Selective. Paid advisory engagement
AI Cost and Margin Audit
Founder-Level Unit Economics Review
You will leave knowing whether your AI feature makes money at scale, and what to change if it does not.
A focused review of unit economics, scaling risk, and the highest-impact cost and margin levers.
Designed for teams spending $10K+/month on AI, or planning to within 90 days.
Built by the team behind Quaneuron — production AI cost observability for engineering and finance.
What’s Included
- Pre-review of your inputs before we meet
- 60-minute working session (operator-level, not a pitch call)
- Stress test your economics at 2×, 5×, and 10× scale
- Cost + margin risk map (what breaks first, and why)
- Prioritized action plan with highest-impact levers
Who this is for
- Teams shipping an AI feature into production or scaling it now
- Spending $10K+/month on AI, or planning to within ~90 days
- You want a clear answer: “Does this make money at scale?”
Not a fit for
- General AI strategy, model selection, or brainstorming
- Idea-stage projects with no usage, pricing, or cost signals yet
- Teams unwilling to share rough spend + usage assumptions
What you’ll share
- Approx usage volume and request shape (MAU or requests/month)
- Model/provider mix and any routing (if you have it)
- Current spend, pricing/ARPU assumptions, and target margin goals
- Your biggest unknown you want resolved in this audit
No source code required. No production data required.
What you get
- Baseline unit economics + breakpoints at 2×/5×/10×
- Top levers ranked by impact and effort (what to do next)
- A plan you can hand to engineering and finance
Timeline
- We review your request and confirm fit
- If it’s a fit, we send a scoped quote before scheduling
- After the session, we send a short written recap and action plan
Request a Quote for an AI Cost and Margin Audit
This is a selective advisory engagement. If it is a fit, we confirm scope and send a quote before scheduling.