Know which customers and features are killing your AI margins, before they kill your business.
See real cost and margin per customer and per feature, then get clear pricing guidance to keep every plan profitable, no engineering required.
No data engineer required — one identifier per call is all it takes.
Total AI Cost
$0
this month
Total Revenue
$0
attributed
Net Margin
+$0
from AI features
Monthly AI Cost vs Revenue
Sound familiar?
The total bill was never the problem. The blind spot is.
Invoice up, MRR flat — no explanation
Your provider invoice goes up every month, faster than MRR — and the total number alone can't tell you why.
One customer costs more than they pay
One customer could be costing you more than they pay you, and you won't find out until months of margin have already leaked away.
Free-tier users eating your AI budget
Trial and low-tier users might be quietly eating a disproportionate share of your AI spend, with zero revenue to show for it.
You don't know which plan covers its AI cost
You don't actually know which pricing plan covers its own AI cost — and which one is subsidized by every other customer.
Some features are cash cows. Others lose money on every call.
Some of your AI features are probably cash cows. Others are losing money on every call. Right now, you can't tell which is which.
Total bill is one number. MRR is another. AI Observly is the bridge between them.
Setup in minutes
Three steps from raw invoice to real margin
No rebuild required. No data engineering stack. One identifier per call is all it takes.
Connect
Point AI Observly at your OpenAI, Anthropic, or Gemini usage. Attach a customer_id, feature tag, and plan to your existing calls — no rebuild required.
Attribute
Every request is automatically mapped to the customer, feature, and plan that generated it. No spreadsheets, no manual tagging after the fact.
Decide
Your dashboard surfaces cost, margin, and ROI at the customer, feature, and plan level — so pricing, roadmap, and account decisions are based on data, not a hunch.
Core features
Built for the questions your invoice can't answer
Every feature is designed around the cost and margin questions your provider dashboard was never built to answer.
Per-Customer Cost Attribution
Every API call gets mapped to the customer_id that triggered it. Instantly see your top spenders, find the small slice of users eating most of your bill, and catch a margin-negative account before it costs you a full quarter.
Per-Feature Margins & ROI
See exactly what each AI feature costs to run against what it earns you. Spot the feature that's a genuine cash cow, and the one that's technically 'used' but quietly losing money on every invocation — so you know what to double down on and what to re-scope or retire.
Plan & Pricing Profitability
Break down AI cost by pricing tier. See which plans generate enough revenue to cover the AI cost they create, and which ones are being subsidized by your other customers — so your next pricing change is based on actual unit economics, not a guess.
Trial & Free-Tier Cost Tracking
Isolate how much of your total AI spend is going to trial and free-tier users before they ever convert. Set usage guardrails with real numbers instead of finding out after the invoice lands.
Find Your AI Blind Spot Quiz
How well do you actually know your AI economics?
8 quick questions, each peeling back one more layer — from what you spend, to who's driving it, to whether you'd even notice if it changed. Answer honestly.
Built for
Built for the people who have to answer
“why did the AI bill go up again?”
SaaS Founders
Know which customers and plans are margin-negative before it shows up in your burn rate.
Product Managers
See per-feature AI cost and bring real unit economics into every roadmap call.
Customer Success
Catch usage spikes and margin problems before the renewal call, not during it.
Engineering
One fire-and-forget call gets you cost attribution — no proxy, no stored API keys.
Finance & Ops
Per-customer and per-plan cost data — the missing input for your unit economics model.
How we compare
Tools like Langfuse, Helicone, and Datadog are powerful — but they're built for engineering teams. We're the plain-English margin visibility tool for founders who need to know if their AI is making money.
Where we fit
The AI cost landscape has two axes.
We built for the corner nobody else did.
Every tool below answers a different question. Plotting them on two axes makes the gap obvious.
Observability & Debugging→Business Profitability & Pricing
Positioning reflects publicly documented target audiences, setup model, and feature scope as of August 2026 — a qualitative read of the market, not a scored benchmark.
FAQs
Frequently asked questions
Isn't this the same as the usage dashboard my provider already gives me?
Do I need to rebuild anything to set this up?
What LLM providers do you support?
Can this actually help with pricing, or just reporting?
Stop finding out about margin-negative customers three months late.
See your AI spend broken down by customer, feature, and plan — not just as one line on an invoice.