AI Margin Intelligence
Which Customers Are You Subsidising With AI Features They Don't Pay For?
Most CTOs can tell you their total monthly inference bill. Almost none can tell you which customer or pricing tier is generating AI revenue vs. absorbing AI cost. Your billing platform shows what you charged. Your LLM gateway shows what you spent on inference. Nobody connects the two at the customer level. Without that connection, pricing decisions are guesswork, your Series B investors will ask questions you can't answer, and the next product launch will repeat the same mistake.
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? We break it 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
We show you what per-customer cost attribution looks like in a live AI system — the margin map that 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.
Related Services
AI Feature Monetization
You’ve shipped AI features. Your billing hasn’t kept up. We instrument metering, wire entitlements, and close the revenue gap.
Learn more →
AI Security Readiness
Enterprise deals stall on AI security questions. We produce the security summary your prospects are asking for. Then harden what needs hardening.
Learn more →
Let’s Figure Out What Fits
Tell us where you are with AI. We’ll share honest feedback on what makes sense — and what doesn’t. 30 minutes, no pitch.