A forensic breakdown — then a roadmap to cut the bill
Most teams see one number on their AI invoice and no idea what drives it. We trace spend to the feature, the call and the model — then hand you a prioritized, quantified plan to cut it without touching quality.
A single monthly total tells you nothing about which features pay for themselves and which quietly bleed budget. Without attribution, you can't optimize — you can only guess.
A complete, evidence-backed picture of your AI spend — and exactly what to do about it.
Every dollar mapped to a feature, endpoint and model — with the input/output/cache split that actually explains the bill. The map you've never had.
The handful of calls and prompts responsible for most of the cost, ranked so you fix the biggest leaks first.
Where you pay frontier prices for work a cheaper or cached model handles identically — flagged and quantified.
A prioritized list of changes, each with an estimated dollar impact and an effort rating — quick wins first.
What each successful result actually costs — optimization tied to value rather than raw token count.
A written report plus a live walkthrough with your team — yours to keep, act on, and re-run against later.
A focused engagement with a fixed scope — light on your team's time, heavy on evidence.
Instrument usage data and logs — read-only, scoped to what we need.
Map every token and dollar to a feature, endpoint and model.
Surface hotspots, model mismatches and cache opportunities.
Estimate the dollar saving and effort for each recommended fix.
Report plus a live readout — and an optional hand to implement.
Provider-agnostic — we audit whatever you're running, however it's wired together.
The audit runs on read-only access to usage data and logs — we don't touch production. Everything we find is confidential and the full report is yours to keep, share internally, and re-run against after the fixes land. If we can't find savings worth more than the audit, we'll tell you that too.
One fixed-scope engagement turns a mystery invoice into a map — and a prioritized plan to shrink it without losing a thing.