enterprise software: one shared data model, agents bounded to specific jobs, and an interface that behaves like an operating system rather than a set of tools.

• A single shared data model replaces the department-by-department tool sprawl.
• The method runs in six ordered layers, from data to autonomous operation.
• Agents are bounded to named jobs with explicit evaluation and failure handling.
• Migration happens alongside the running business, never as a hard cutover.
• Technical detail is separated so the argument stands without it.