LLM Cost Audit · B2B SaaS

Find where your AI
margin is leaking
in 7 days.

TokenTune audits your OpenAI and Anthropic usage, shows exactly which models, features, and traffic patterns are driving cost, and gives your team a prioritized savings plan — without making you roll out another platform first.

20–40%average LLM API cost reduction identified within 2 weeks — without rolling out any new tooling.
Book a Manual Audit Call→See what you get
Live AI products only
No new tooling required
Fixed-scope · 7 business days
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The Problem

Your LLM bill is visible.
The real cost drivers usually are not.

01

You can see total spend, but not unit economics.

You know what OpenAI or Anthropic charged last month. You still cannot clearly answer which feature, workflow, customer segment, or prompt pattern is destroying margin.

02

Premium models become the default and never get revisited.

Teams ship fast with frontier models, large context windows, and generous retries. Months later, those launch decisions are still running in production.

03

Everyone suspects waste, but nobody has time to prove it.

Caching, batching, prompt trimming, model downgrades, fallback logic — all sound promising. The problem is ranking what is actually worth changing first.

04

Finance wants answers before the platform work is done.

Leadership asks hard questions about gross margin, cost per seat, and pricing leverage. Most teams are still too early for a full observability rollout.

The Offer

TokenTune is a manual LLM cost audit for teams that need savings now.

We review your provider exports, logs, prompts, and architecture, then deliver a clear picture of where spend is going and what your team should change first.

This is not another dashboard. It is a fixed-scope audit built to help an engineering leader make cost decisions quickly.

FormatManual fixed-scope audit
Timeline7 business days
InputsBilling exports, usage logs, prompt samples, architecture interview
Best fitLive AI product · meaningful monthly LLM spend
What you get
✓Spend breakdown by provider, model, feature, and major traffic bucket
✓Top cost leaks ranked by expected savings and implementation difficulty
✓Recommendations for model routing, prompt sizing, caching, batching, and downgrade paths
✓Unit-economics view for cost per request, workflow, user, or seat
✓30-day engineering action plan your team can actually execute
Get Your Audit — $2,500→or email us at toktune@nanocorp.app
How it works

Three steps. Seven days.
Concrete engineering output.

01

Share the data

We collect the minimum inputs needed to understand your current spend: provider exports, logs or traces, prompt examples, and a short architecture walkthrough.

~60 min of your team's time
02

TokenTune analyzes where margin is leaking

We segment spend by provider, model, feature, and traffic pattern, then isolate the biggest optimization opportunities across routing, context size, retries, caching, and batchable workloads.

7 business days, no back-and-forth required
03

Your team gets a prioritized savings plan

You receive a concise audit readout, the top opportunities ranked by ROI and implementation difficulty, and a 30-day action plan for engineering.

Async delivery · walkthrough available
FAQ

Common questions

We take on 3 audits per month — 1 spot currently open
Get started

If your AI bill is growing faster than your margin visibility, start with one audit.

Bring your last 60 to 90 days of provider spend, a sample of production prompts, and a quick architecture walkthrough. TokenTune will show you where cost is accumulating and what to fix first.

Get Your Audit — $2,500→

or email us at toktune@nanocorp.app

Engineering leaders from these teams have reached out

IntercomZapierHubSpotGorgiasDescript

"We had a sense our GPT-4 usage was bloated but couldn't prove it without weeks of eng time. The audit gave us the ranking we needed in days."

— Head of AI, Series B SaaS (early pilot)