AI cost optimization
The waste in your AI bill
is findable.
Model bills grow the way weeds do — every route was reasonable when it shipped, and nobody is assigned to re-decide. We price every route from your own usage exports, hunt the four waste patterns, and hand you findings with a number on each.
If we can’t identify at least 20% in recoverable AI spend, you pay half.
The audit guarantee — fixed scope, about ten days, read-only access.
Four patterns account for most of the waste.
Every audit hunts the same four — because they appear, in some mix, in almost every stack that grew faster than it was planned.
Frontier models on small jobs
Classifiers and extractors emitting a dozen output tokens from the most expensive model money buys. Right-sizing behind an eval gate cuts routes like these by 85–90% — the gate is what makes it a saving instead of a quality regression you discover in month three.
Uncached repeated prefixes
System instructions, tool definitions and examples re-sent at full price thousands of times a day. Providers discount cached input heavily — and one timestamp near the top of a prompt breaks caching for everything below it.
Bloated context
Whole documents and entire conversation histories stuffed into every turn, when retrieval and truncation hold quality at a fraction of the tokens — and usually improve latency while they’re at it.
Unbatched pipelines
Latency-tolerant volume paying real-time prices. Batch endpoints run at half price for traffic a human reads the next morning — moving it is often an afternoon of engineering.
And beneath all four: no budgets, no per-route keys, no anomaly alerts. That’s how a retry loop becomes a five-figure surprise invoice — worth $0 on the spreadsheet and more than everything else in tail risk.
What ten days buys.
Read-only access to your usage exports and dashboards — no SDK changes, nothing deployed. At the end, a plan your team can execute without us in the room.
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Reconcile
Usage exports normalized and priced route by route at current list prices, then reconciled against the actual invoice. If they don’t match, the data is incomplete — we stop and find out why.
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Hunt
The four patterns run against every route, plus the governance check underneath: budgets, keys, alerts and ownership.
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Cost
Each finding written up as evidence, fix and monthly number, graded by confidence — every figure reproducible from exports you already have.
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Decide
A findings review, then you choose: implement with us, hand it to your own team, or stop. No lock-in.
Savings decay. Infrastructure doesn’t.
A one-time cleanup drifts back within a few model releases. What keeps the number down is the layer that watches it — which is where the work goes after the audit, if you want it to.
After the audit
Two further rungs, each earned by the one before it. Or stop at the report — it stands alone.
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Gateway implementation inside your VPC
Routing, keys, budgets, tracing and failover — deployed in your infrastructure and owned by you. The controls that stop waste from returning as models ship and features launch.
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Managed cost ops ongoing
Re-optimization when providers reprice and new models land, anomaly alerts before the invoice surprises anyone, and a spend check for every new feature.
The method, run in public.
We published a full audit of a representative stack — so you can check the reasoning before anyone pays for it, or run the method yourself.
Ten days from exports to a costed plan.
If we can’t identify at least 20% in recoverable AI spend, you pay half.
Find waste in my AI billPrefer email? [email protected]