Redundant Inference

Redundant inference is the largest avoidable cost in most AI deployments and the least visible, because a provider invoice reports total consumption without distinguishing novel work from repetition. The economics are worth stating plainly: token pricing bills per request, so a supplier's revenue is a function of how often an enterprise asks rather than how much it needs to know. Those two quantities diverge enormously in practice. An organization with two hundred genuinely distinct policy questions may generate two hundred thousand enquiries a year, and under per-call pricing it pays as though it had two hundred thousand questions.

Because Centralpoint recognizes repeated questions semantically and serves governed answers from the local index, the return trip to the model happens once per distinct question rather than once per enquiry. Token/Fee Regulation suppresses the redundant charge, and the metering is buyer-side — the organization counts its own repetition rather than accepting a supplier's total.