Your AI bill keeps climbing. Do you know who's driving it up?
AI Observly attributes every OpenAI, Anthropic, and Gemini call to a customer, a feature, and a plan — so you can see margin, not just spend.
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.
The fix
From “here's the invoice” to “here's the margin”
AI Observly sits between your LLM provider and your product, tagging every request with a customer_id, a feature, and a plan. Instead of one flat number at the end of the month, you get a live P&L for your AI spend — who costs you the most, what it costs to run each feature, and whether each pricing tier is actually profitable.
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.
Built for
Built for the people who have to answer
“why did the AI bill go up again?”
Who this is for
- Founders of B2B SaaS with AI features who need to know which customers, features, and plans are margin-negative before it shows up in the burn rate.
- Product managers deciding which AI feature to invest in next — and which one to quietly sunset.
- Anyone pricing an AI product who wants their tiers to actually cover the AI cost they create, instead of finding out at renewal.
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.
Pricing
Simple, founder-friendly pricing
Generous free tier to prove the value. One paid plan when you're ready to scale.
Free
Everything you need to get started.
- 10,000 AI events/month
- Up to 3 customers
- Up to 3 features
- 7-day data history
- Per-customer cost breakdown
- Cost & margin tracking
Pro
For founders who've validated the product and need the full margin picture.
- Unlimited AI events
- Unlimited customers & features
- 90-day data history
- Full cost & margin breakdown
- Per-plan profitability tracking
- Slack & email spend alerts
- Model comparison charts
- Priority email support
- 14-day money-back guarantee
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.
Trusted by early builders
Join 143+ founders already on the waitlist — and growing.
“Finally. I've been staring at my OpenAI bill every month wondering which customer is eating it. This is exactly what I needed.”
Sarah K.
Solo founder, AI writing tool
“I repriced my Pro plan within a week of seeing the real cost breakdown by tier. Already back in the black on AI.”
Marcus T.
Indie hacker, productivity SaaS
“Langfuse was overkill for what I needed. AI Observly took 10 minutes to set up and showed me which features were losing money.”
Priya R.
Founder, AI customer support tool
143+
Waitlist signups
3+
AI providers supported
< 10 min
Avg setup time