Package
Name the value customers recognize.
Use an action, workflow, output, API call, token, credit, or hybrid unit instead of exposing raw provider economics by default.
Founding-user pilot · B2B SaaS teams
Turn one AI feature into a paid, controllable product.
For teams moving an AI feature from included beta to a real plan. Choose the value unit, connect customer usage, apply policy before expensive work, and produce trusted events for the billing stack you already use.
One customer-facing value unit
Allowance and limit policy
Usage visible before the invoice
Validated events for Stripe
The immediate problem
The feature works. The commercial system around it does not yet.
Your team can call the model, but pricing, customer allowances, heavy-user protection, usage explanations, and Stripe totals live in different places. The pilot turns one bounded feature into a working commercial loop before you generalize it.
Control
Make the plan affect product behavior.
Check allowance and policy before work begins, then block, downgrade, or continue according to the plan you configured.
Explain
Give customers the same usage truth.
Show current usage, remaining allowance, forecast context, and plan status before a limit or invoice becomes a surprise.
The pilot
Leave with a blueprint and one working meter.
We keep the first implementation deliberately narrow so the team can learn from real usage instead of designing a universal billing platform up front.
- 01
Choose one launched or near-launch AI feature and one customer segment.
- 02
Define the value unit, included allowance, limit behavior, and Stripe output.
- 03
Instrument one request or workflow path with customer attribution and retry safety.
- 04
Review the first usage record together and decide what should be generalized next.
Strong fit
This is worth a conversation if…
- ✓You have paying B2B customers or a paid AI launch planned in the next 60 days.
- ✓Each customer or tenant can be identified inside the product.
- ✓Variable AI or vendor cost is meaningful enough to influence packaging.
- ✓An engineering owner can instrument one real feature during the pilot.
Probably too early or the wrong tool
Wait if…
- ×There is no near-term pricing, allowance, or customer-usage decision.
- ×The AI workload is internal and has no customer-level policy requirement.
- ×You only need invoice generation or payment collection.
- ×A mature billing platform and dedicated billing team already solve the problem well.
Clear product boundary
UsageTap Meter controls usage. Your commerce system still owns the money movement.
The implemented product connects customer policy, usage events, forecasts, embedded visibility, and Stripe meter events. It does not replace subscriptions, invoices, tax, payment methods, or collections.
- UsageTap checks policy and records the customer usage lifecycle.
- Stripe or your commerce platform remains authoritative for invoices and payments.
- The pilot proves one path; it is not a promise to redesign every price and contract.
Make one AI feature commercially real.
Bring the feature, the customer, and the pricing question. We will help turn them into a small working system and learn from the result.