# OpenAI and Anthropic Bill Roast

If your OpenAI or Anthropic invoice suddenly looks like a second payroll line, the first question is not which model is cheapest. The first question is which workflows are burning premium tokens without enough business value.

Intelligence Per Watt reviews sanitized AI-provider usage numbers and returns a written bill roast: visible waste, likely causes, and the safest next cost controls.

## Best-Fit Situations

- A SaaS product has meaningful OpenAI or Claude spend in production.
- AI feature usage is scaling faster than revenue.
- Support, sales, document, coding, or research agents are expensive to run.
- A few customers or workflows may be driving most of the bill.
- The team wants a fixed-price outside read before buying another observability platform.

## What The Roast Looks For

- model-tier overuse
- prompt and context bloat
- repeated RAG payloads
- missing semantic or prefix cache boundaries
- retry and fallback loops
- expensive tool schemas
- unbatched background work
- eval and test-loop waste
- per-customer margin risk

## Fixed-Price Entry Points

- **$99 cost leak triage:** shortest useful written read on sanitized spend.
- **$299 24-hour bill roast:** deeper written review with ranked fixes and upgrade recommendation.

Start the intake:

https://www.intelligenceperwatt.com/roast-my-llm-bill

Review a sample:

https://www.intelligenceperwatt.com/sample-bill-roast.md

## What Not To Share

Do not send API keys, credentials, raw prompts, raw completions, customer data, private logs, or production write access. Use sanitized exports, aggregate usage, redacted screenshots, and approximate workflow counts.
