Enterprise AI Cost Report Generator

Generate a CFO-ready monthly LLM cost breakdown by team, model and use case.

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A CFO-ready LLM cost report in minutes

As AI usage spreads across teams, finance needs a clean answer to “where is the spend going?” This generator turns a flat list of usage rows — each tagged with a team, model, use case and cost — into a structured monthly report that rolls up spend three ways: by team / cost center, by model, and by use case, each with percentage shares and visual bars.

How it works

You add one row per spend bucket: which team incurred it, which model they called, the use case, and the cost in USD for the period. The tool then aggregates those rows independently along each dimension. A support team that appears in several rows (one per model or use case) is summed into a single team total, so you see both the big picture and the detail. A copy button exports the whole thing as plain text for an email or a slide.

Tips for a clean report

  • Tag at the source. The most reliable inputs come from API calls tagged with a team and use-case label, so your provider logs map straight to these rows.
  • Reconcile to the invoice. The report total should match your provider bill for the period. If it doesn’t, you have untagged spend to chase down.
  • Track month over month. Run it every period and watch which cost center’s share is rising fastest — that is where an optimization review pays off.
  • Pair with the allocator. If a team’s spend is one lump sum, use the per-feature cost allocator to split it before entering rows here.
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