Ship AI features you know are worth building
Usage graphs tell you a feature is popular. AI Observly tells you what that popularity actually costs — and whether it's worth doubling down on.
The problem
What you're running into
Adoption without economics.
You can see a feature's usage climbing, but not what each use costs to serve — so you can't tell if growth is a win or a slow leak.
Roadmap calls run on opinion.
Without per-feature cost data, prioritisation conversations default to whoever argues loudest, not what the numbers say.
No line back to the customer.
When a feature's costs spike, it's hard to tell whether it's one heavy user, a whole segment, or a genuine usage pattern worth designing around.
How AI Observly helps
What changes when you have the data
Per-feature cost & margin.
See what each AI feature costs to run — broken down by customer and plan — so usage and cost live in the same view.
Cost-aware prioritisation.
Bring real cost-to-serve numbers into roadmap discussions, not just usage counts.
Customer-level context.
Trace a feature's cost back to the specific accounts driving it, so you know if it's a segment worth building for or an outlier to manage.
Bring cost data to your next roadmap review.
Start monitoring now