What do you mean by intellectual capital in an AI context?

The model is rented and available to competitors on identical terms. What differs is the accumulated encoding of how this organization does its work — how a borderline claim is adjudicated, which exceptions are tolerated, what must never be asserted. Articulating that is the expensive part of any deployment: months of subject-matter time converting tacit practice into explicit rules.

Centralpoint holds that capital as content: skills and prompts are records in the organization's SQL environment, version-controlled, audit-logged and scoped by audience, with named owners. 451 Research identified the arrangement as central to model independence — the logic is portable across any model precisely because it was never committed to one.