My Smile Miami recorded 93 bookings in its first month with a Benian voice agent. Hall’s Heating & Air recorded 23 booked jobs in its first month. Those are the published booking counts. Later call-log totals and client-reported time impact add context, but they have different measurement windows and should not be presented as one month of data.
This comparison uses the My Smile Miami case study and Hall’s Heating & Air case study. Their data snapshots are dated August 29, 2026. The article was updated on September 8 to clarify the evidence and its limits; that update does not extend the measurement period.
What the two businesses put in place
My Smile Miami is a dental practice in Miami. Benian deployed a bilingual voice agent on the practice’s number in September 2025. It handles routed calls, checks scheduling availability, books and reschedules appointments, collects insurance details and sends structured summaries to the office. Requests outside the agreed scope need a staff handoff.
Hall’s Heating & Air uses a voice agent for routed calls, including after-hours service requests. Its published case describes collecting the caller’s details and issue, checking urgency and booking service windows for dispatch. The two builds address different workflows; the results below do not establish which industry benefits more.
Month-one bookings and estimated value
| Measure | My Smile Miami | Hall’s Heating & Air |
|---|---|---|
| Bookings in month one (measured) | 93 bookings | 23 jobs |
| Estimated booked appointment value | Roughly $27,000, using the practice’s average appointment value | Not published |
For My Smile Miami, the value estimate is based on counted bookings and the practice’s average appointment value. It is not collected revenue, profit or proof that all 93 bookings were additional business. Cancellations, attendance, payments and what would have happened without the agent would be needed for those conclusions.
Hall’s case study does not publish a corresponding revenue figure. Applying the dental practice’s average value to HVAC jobs would not be a valid comparison. We also do not calculate booking rates by dividing month-one bookings by call totals from a later period.
Call coverage over the published windows
| Measure | My Smile Miami | Hall’s Heating & Air |
|---|---|---|
| Answered call volume | 3,402 calls over 12 months | Above 200 calls per month at the reported pace |
| After-hours work | More than 1,600 answered calls since launch | 80% of AI-handled calls in the published window |
| Pickup rate (historical observation) | 100% since launch in the published window | 100% through the reported seasonal peaks |
The dental total and the HVAC monthly pace are different measures, so they should not be used to claim one business had several times the other’s call volume. The after-hours figures also use different units: one is a count and the other a share of handled calls.
These records show work handled during the reported periods. A historical 100% pickup rate does not promise that every future call will be answered or establish unlimited simultaneous capacity. Phone-provider limits, configured capacity, routing and fallback behavior still belong in the deployment’s scope and tests.
Answered after-hours calls are not automatically recovered revenue. To estimate additional commercial value, a business needs a baseline, subsequent bookings and completed outcomes. The published figures do not provide a controlled comparison showing how many of these callers would otherwise have called back, booked another way or gone elsewhere.
Time impact reported by the clients
My Smile Miami’s office manager described a 45-minute wait for the voicemail system on Monday mornings before reviewing messages. The published client review says an email summary and call transcripts now arrive first thing in the morning. This is an account of a Monday workflow, not a measured saving repeated every day.
Hall’s owner reports two hours saved per day. The case study labels this client-reported; the figure is not measured from call logs. The two accounts should stay separate because they describe different tasks and timeframes.
Time released can be useful even when payroll does not fall. Describe it as staff or owner capacity unless a reduction in spending is documented. Neither of these accounts, by itself, establishes the financial return of the deployment.
How to compare coverage options for your business
The table below is an evaluation guide, not a record of alternatives these clients tested. Compare an AI proposal, staff coverage and an answering service using the actual scope and commercial terms each offers. There is no universal pickup percentage assigned to any option.
| Area | What to verify |
|---|---|
| Coverage and capacity | Operating hours, peak concurrent calls, queuing and overflow arrangements. |
| Booking and records | Access to your scheduling system, approved booking rules and handling of duplicate or failed writes. |
| Human handoff | Who receives complex or urgent matters, how context is transferred and what happens when that person is unavailable. |
| Language and quality | Representative calls in the required languages, with checks for incorrect answers and misunderstood requests. |
| Failure handling | Provider service terms, monitoring, alerts and a tested route for outages. |
| Full cost | Implementation, subscriptions, calling usage, staff coverage, review, maintenance and exception work. |
A useful pilot produces evidence you can review
Before launch, define which calls the system should handle, what counts as a correct booking and which matters require a person. Test real scheduling constraints, unavailable integrations, noisy audio and requests outside the approved scope. Direct booking can remove a manual step, but it does not eliminate the possibility of errors.
During the pilot, record eligible calls, answered calls, correct bookings, transfers, failed actions and rework over a defined window. Agree who reviews errors and when to pause or change the workflow. Review obligations and cadence should be specified for the project rather than assumed from a generic promise.
Compare the pilot with a representative baseline and allow enough time to observe attended appointments or completed jobs. Keep lead source, season and operating hours visible when interpreting a change. A result from one dental practice or HVAC company is a reason to investigate a similar problem, not a guaranteed appointment increase for another business.
Methodology and limits
Benian built these deployments and publishes the case summaries from its production records and client accounts. This is an operator-published comparison of two deployments, not an independent study or a representative industry sample. No caller or patient records are reproduced here.
Booking counts and call-log observations retain the measured basis and timeframes stated in the case studies. My Smile Miami’s booked appointment value is an estimate using the practice’s average value. Time-impact accounts are client-reported. Hall’s revenue, full deployment costs and the financial outcome of completed appointments are not published here; unknown figures are not treated as zero.
If you are evaluating a similar build, start with your own call logs and the AI project checklist and workbook. The Voice AI service explains the coverage, integration and handoff scope to discuss before committing to a pilot.