How Balaay verifies its own claims
Every mechanism Balaay uses to keep its public claims true: the capability registry that fails the build on an overclaim, the connector status ladder, the benchmark, the proof registry, the claim gates, and a list of what Balaay currently cannot prove.
Most vendor sites ask you to trust them. This page describes the machinery that makes Balaay's claims checkable instead — a capability registry that fails the build when copy exceeds it, a connector status ladder that marketing cannot outrun, a published benchmark, a proof registry that currently holds nothing, and three claim gates that run inside the deploy. It also lists what Balaay cannot currently prove, because that list is the honest part of the answer.
Balaay is an AI voice receptionist for dental practices. It answers the practice’s phone calls, books the appointment and texts the patient a confirmation, and escalates urgent calls to staff using rules the practice defines.
Balaay currently has no customer evidence, and the site is built so it cannot pretend otherwise.
No paying practices, no pilots, no testimonials, no reviews. The proof registry holds 0 entries, and three gates inside the deploy pipeline block any page that states a customer fact without one. What Balaay does have is a verifiable product and a published benchmark — described below, with the limits of both.
The capability registry
Every capability is recorded as shipped, partial or not implemented, with the file that proves the status so a reviewer can check rather than trust. 13 are shipped; 5 are not, and the not-implemented list is enforced: the site build fails if any page asserts one, including in a paraphrase or a JSON-LD feature list.
Shipped
- Answers the practice’s inbound phone calls with a spoken conversation
- Captures the caller’s name, number and reason for calling
- Escalates urgent calls to staff using rules the practice defines
- Stops booking, moving and cancelling appointments once a call turns urgent
- Offers only appointment times that are genuinely open in Balaay’s schedule
- Re-validates the slot immediately before committing a booking
- A repeated booking request cannot create a duplicate appointment
- Looks up an existing patient and the appointments they already have
- Moves an existing appointment to a new time on the call
- Cancels an appointment, or hands it to staff when the practice’s policy requires that
- Records the appointment and confirms it with the patient
- Never tells a caller an action succeeded unless it can verify that it succeeded
- Keeps a record of every appointment action it took or refused
Not implemented — and therefore not claimed anywhere
- Does not read your Google Calendar. Balaay works from its own schedule, configured to your hours.
- Does not yet use your practice-management system as the source of truth. The connector is built and unverified.
- Does not write into the calendar your team already opens. Appointments live in Balaay until a connector ships.
- Does not create appointments in Dentrix, Eaglesoft or any other practice-management system.
- Does not check insurance eligibility. It answers from the plan list you configure and will not estimate coverage.
Connector status, and why marketing cannot outrun it
A practice-management system may only be described as integrated once a real practice’s real workflow has run against the live system. The runtime enforces the same rule the marketing does: integrations/registry.ts refuses to hand a connector below that bar to a live call, so a page cannot claim a capability the code would decline to perform.
| System | Status |
|---|---|
| Open Dental | In development |
| Dentrix | Not currently supported |
| Eaglesoft | Not currently supported |
| Curve Dental | Not currently supported |
| Denticon | Not currently supported |
What counts as proof here
Seven levels, each stating what a page may DO with evidence at that level rather than just naming it. Everything above level 5 requires a real customer, which is why none of it is in use.
| Level | Means | Permitted use |
|---|---|---|
| 1. Verified customer outcome | A real named practice, a quantified result, the system the number came from, a stated period and denominator, and written permission. | May be stated as fact with the practice named, alongside its methodology block. |
| 2. Named customer testimonial | A real identified customer, their own words, and written permission for the exact wording. | May be quoted verbatim, attributed, visually separated from measured data. |
| 3. Verified review | A review tied to a real customer on a platform that verifies identity. | May be linked. Never re-rendered as review schema on our own pages. |
| 4. Anonymised customer outcome | A real measured result from a real practice that permits the data but not the name. | May be stated with the practice described by type and size only, with methodology. |
| 5. Product operating metric | Aggregate Balaay telemetry across practices. Not attributable to any one practice outcome. | May be stated as a product metric, labelled as such. NEVER as a customer result. |
| 6. Demo or benchmark evidence | Observed behaviour of the product under test conditions. | May be stated as capability evidence. NEVER as evidence of customer value. |
| 7. Marketing claim | Nothing. | Not publishable as fact. Must be supported by a level above or removed. |
The claim gates
Three checks run inside the Docker image build, after the site is built and against the shipped files. A failure fails the image, so it cannot be deployed past — they were previously run by hand, which meant a fabricated claim could ship whenever nobody remembered to look.
- Capability and claim audit — roughly 22,400 checks across every rendered page, markdown mirror and JavaScript bundle. Blocks any assertion of an unimplemented capability, any unsourced statistic, and any customer claim with no registry entry.
- Proof-registry adversarial checks — 35 checks that attempt to publish fabrications, including every example the brief names: a combined customer count, a revenue figure derived from appointment volume, an accuracy percentage without a denominator, a revoked logo, and a case study containing a patient name.
- Contradiction audit — compares the same fact across all pages and bundles, because two pages that are each individually defensible and mutually incompatible leave a reader no way to know which is true.
Superiority claims are gated, not self-assessed
Balaay may not describe itself as best, #1, leading, market leader, most trusted or highest rated until every criterion below is met. Currently permitted: no.
| Requirement | Met | Why not |
|---|---|---|
| A DARB release at STANDARD gate or above in which Balaay leads the composite score, with competitors tested on comparable terms. | Not met | DARB 1.0 is a PILOT release and scores no vendor, including Balaay. |
| At least 10 paying practices with verified outcomes and published methodology. | Not met | Zero paying practices. |
| Support from at least one source Balaay does not control — an independent review platform with meaningful volume, or trade-press evaluation. | Not met | No independent reviews exist. |
| A sample large enough that the lead is not noise — see SAMPLE_GATES. | Not met | No sample. |
| The supporting data verified within the last 120 days. | Not met | No supporting data. |
Notably absent from that list: traffic, funding, feature count, and how good the product feels to us. A superiority claim needs a measurement someone outside the company could reproduce.
Sample thresholds
Set before any data existed, so they cannot be adjusted to fit a result.
- No percentage or rate may be published below 30 qualifying observations. 9 of 10 is not "90% reliability".
- A per-practice outcome needs a full month and 100 handled calls before it describes anything but a startup period.
- An aggregate across practices needs 5 or it is a handful of anecdotes with a mean.
- A reliability figure needs 100 attempts, and is always published as "n of N", never as a bare percentage.
Shared definitions
One definition per term, used in the product, the benchmark, the research and any future case study — with an audit check that fails if they drift apart. A figure that means one thing in a research table and another on a sales page is how a number quietly becomes a lie.
| Term | Definition |
|---|---|
| Verified appointment | An appointment that exists in the authoritative schedule after the call, whose details match what the caller was told, confirmed by reading the committed record back rather than by assuming the write succeeded. |
| Call handled | A call that connected and in which a conversation began. |
| After-hours call | A call arriving outside the practice’s configured opening hours, in the practice’s own timezone. |
| Staff handoff | An outcome where the system stopped attempting the task and passed it to a person, together with a structured record of who called, what they wanted and why it was handed over. |
| Safe refusal | The system declined an action or answer it could not perform or substantiate, said so in terms the caller could act on, and offered the route that does work. |
| False success | An assertion to the caller that an operational action occurred when it did not. |
| New-patient inquiry | A call from someone with no existing record at the practice who asked about becoming a patient. |
Full definitions → · Benchmark methodology → · Corrections log →
What Balaay cannot currently prove
The honest half of the answer. Each entry names what would close it.
- Practices save staff time
No baseline of front-desk callback hours exists, and no practice has been measured before and after.
Needed: Pre-launch time capture from 5 practices, then 30 days of comparison. - Balaay books appointments a practice would otherwise lose
Requires a pre-Balaay missed-call baseline. Nobody has one.
Needed: Carrier or phone-system call logs for the 30 days before launch. - Balaay produces revenue
No access to any practice’s posted production, and no defensible attribution rule applied to real data.
Needed: Read access with permission, plus the DIRECT attribution test on real bookings. - Patients are satisfied talking to Balaay
No patient has been surveyed. Practices have not been asked either.
Needed: A post-call question, with the practice’s consent, and a sample above 30. - Balaay is reliable in production
Reliability is measured in the benchmark under test conditions, not in production across practices.
Needed: 100 verified-appointment attempts in production; report as n of N. - Any customer count
There are no paying practices and no pilots. The only record in the system is the demo practice.
Needed: A first paying practice.
Corrections
Errors are logged with the original statement, the correction and the reason. The log is appended to, never rewritten — two of its three entries correct Balaay’s own earlier research rather than a competitor fact. If you find something wrong here, that is a defect rather than a position, and we want to know.
Related pages
- AI Dental Receptionist
- Pricing
- Missed Call Recovery
- Dental Answering Service
- Practice Management Blog
- Dental Receptionist Cost Calculator
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How Balaay verifies its own claims — Every mechanism Balaay uses to keep its public claims true: the capability registry that fails the build on an overclaim, the connector status ladder, the benchmark, the proof registry, the claim gates, and a list of what Balaay currently cannot prove. Balaay is an AI voice receptionist for dental practices that answers calls, books appointments, and escalates urgent calls to staff.
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