AI Revenue-Leak Audit
An owner may suspect missed calls or slow follow-up without having a sourced baseline strong enough to support a revenue claim or implementation decision.
A resettable, sample-data capability demo. Not a standard sellable offer.
No real configuration, call, or account was created — this is a local browser simulation.
Step 1 of 3: Inbound volume
Event & audit trail
No events yet. Advance the scenario to generate one.
Acceptance-test references
- Sample and production records cannot mix
- Observed, estimated, assumed, and unknown inputs stay distinct
- Formula and source labels remain visible
- Unknown denominators never become zero
- Reset clears all in-memory report state
- No audit submission or D1 write occurs
Proof level: simulated. These are the tests this product must pass before it can unlock — not a claim that they have all passed yet.
Implementation dependencies
- authorized contact
- source provenance
- baseline definitions
- scenario assumptions
- privacy and data minimization
- source citation qa
Sample cost meter
This meter shows only the registry's unvalidated diagnostic price hypothesis. The scenario opportunity is SAMPLE data and is never proof, a quote, or guaranteed value.
| Pricing model | fixed diagnostic creditable to implementation |
|---|---|
| Minimum | $500 |
| Maximum | $1,500 |
| Free triage minutes | $20 |
| Validation state | unvalidated |
| Delivery hypothesis | 3 business days light; 5-10 business days evidence-backed |
| Current delivery constraint | analyst and source access |
These are capacity-dependent planning bands from the offer registry, not a customer quote. A real number comes only after discovery, once scope, build, QA, onboarding, support, and incident-reserve capacity are measured for your specific project.
Interested in this for your business?
This isn't a standalone purchase. It comes up after discovery, only when it's a relevant fit — tell us about your business and it will come up if it fits.
Tell us about your business