AI Cost Optimization & Observability
Lower your AI spend by up to 30% and know where every dollar goes.
Spendrim finds exactly where AI spend disappears, fixes it in 30 days, and keeps watching after we leave, so the savings stick.
Finance gets one invoice a month and nobody can tell them which feature wrote it.
The root cause is that AI spend arrives detached from what caused it. You can't downgrade a model you can't trace, or hold a team to a number nobody can attribute to them. Optimizations becomes a guess, and guesses don't survive contact with a real bill.
We are going to fix attribution first and the rest stops being mysterious.
Every ticket has a dollar figure. You just can't see it yet.
We tie AI spend back to the ticket that caused it, so cost review looks like your backlog, not a random finance spreadsheet.
Agent loop retries without backoff, burns tokens on every failure
trending up
GPT-4 used for FAQ classification instead of a small model
flagged
Enable prompt caching on the support-bot pipeline
flagged
Migrate doc-summarizer from GPT-4 to Claude Haiku
was $890/mo
Trim system prompt context on the onboarding flow
was $410/mo
Add per-feature spend attribution middleware
instrumentation
Then observability keeps running.
After the 30 days, your dashboard and alerts stay live. We can keep watching monthly, or hand it fully to your team.
AI Spend Reset: 30-Day Sprint
One engagement, done for you. We audit, we implement, we hand you a live dashboard, and we keep monitoring for a full month after.
Week 1
Audit & waste map
Full review of model usage, infra, and API spend
Waste map showing exactly where money leaks and where you could achieve the same with less.
Concrete savings estimate, in writing
Week 2 & 3
Implementation
All identified levers bundled and implemented
Model, routing, and infra changes shipped
Done-for-you, your team stays hands-off
Week 4
Handoff & monitoring
Live cost dashboard handed to your team
Short training session on how to read it
30-day monitoring starts for regressions
Hit the target, or the sprint is free.
We lock in what your AI costs today, then set a savings target against it. If the sprint doesn't hit it, you don't pay for the sprint.
A free audit, then a straight answer.
We are going to look at your usage and tell you honestly whether the sprint is worth it for you.
Free audit call
30 minutes. We look at your bills, model usage, and infrastructure, and give you a rough savings estimate on the spot.
Fixed-scope proposal
If it's worth doing, you get a fixed price for the 30-day sprint and a clear list of what changes.
We do the work
Your team stays focused on the product. We handle the audit, the changes, and the dashboard build.
Handoff and monitoring
You get a live dashboard, a short training session, and 30 days of us watching for regressions.
Questions
It's a fixed price, quoted after the free audit, tied to the size of your current spend and the number of levers we find. No hourly billing.
Then we tell you that directly and you walk away with a clear picture of your spend at no cost, no pressure to buy the sprint.
We need read access to usage and billing data, plus a way to ship configuration changes with your team's sign-off. We scope exact access during the proposal.
Your dashboard and alerts keep running. You can bring monitoring in-house, or keep us on a simple monthly retainer to keep watching.
Teams spending meaningfully on LLM APIs, inference infrastructure, or AI tooling who suspect, but can't yet prove, that some of it is waste.
Tell us about your AI spend.
Send a few details and we'll reply within one business day to schedule your free 30-minute audit call.
Prefer email?
contact@spendrim.com
Thanks, got it.
We'll reply at the email you gave us within one business day to schedule your audit.