One contained workload. A measured baseline. An exit figure your own team verifies offline.
A pilot proves the mechanism before it claims a dollar. The first phase makes your AI usage independently verifiable; the savings figure follows once the optimization measurement is in place. We would rather under-claim in week one and hand you a number you can recompute in week six than reverse that order.
One base-URL change routes a contained workload through the gateway. It counts what it carries and never reads content; a second privilege domain countersigns the record. Deliverable: a sealed statement your own auditor recomputes offline.
With a baseline pinned, the exit report carries a dual-rate savings statement — computed, disclosed by basis, and re-derivable by you. No figure is asserted that the record cannot reproduce.
One scoping detail worth settling early: whether the workload you have in mind is streaming or non-streaming determines how we stage phase one. Either works; it changes sequence, not outcome.
WHERE A PILOT SITSA working pilot is not a shipped platform, and we do not pretend otherwise. Each tier has a job:
One workload, inside your perimeter, proving the record and the recompute. Where every engagement begins.
Streaming workloads, savings measurement, and key management your security team signs off on. Funded by a pilot that earned it.
High availability, multi-entity federation, and the procurement artifacts (audit, SSO) that large deployments require.
Tell us enough to know whether this is a fit. We will reply with either a scoping call or an honest reason it is not the right time — there is a short list of cases where we would rather say no, and it is published on the briefing note.
Need to bring others along?
Download the one-page Decision Sheet (PDF) — everything your CFO, CISO, and procurement lead will ask, on one page: features, installation and removal, cost structure, and what TokenMark™ never does.
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