We measure your AI spend against the levers you already have.
We measure your AI workloads against a library of known efficiency findings. Each finding is sized on your own traffic. You get a ranked plan your team can ship, with the quality risk and the check that catches it.
Where dashboards stop
Cost dashboards report totals. They cannot see that one request pattern is priced above what it should be. On one public production trace, the same caching feature came out 4.7× apart depending on which tier it was priced at. Finding that takes dedicated measurement. That measurement is the whole of what we do.
We work with engineering and finance leaders who run AI features in production. Your team knows the architecture. We apply the same rigour to what it costs. AI pricing mechanics are intricate, and they reward measurement more than any other line item.
What you get back is specific. Which requests cost what. What each change is worth on your traffic. The order to ship them in, with the quality risk each one carries and the check that catches a regression.
Your unit cost
What a successful request costs today, broken down by where the money goes.
The recoverable share
How much is genuinely reclaimable on your traffic, with the arithmetic shown.
A fix sequence
What to change first and what it is worth. What shipping will take your team.
Quality evidence
The quality risk each change carries and what to measure. Nobody guesses whether output held.
Configuration decides the return
The chart prices one caching feature on real production agent traffic, against both tiers the vendor sells. Reuse is measured from the traffic itself and priced at the published card.
w = 1.25 · reuse measured, TTL-bounded
w = 2.00 · same traffic, same feature
Same traffic, same feature, 4.7× the return, on configuration alone. Enabling caching says nothing about what it returns. The return lives in which boundary and which price tier. That is a measurement your team can act on within the week.
A library built to grow with every engagement
Every engagement runs against a library of efficiency findings. Each finding carries its root cause and its detection method. Where the waste is quantifiable, it also carries the formula that prices it in dollars.
Your traffic is scored against all of them. A finding that applies returns a dollar figure and a fix. A finding that does not is ruled out, with the evidence attached. A finding we could not measure says exactly that: it names the missing input and sizes at zero rather than guessing. Nothing rests on someone remembering a checklist.
The library compounds. Each engagement sharpens the detection methods, and anything new it surfaces becomes a finding. Your report is built from measurements taken on your own system.
Start with a cost baseline
Send us an export
Three files: a configuration export, a billing summary, and a sample of requests with sensitive content removed. We work from exports alone. No credentials, no access to your systems at any stage.
Your baseline comes back in days
You learn what a successful request costs and where the spend concentrates. Every number carries the measurement behind it.
The full audit sizes the fixes
It prices every finding on your traffic and ranks them by return. Your engineers get a sequence they can ship. The baseline fee is credited toward it.
Plans that scale with what you find
Four plans, from a first look at your workload through to continuous measurement. Fixed fees, agreed in writing before work begins. See plans and pricing.
What a finding arrives with
Every finding arrives with the measurement behind it and the dollar figure its published formula gives on your inputs. The fix is written so your engineers can implement and verify it. The baseline is agreed in writing before we start, so you can check the result against your own invoices.
Implementation support
The report is written so your team can ship the changes themselves. Where capacity is short, we implement alongside your engineers, scoped separately. The same before-and-after measurement confirms each change landed as sized.
What ongoing assurance covers
An audit is a snapshot. Assurance is scheduled re-measurement against your agreed baseline. It catches regressions when you deploy and drift when vendor prices change. Cost problems can run for months without failing a single test. Scheduled re-measurement closes that gap.
How we measure
Findings are derived from your traffic and priced against dated vendor cards. Each card is named in the report's provenance. No figure appears without one. Full methodology, worked derivations and reference studies are available on request.
Request reuse is measured from traffic structure and priced across cache tiers, batching windows and routing paths. A cache that is enabled but missing pays a premium over the base rate, so this family can be worth more than the spend it touches.
method Quality-held verificationEvery change ships with its named quality risk and the measurement that would catch a regression. Savings are never traded against product behaviour.
method How your data is handledExports only. An encrypted volume is created for each engagement before any file is accepted. Deletion follows a fixed schedule, with written confirmation. Built for procurement review.
securityFind out your number
The fastest route is the baseline. You send a small amount of data. You get a precise number back, and a clear route to the rest.
Send a configuration export and a sample of requests. We come back with your cost per successful request and where the spend concentrates. The report says what your workload supports in savings. See plans and pricing.