Use Case — Cost Control

See exactly where your LLM budget is going — before the invoice arrives.

LLM costs compound fast. One agent running GPT-4o at high volume can exceed a monthly budget in days. Zespan gives you attribution, forecasting, and AI recommendations in one place.

Start free →For FinOps teams and engineering leads managing LLM budgets

The problem

01

The cloud bill can't tell you who spent what

OpenAI invoices show spend by model, not by agent, feature, or user. You know GPT-4o is expensive — not which part of your product is calling it.

02

Cost spikes show up a month late

A new agent launched two weeks ago and has been hammering GPT-4o. You find out when the monthly invoice arrives.

03

You know it's high — not why

Total spend is too high but you don't know whether to switch models, compress prompts, add caching, or fix a runaway agent.

How Zespan helps

1

Your bill stops being one number and becomes an answerable question

Every dollar of LLM spend attributes to the agent, model, user, operation, or tool that generated it. 'GPT-4o is expensive' becomes 'this one agent is driving 60% of it' — the difference between knowing you have a cost problem and knowing which one.

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Zespan cost attribution view showing spend breakdown by agent and model with cost per call
2

A spike gets caught the day it happens, not the day the invoice arrives

Daily spend is tracked as a trend, and a day that deviates significantly from it is flagged automatically. A new agent that quietly starts hammering a model shows up as an anomaly within a day, not as a step-change you only notice a month later staring at a bill.

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Zespan cost explorer showing daily spend trend with anomaly detection markers
3

You see the budget breach before it happens, not after

Spend is projected 30 days forward from your actual trend, with a confidence band for best and worst case. If the line is heading toward a limit, that's visible with enough runway to act, instead of showing up as a surprise on next month's invoice.

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Zespan 30-day cost forecast with low/high confidence band and trend classification
4

The fix comes with a number attached, not just a diagnosis

Instead of "your costs are high," a specific, ranked suggestion: switch this agent to a cheaper model and save an estimated amount per month, or compress this prompt and cut its token count by a given percentage. You're deciding whether to make a change, not researching what change to make.

5

A cost spike pages your team instead of waiting for the invoice to page you

A spend threshold on a time window routes straight to Slack, so a runaway agent is a page during the incident, not a line item you notice reconciling the bill.

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See every agent decision, tool call, and handoff in production. Setup takes a few minutes.

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