White Label AI Receptionist: What Agencies Resell, What It Costs, and What to Charge in 2026
Yes. A white label AI receptionist is a 24/7 phone-answering AI that agencies license or build, rebrand, and resell to local and service clients. It answers calls, qualifies callers, books appointments, and logs everything to a CRM, all under the agency's name. Platform costs run $0.06–$0.17 per minute; agencies typically charge clients $250–$1,500 a month.
What a white label AI receptionist does for a client
A white label AI receptionist answers every inbound call, asks the questions a front-desk person would ask, and takes action on the answer: book the slot, route the call, or log the intake. The client sees a phone number that answers instantly, day or night, in their business's name.
Under the hood, four things happen on every call: the AI answers and greets the caller as the business, it qualifies or triages based on what the caller needs, it books directly into the client's calendar or routes to a human queue, and it transcribes the call and pushes notes to the CRM. None of that requires the client to touch a vendor dashboard that isn't yours.
| What the client sees | What the agency (or its partner) runs |
|---|---|
| A branded number answering with the business name, 24/7 | The voice model, speech-to-text/text-to-speech stack, and call orchestration |
| A calendar that fills itself from qualified calls | Call-flow scripting, booking logic, and CRM field mapping |
| A weekly report: calls answered, booked, missed-call recovery rate | Telephony uptime, failover, and platform billing |
| An agent that introduces itself by name on every call | Compliance: disclosure scripting, consent language, call-recording rules |
This is the same delivery split as our guide to white-label AI voice agents: the agency owns the client and the price, the technical partner owns the infrastructure. A receptionist is the narrowest, highest-intent slice of that category — inbound call answering, specifically, rather than outbound campaigns or multichannel support.
Who actually buys an AI receptionist
Four verticals convert into signed deals faster than any others, because a missed call has an obvious dollar cost attached.
| Use case | Buyer | Outcome they're paying for |
|---|---|---|
| After-hours call answering | Home services (HVAC, plumbing, roofing) | Every burst-pipe call at 9pm gets answered and booked instead of going to a competitor |
| Appointment booking | Clinics and dental practices | No-show and missed-call rate drops; front desk stops fielding routine booking calls |
| Intake triage | Legal (personal injury, family law) | After-hours callers get logged and qualified instead of hanging up and calling the next firm |
| Lead qualification | Real estate | Inbound inquiries get scored and routed before an agent spends time on a cold lead |
| Reservation and FAQ handling | Hospitality (restaurants, short-term rentals) | Reservation calls get taken without pulling staff off the floor |
The pitch that closes these deals is consistent: show the prospect a call they missed last week, demo the receptionist calling their own number live, and put a dollar figure on the miss. That's the same framework covered in our AI customer support guide, applied to the phone channel specifically.
The platforms agencies resell white-label receptionists on
Eight platforms come up in agency research for this specifically. Pricing below is each vendor's published figure, checked September 2026.
| Platform | White-label entry price | Usage cost | What you get |
|---|---|---|---|
| Synthflow | ~$2,000/mo White-Label and Reseller Toolkit add-on | ~$0.12/min effective | Custom domain, sub-accounts, SOC 2/HIPAA/GDPR; retired its fixed agency tiers in 2026 |
| Trillet | $299/mo Agency (unlimited sub-accounts) | ~$0.12/min | Native white-label, outbound campaigns, HIPAA/SOC 2/GDPR/TCPA built in |
| Autocalls.ai | $419/mo White Label (3,500 min included) | $0.09/min overage, all-inclusive | Custom domain, Stripe rebilling, unlimited sub-accounts, phone + WhatsApp + web chat |
| Insighto.ai | $299/mo Agency Starter (10 sub-accounts); $499/mo Pro (50) | ~$0.06/min | Branded dashboard, unified voice/chat credits; budget entry point |
| Stammer.ai | $197/mo Agency | From $0.11/min | Unlimited sub-accounts, one voice agent included, chat and voice in one dashboard |
| GoHighLevel Voice AI | $97/mo per sub-account (AI Employee unlimited plan) | Blended ~$0.163/min pay-as-you-go | Component pricing since a May 2026 rewrite: engine + TTS tier + telephony priced separately |
| Retell AI | No platform fee, usage-only | $0.055–$0.07/min base; $0.13–$0.31/min all-in | Developer-first infrastructure; no built-in reseller portal, needs a front end |
| Vapi | $0.05/min platform fee | $0.13–$0.31/min all-in with STT/LLM/TTS | Same category as Retell: bring-your-own front end or third-party wrapper |
The practical split hasn't changed since our white-label AI voice agents guide: Synthflow, Trillet, Autocalls.ai, Insighto.ai, and Stammer.ai are built for agencies to resell out of the box. Retell and Vapi are developer infrastructure — cheaper on paper, but you're either writing the front end yourself or adding a wrapper vendor and a second invoice.
The per-minute cost stack, explained
Nobody pays one number per minute. Every call runs through five to six billed components, and vendors quote whichever one makes their price look lowest.
Platform fee. The reseller layer: sub-accounts, branding, dashboards. Ranges from $0 (usage-only, like Retell) to $2,000/mo (Synthflow's toolkit).
Speech-to-text (STT). Converts the caller's voice to text. Usually $0.01–$0.03/min, bundled into "all-inclusive" platforms like Autocalls.ai and broken out separately on developer stacks.
LLM. The model that decides what to say next. Cost scales with model choice — a smaller model is cheaper and slightly less capable on complex intake.
Text-to-speech (TTS). Converts the response back to voice. This is where cost swings hardest: GoHighLevel's own numbers show standard TTS at $0.015/min against ElevenLabs V3 at $0.215/min for the same call.
Telephony. The actual phone line. Roughly $0.01–$0.02/min inbound, slightly more outbound.
Transfers. Routing a call to a human queue typically adds a per-transfer or per-minute surcharge on top, separate from the base rate.
Add it up and a "$0.05/min platform" call typically lands at $0.13–$0.31/min once every component is included — the range Retell and Vapi both land in once STT, LLM, TTS, and telephony are stacked on their base fee. Model the full stack before quoting a client margin, not just the headline platform rate.
What to charge, and the margin
Client pricing for AI receptionist services follows the same three tiers as the broader voice-agent category, because the buyer doesn't distinguish "receptionist" from "voice agent" — they're paying for calls answered.
| Tier | What's included | Client price/mo | Wholesale cost | Gross margin |
|---|---|---|---|---|
| Starter | Inbound answering, 1 number, basic FAQ and booking | $250–$400 | $50–$120 | 65–80% |
| Growth | Full booking + qualification, CRM sync, call analytics | $400–$800 | $100–$250 | 65–80% |
| Premium | Multi-location, outbound follow-up, dedicated support | $800–$1,500+ | $200–$450 | 65–80% |
On top of the retainer, most agencies layer a $1,000–$2,500 onboarding fee for call-flow design and CRM integration, plus optional per-minute overage or per-booking add-ons once a client exceeds the plan's included volume. Margin holds because the platform fee is largely fixed while usage cost scales slowly against price — the full breakdown by service line, including how receptionist pricing compares against other AI offers, is in our AI services pricing benchmark.
Compliance that has to be built in, not bolted on
Skipping this is the single most common way agencies get a client in legal trouble. Build disclosure into the call script from day one.
California SB 1001. In effect since 2019. Makes it unlawful to use a bot to communicate with California residents with intent to mislead them about its artificial identity, for marketing or political communication.
Texas SB 140. Effective since September 2024. Requires AI voice disclosure within the first 30 seconds of a call and bans cloning an identifiable person's voice without consent.
TCPA. The FCC classifies AI-generated voices as "artificial or prerecorded," which triggers robocall-level consent requirements for outbound calls, and has ruled AI voices in unsolicited robocalls illegal outright.
EU AI Act, Article 50. Took effect August 2, 2026. Any AI system that interacts directly with people — including voice receptionists — must disclose that fact clearly, at first interaction, unless it's already obvious. Penalties run up to €15 million or 3% of global turnover.
Call-recording consent. Twelve US states, including California, Florida, Illinois, and Pennsylvania, require all-party consent to record a call. For interstate calls, the stricter state's law applies. A Chicago company settled for $4.2 million in April 2026 over unconsented AI call recording — an average of $840 per call.
A compliant pattern: one clear disclosure line at the start of every call, consent language matched to the strictest jurisdiction the client operates in, and recording/retention rules set before launch, not after a complaint.
Where AI receptionists still fail
Set this expectation with the client before the pilot, not after a bad call. AI receptionists in 2026 handle the predictable 70–80% of call volume well and still stumble on the rest.
Accents and dialects. Regional accents and non-native speech patterns still cause misrecognition on weaker STT stacks.
Interruptions. A caller talking over the AI mid-sentence exposes weak barge-in handling — the system garbles both streams or goes silent.
Background noise. Job sites, cars, and retail floors degrade recognition, which hits home-services callers constantly.
Complex intake. Multi-step legal or medical intake with branching questions is where scripted flows break; keep these calls short and routed to a human for anything nonstandard.
Confident wrong answers. An agent stating the wrong price or hours with total confidence is worse than one that says "let me check and call you back." Test for this explicitly in the pilot.
Route anything emotional, ambiguous, or high-stakes to a human immediately, with the handoff built into the call flow rather than improvised.
Resell a platform, or build a custom receptionist
Licensing one of the platforms above gets a client live in days to two weeks and costs $0–$2,000/mo plus usage. It's the right call while you're validating the offer or running under roughly 10 AI clients. A custom build costs more upfront and takes longer to launch, but you own the code, the client sub-accounts don't carry a per-seat tax, and a pricing change at the vendor never reprices your whole book at once. The same decision framework, in more depth, is in our white label AI platform guide.
How a custom build works
We scope the call flows, the CRM and calendar integrations, and the compliance script in week one, then build and test the agent through week two to four. Most agencies have a first client live within 2–4 weeks on a single receptionist line; a multi-location or multi-service deployment runs longer. You get the code, the prompts, and the documentation at handover, and we stay on for delivery if you want us to.
Frequently asked questions
How much does a white label AI receptionist cost?
Platform fees for agencies run $0–$2,000 a month depending on the vendor, plus usage of $0.06–$0.17 per minute once speech-to-text, the LLM, text-to-speech, and telephony are included. Agencies typically charge clients $250–$1,500 a month per client, plus a $1,000–$2,500 onboarding fee.
Can an AI receptionist book appointments?
Yes. Booking directly into the client's calendar is the core feature of nearly every white-label receptionist platform, including Synthflow, Trillet, Autocalls.ai, Insighto.ai, and Stammer.ai. The AI checks availability and confirms the slot during the call, without a human involved.
Do I have to tell callers it's AI?
In most cases, yes. Texas requires disclosure within the first 30 seconds of a call, California's SB 1001 bans misleading callers about a bot's identity, and the EU AI Act requires clear disclosure at first interaction for any AI system used in the EU. Build the disclosure line into the call script from the start.
What's the difference between an AI receptionist and an AI voice agent?
An AI receptionist is a specific use case within the broader AI voice agent category: inbound call answering, booking, and routing. "Voice agent" also covers outbound calling, lead qualification campaigns, and multichannel triage — the full breakdown is in our white-label AI voice agents guide.
Which platforms let agencies resell an AI receptionist under their own brand?
Synthflow, Trillet, Autocalls.ai, Insighto.ai, and Stammer.ai ship agency-ready white-labeling: custom domains, branded dashboards, and client sub-accounts. Retell AI and Vapi are developer infrastructure and need a custom front end or third-party wrapper to resell.
How much can agencies charge for an AI receptionist service?
Most agencies price in three tiers: $250–$400/mo for basic inbound answering, $400–$800/mo for booking plus CRM sync, and $800–$1,500+/mo for multi-location or outbound-inclusive plans. Gross margins typically run 65–80% once wholesale platform and usage costs are covered.
Should an agency resell a platform or build a custom AI receptionist?
Resell a platform if you're validating the offer or running under roughly 10 AI clients — it's live in days and costs little upfront. Build custom once you have a proven offer, 10+ clients, or a need the platforms don't cover; it costs more to start but you own it, and a vendor's pricing change never reprices your whole client book at once.
Want a receptionist your clients never see the vendor behind?
Book a 30-minute working session. We'll scope the call flows your clients actually need, tell you honestly whether a licensed platform or a custom build is the right call right now, and if it's a build you'll leave with a written price range and a 2–4 week plan to first live client.