Use cases

14 real AI spend problems, and how Spendline solves each one.

Each page names the problem the way teams actually run into it, states plainly that Spendline does this, and shows how.

How to track AI cost per customer
The provider invoice is one number for your whole company. Here is how to split it by customer.
How to see margin after AI cost, per customer
Revenue per customer is in your billing system. AI cost per customer is in your provider invoice. Margin lives in neither, until you connect them.
How to prevent an AI agent from exceeding its budget
An agent loop can burn through a month of budget in an afternoon. The fix has to sit before the call, not after the invoice.
How to cap one AI agent's spend at a fixed amount per month
Example: stop one agent from spending more than $500 in a calendar month, without touching any other agent's budget.
How to set one hard spending cap across OpenAI and Anthropic together
OpenAI's own spend limits stop at OpenAI. If a team calls both OpenAI and Anthropic, a shared cap has to live somewhere that sees both.
How to track OpenAI and Anthropic spend by customer, across providers
Two provider invoices, one customer. The invoices will never add themselves up for you.
How to restrict which AI models one workflow can use
Not every model in your stack should be reachable from every workflow, and a redirect is not a refusal.
How to cap tokens per API call
One runaway prompt or an unbounded max_tokens setting can turn a cheap workflow into an expensive one.
How to reduce AI model costs without rewriting your application
The model your app calls today may not be the cheapest model that would still do the job.
How to get finance-grade records for AI spend
A logging table that gets edited when someone finds a mistake is not a record finance can sign off on.
How to reconcile AI spend against the provider invoice
Your ledger says one number. OpenAI's or Anthropic's invoice says another. Reconciliation is what explains the gap, not what hides it.
How to detect a runaway AI agent before it burns your budget
A budget cap stops the bleeding once it is hit. Detection is what can catch it earlier than that.
How to bill customers for their AI usage
Usage-based billing for AI features needs a real, attributed cost per customer as its input, not an estimate.
How to allocate AI cost to teams or cost centres
Finance wants AI spend broken out by cost centre the same way every other line item is. That requires tagging it at the source.