AI Margin Intelligence
Do You Know Which Customers Your AI Features Are Subsidizing?
You can see your total inference bill. You can't see which customers are profitable on AI. Billing shows what you charged; the LLM gateway shows what you spent; nothing joins the two at the customer level. Until something does, pricing is guesswork.
What We Find
Per-Customer AI Cost Attribution
Instrument your AI pipeline for per-request, per-user, per-feature cost tracking. Join inference cost data to billing data. Produce the per-customer AI P&L that nobody in your company has seen.
Per-Feature Margin Analysis
Which AI features are margin-positive? Which are bleeding money? Which usage patterns are anomalies vs. normal? Broken down by feature, customer segment, and usage tier.
Pricing Scenario Modelling
Model what happens to margin under 2–3 pricing restructures: credit-based billing, usage caps, model tier gating, or price adjustments. Specific projections, not vague directional guidance.
Ongoing Margin Monitoring
Margin dashboards and anomaly alerts so cost spikes get caught before the end of the quarter. Continuous visibility, not a one-time report.
What You Get
The tools to solve this already exist — LLM observability platforms for cost tracking, cloud unit economics tools for attribution. What a $20M SaaS doesn't have is a FinOps team to evaluate, select, implement, and join the data together at the customer level. That's what the diagnostic produces: the per-customer P&L, the anomaly flags, and the specific pricing scenarios with projected margin impact.
How to Start
Free 30-min Call
A look at what per-customer cost attribution looks like in a live AI system — the margin map most CTOs are missing.
AI Margin Diagnosis ($8K–$13K, 2–3 weeks)
AI Margin Intelligence Report: per-customer cost-to-serve, per-feature cost breakdown, usage pattern analysis, pricing simulation, anomaly flags. The number nobody in your company has today.
Build ($15K–$30K, 4–8 weeks)
Model routing implementation, billing integration, ongoing margin dashboards, anomaly alerts. The cost visibility layer built into your production pipeline.
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Ready to Talk AI?
30 minutes with a senior engineer. Honest take on your situation. No sales pitch.