Scale me AI

AI Voice Agents · Dental · Legal · Salons · Contractors · Vet

AI receptionist, built and run for your business, not a platform you have to learn

An AI receptionist (also called an AI voice agent) answers every call in under 1.5 seconds, books into your calendar, and routes leads into your CRM. Scale me AI builds yours on best-in-class voice infrastructure, integrates it with the practice software you already use, and operates it for you. Most clients go live in 1 to 3 weeks.

Talk to our AI now →See pricing →
See what an AI receptionist could save your business →

AI Receptionist

Idle

Demo · Scale me AI's own AI receptionist

Why clients go live in 1 to 3 weeks

  • HIPAA-ready stack
  • 1 to 3 week deployment
  • Sub-1.5s response latency
  • Custom-built, not a SaaS template

Last reviewed by Paul Bendzik, Founder of Scale me AI · Operating AI voice agents since 2024

What it is

What is an AI voice agent (and how is it different from an AI receptionist)?

An AI voice agent is software that uses speech recognition, a large language model, and natural-voice synthesis to handle live phone calls end-to-end. In the SMB front-desk context it is more commonly called an AI receptionist. The two names point to the same system: a phone line that answers in under 1.5 seconds, qualifies the caller, books into your calendar, and escalates to a human when it should, around the clock.

Under the hood, every AI voice agent runs the same three-part architecture. We deploy it on Vapi, Retell, or Synthflow, layer in ElevenLabs or Cartesia for the voice, wire it to Twilio for telephony, and hand it the integrations (CRM, scheduling, practice software) it needs to do real work.

  1. 01

    The ears

    Speech-to-text (STT)

    Live audio from the caller streams through a transcription model (OpenAI Whisper, Deepgram, or the platform's native STT). Latency target is under 300 ms.

  2. 02

    The brain

    Large language model (LLM)

    GPT-4.1, Claude, or Gemini reads the transcript, decides what to say next, and calls tools (book an appointment, look up a record, escalate to a human).

  3. 03

    The mouth

    Text-to-speech (TTS)

    ElevenLabs or Cartesia renders the response in a natural voice. End-to-end response target is under 1.5 seconds, the threshold where a caller stops feeling the delay.

Not the same as an IVR. An IVR is a touch-tone menu ("press 1 for sales"). An AI voice agent has a conversation, makes decisions, and writes to your real business systems.

Every missed call is a lost booking

Service businesses typically lose between 30% and 60% of calls outside business hours. After-hours new-patient calls go to voicemail. At peak times, your receptionist has to choose: greet the front desk, or pick up the phone. Most of those callers never get called back. The next one googles a competitor.

Before Scale me AI

  • Voicemails nobody returns
  • Front desk drowning during peak hours
  • No qualification, every call routed to a human or lost

After Scale me AI

  • Every call answered in under 1.5 seconds, 24/7
  • Bookings appear in Cal.com, Dentrix, Vagaro, or Jobber
  • Leads qualified and routed; FAQ calls deflected without a human

Tell us your call volume and the top use case you want covered. We will scope it within 24 hours.

Capabilities

What an AI receptionist for small business actually does

Six things that ship in every build. Not a feature wishlist, a working agent.

1

Answers every call, 24/7

Sub-1.5-second pickup. A natural ElevenLabs or Cartesia voice. No hold times. No voicemails. Works nights, weekends, and holidays without overtime.

2

Books into your calendar

The agent reads live availability from Cal.com, Calendly, Acuity, Dentrix, Open Dental, Vagaro, ezyVet, or whatever you run. It confirms the booking out loud, sends an SMS, and drops the record into your CRM.

3

Qualifies leads before routing

Captures name, phone, intent, budget, job type. Hot leads get routed to a human within seconds. The rest land in HubSpot, GoHighLevel, Salesforce, Zoho, or Pipedrive (via Make or n8n) with the full transcript attached.

4

Handles FAQ calls so your staff doesn't

Hours, location, parking, pricing tiers, accepted insurance, service-area zip codes. Answered without a human handoff. In our typical builds, this resolves between 40% and 65% of inbound calls.

5

Runs outbound follow-up

Missed-call callbacks, appointment reminders, lead-revival outreach, post-visit feedback. The agent calls in your name, captures the response, and writes it back to your CRM. Consent-aware, disclosure-first, TCPA-respecting.

6

Transcripts, analytics, and routing rules you can audit

Every call ships with a transcript, a sentiment tag, and an intent label. Monthly performance report covers calls handled, booked, escalated, failed, and cost per call. No black box.

Industries

AI voice agents for your industry

We build for the verticals where missed calls cost the most. Each build runs on the practice software you already use.

DENTAL PRACTICES

AI receptionist for dental practices

A typical 4-chair dental office can miss 30% to 50% of calls before 8am and after 5pm, often more without after-hours coverage. Those are new-patient inquiries. The receptionist cannot answer the phone and check in patients at the same time. We integrate with Dentrix, Open Dental, Eaglesoft, and Denticon, and we sign a BAA before go-live.

AI receptionist for dental practices

LAW FIRMS

AI intake agent for law firms

Solo and small-firm intake happens after hours and on weekends. Lead-gen ads run 24/7 but the phone rings into voicemail at 9pm. We integrate with Clio and MyCase. The agent runs conflict-of-interest screening, completes the intake form, and books a calendar invite for a morning consultation.

AI intake agent for law firms

SALONS AND BEAUTY

AI receptionist for salons

Front desk overwhelmed during peak hours. Booking changes, color-service questions, and cancellations all show up at the worst possible time. We integrate with Vagaro, Boulevard, Fresha, and Mangomint. Reschedule flows, cancellation policies, and deposit collection via Stripe.

AI receptionist for salons

CONTRACTORS AND HOME SERVICES

AI voice agent for contractors

Estimators waste hours on tire-kickers. Emergency calls (flooded basement, broken AC) come in at 2am. Missed-call recovery is the difference between booking the job and losing it to the next contractor. We integrate with ServiceTitan, Jobber, and Housecall Pro. Job-type qualification, service-area filtering, emergency-vs-standard routing.

AI voice agent for contractors

VET CLINICS

AI receptionist for vet clinics

Pet emergencies do not keep business hours. Reception staff cannot answer the phone and triage in-person check-ins simultaneously. We integrate with ezyVet and Cornerstone. Triage scripts, urgency escalation, prescription-refill flows.

AI receptionist for vet clinics

We have shipped for dental, legal, salons, contractors, and vet. Yours is next.

Our process

How we build and run it

Four phases. No surprises, no hidden engineering work on your side.

  1. 1

    Day 0 to 3

    Discovery and scope

    30 to 45 minute call. We map call volume, top intents, your top 3 integrations, after-hours pattern, and the objections your customers raise today.

  2. 2

    Day 3 to 10

    Build and integrate

    Script and persona design, voice selection, CRM and scheduling wiring, escalation rules, payments and SMS confirmations.

  3. 3

    Day 10 to 14

    Test and soft launch

    We run between 50 and 200 synthetic test calls against your specific call flows before a single real customer hears the agent. Soft launch on one line.

  4. 4

    Ongoing

    Operate

    Daily transcript review for the first 30 days. Prompt tuning when failure patterns surface. Monthly performance report covering calls handled, booked, escalated, failed, and cost per call.

What we engineer against before launch

Most "AI receptionist" pitches stop at "human-like, accurate, 24/7." They skip the parts that actually break in production. Here is what fails on a generic build, and what we do about it.

Date and number parsing

"June 19" can become "June" without a confirm step. We saw this on a dental rollout last year, the agent dropped the day half the time. Fix: zero-argument tool calls. Validated dates, phone numbers, and addresses get stored at capture time and read back out loud before any booking API is called.

API failures

Booking APIs return 503s. Most agents say "your appointment is confirmed" anyway. Ours don't. Ours say "I'm having trouble booking that, can a team member call you back at this number?"

Emotional or emergency callers

Phrases like "emergency", "urgent", "chest pain", "flooded", or "speak to a human" trigger an immediate transfer within 2 seconds. We hardcode these per vertical.

Off-script questions

The agent answers from a curated knowledge base only. Anything outside scope hands off. It does not invent a confident-sounding wrong answer.

Discovery is 30 minutes. No prep needed. Just describe your call flow.

See the full 6-layer discovery process →

The AI voice agent platform stack

What we deploy under the hood

We do not build the voice platform. We build with it. Our work is the operator layer that decides which platform fits, designs the conversation flows that do not break, wires the integrations that actually work in production, and tunes the prompts after we hear the first hundred real calls.

Layer 1

The AI brain (voice platform + LLM)

The voice agent platform orchestrates the call; the LLM decides what to say. We pick the platform and model that match your compliance posture, your call volume, and the latency budget your callers expect.

Layer 2

The voice layer (STT + TTS)

Transcription on the way in, natural-voice synthesis on the way out. This is where caller experience lives or dies, so we pair the right voice model with the right transcription model for your accent profile and call mix.

Layer 3

The business-system layer

The agent has to actually do something. Telephony, scheduling, CRM, payments, internal comms, workflow glue. This layer is where we earn most of the engagement, because real wiring is what turns a demo into production.

Plus your practice management software

The bookings show up in Dentrix, Cal.com, or ServiceTitan. The leads show up in HubSpot or GoHighLevel. Nothing shows up in an "AI dashboard" you will never log into.

Dental practice software

  • Dentrix
  • Open Dental
  • Eaglesoft
  • Denticon

Legal practice software

  • Clio
  • MyCase
  • PracticePanther

Salon software

  • Vagaro
  • Boulevard
  • Fresha
  • Mangomint

Contractor software

  • ServiceTitan
  • Jobber
  • Housecall Pro

Vet practice software

  • ezyVet
  • Cornerstone

Medical / EHR

  • Athenahealth
  • Cerner-adjacent (via API)

By the numbers

[X]
clients
[Y]
calls handled / mo
[Z]
hours saved / week
[N]
leads booked / mo

Pricing

AI receptionist pricing, what to expect

Most AI voice agent vendors charge per minute and let you figure out the rest. We do not. Your monthly fee from Scale me AI is one number. Platform costs (Vapi, Retell, ElevenLabs, Twilio, LLM tokens) are bundled into your retainer, so you are never surprised when token usage spikes.

TierBest forBuild feeMonthly run
Starter1 location, up to 500 calls / mo, 1 to 2 integrations$1,500$400 to $600 / mo
Standard1 to 3 locations, up to 1,500 calls / mo, up to 4 integrations$2,500$700 to $1,200 / mo
CustomMulti-location, high call volume, custom PMS integrationsTalk to usCustom

For context: a part-time receptionist handling business-hours calls typically costs between $2,000 and $3,500 per month. Industry estimates put 24/7 human coverage at $8,000 to $15,000 per month. Your AI receptionist works 24/7 for the price in the table above.

Not sure which tier fits? We will scope your call volume and integrations on a 30-minute call.

Comparison

AI voice agent platform vs DIY build vs Scale me AI

There are three honest ways to get an AI voice agent running. Buy a SaaS subscription (Trillet at $49/mo, Synthflow $29 to $1,400/mo, Goodcall $79/mo) and configure a generic agent yourself. Hire an engineer to build directly on Vapi or Retell and live with the ongoing maintenance load. Hire an agency like Scale me AI to deploy and operate the agent end-to-end. Each path is the right answer for somebody. Here is how to know which one is yours.

 DIY platformVapi / Retell / SynthflowAnswering serviceSmith.ai / GoodcallPhone bundleRingCentralScale me AI
Build effort on youHigh, engineering workNoneMedium, configurationNone
Time to live1 to 4 weeks of your team's timeDays, generic promptsHours, generic prompts1 to 3 weeks, custom-built
Custom prompts and flowsYes (you write them)NoLimitedYes (we write them)
Integrates with your PMS / CRMYes (you wire it)LimitedCRMs onlyYes (we wire it)
Pricing modelPer-minute, hidden production costPer-call subscriptionPer-mo + overage minutesBuild fee + flat monthly retainer
Failure-mode engineeringYou do itGenericGenericWe do it
Ongoing operationYou do itVendor's generic opsVendor's generic opsWe do it

If you have an engineer who can ship Vapi or Retell flows in production, the DIY platforms are great. If a generic AI answering service for $95 per month works and you do not need integrations, Smith.ai works. If you are already on RingCentral and 100 minutes a month is enough, the bundle works. If you want a custom voice agent integrated with the tools you actually use, run by people who do this every day, that's us.

See pricing →

Compliance

AI voice agent compliance: HIPAA, FCC TCPA, CCPA, SOC 2

The compliance picture depends on three things. Do you record patient health information (HIPAA). Do you make AI-initiated outbound calls (FCC TCPA after the Feb 2024 AI-voice ruling). Do you handle California residents' data (CCPA). For most SMBs we ship for, two of those three apply.

Required for healthcare

HIPAA + signed BAA with the voice provider

Applies: When the agent records, transcribes, or stores patient call content (PHI)

Any third party that creates, receives, maintains, or transmits PHI on behalf of a covered entity is a Business Associate and needs a signed BAA. The voice provider becomes a Business Associate the moment a patient says their name on a call.

What we do

Vapi requires a $2,000/mo HIPAA add-on tier; Retell offers BAAs on its enterprise tier; Twilio offers BAAs at enterprise; Cal.com Organizations ($28/user/mo) includes HIPAA, SOC 2 Type II, and ISO 27001; ElevenLabs Enterprise tier signs BAAs. We pick the tier that fits the vertical, sign the BAA before go-live, and do not deploy a regulated practice on a non-compliant stack.

Required for outbound

FCC TCPA + the 2024 AI-voice declaratory ruling

Applies: When the agent makes AI-initiated outbound marketing or sales calls

In February 2024 the FCC issued a declaratory ruling classifying AI-generated voices as "artificial voice" under the Telephone Consumer Protection Act. AI-voice marketing calls now require prior express written consent. Civil penalty is up to $500 per violation, $1,500 if willful.

What we do

Almost no AI-receptionist competitor talks about this; it is the most-missed compliance hazard in the SMB AI-voice market. Scale me AI policy: we do not deploy AI cold-outreach campaigns without documented consent records, and the agent always introduces itself at the start of the call ("Hi, I'm the AI assistant for [practice name]"). That introduction is a TCPA safety measure, not a branding choice.

When CA residents are involved

CCPA + CPRA + call-transcript retention

Applies: When you serve California residents and meet one of the three CCPA thresholds

CCPA triggers at $25M annual revenue, OR 100,000+ California residents' personal information, OR 50%+ revenue from selling personal information. Call transcripts are personal information. Statutory damages reach up to $750 per incident under the private right of action for breaches.

What we do

Most SMBs sit below the thresholds, but transcript retention can quietly push a multi-location practice past the 100K-record line over 12 months. We set the retention policy with you on the discovery call (30, 60, or 90 days are the usual choices), document the opt-out path, and route deletion requests into your CRM workflow.

Table stakes on the stack

SOC 2 Type II + encryption + data ownership

Applies: Always

Every platform we deploy on has independent security certification. Retell is SOC 2 Type II certified; Cal.com Organizations is SOC 2 + ISO 27001; Twilio holds SOC 2, ISO 27001, and PCI; ElevenLabs holds SOC 2 and PCI; Vapi offers SOC 2 + HIPAA + PCI on its enterprise tier.

What we do

Recordings are encrypted in transit and at rest. PII is redacted from logs by default. You own every transcript, recording, and analytic; we sign a data-processing agreement that says so in writing. Call data is never used to train any model, ours or a third party's. If you leave Scale me AI, you walk out with the prompts, the knowledge base, the transcripts, and the integration wiring.

Operator note, not legal advice. The penalty figures and trigger thresholds above are pulled from public regulatory sources as of 2026-05-25. Talk to your attorney before relying on any of this for a specific deployment, especially for outbound TCPA exposure and for any healthcare practice.

Honest limits

Where AI voice agents fall short (and what we do about it)

Industry consensus across operators and platform vendors puts AI voice agents at 80 to 90 percent effectiveness on routine calls. The remaining 10 to 20 percent is why human-handoff paths exist, and why we measure failure modes separately from a blended accuracy score.

Emotional or high-stakes calls

Bereavement, urgent legal questions, a frustrated repeat caller. The voice agent recognizes the cue (phrasing, tone, certain keywords) and hands off to your team within 2 seconds. We hardcode the trigger list per vertical.

Questions outside the knowledge base

If the caller asks something the agent was not trained on, we tune the fallback to "let me have someone call you back in [X] minutes" instead of guessing. No invented prices, no invented hours, no invented policies.

Hallucinated answers on price, hours, or policy

The agent reads from your live source of truth (CRM, CMS, FAQ page) at call time, not from static training data. When the source is silent, the agent is silent too. Better to ask for a human than to invent confidence.

Latency on a weak cellular line

Sub-second response on a strong line drifts to 2 to 3 seconds on a weak one. We test against degraded-network conditions before soft launch and tune barge-in handling so the caller is not talking over the agent.

Voice cloning of the owner

We do not clone the practice owner's voice without their signed consent. We never present the AI as a human caller. The FCC's February 2024 declaratory ruling on AI-generated voices under TCPA makes that nondisclosure a real legal risk.

When an AI voice agent is the wrong fit

If you take fewer than 30 calls a month and you answer most of them yourself, the math does not work. If the bulk of your inquiries arrive over text or chat, an AI chatbot is the better channel. We will tell you so on the discovery call instead of selling you a build.

Related services

Voice agents work better with the rest of your stack

Voice + Workflow

Voice + Workflow Automation

The voice agent captures the call. Workflow automation routes the lead into HubSpot, sends the SMS confirmation, blocks the calendar, and pings your team in Slack, automatically.

Connect call data to your CRM workflows

Frequently asked questions

How much does an AI receptionist cost for a small business?

Two layers stack. The tooling layer (Vapi at $0.05 per minute, Retell at $0.07 to $0.31 per minute depending on stack, plus Twilio US outbound at $0.014 per minute and the voice and LLM credits) typically lands between $0.10 and $0.50 per minute when everything is added up. The agency layer is what Scale me AI charges: a one-time build fee of $1,500 to $2,500 and a flat monthly run of $400 to $1,200 depending on call volume and integrations. The monthly fee bundles all platform costs into one number, so you do not get a multi-vendor bill. For comparison, a part-time human receptionist working business hours only typically costs between $2,000 and $3,500 per month; industry estimates put 24/7 human coverage at $8,000 to $15,000 per month.

Is an AI receptionist worth it for a small business?

Honest answer: yes if you miss 20% or more of calls outside business hours, no if you take under 30 calls a month and the owner answers them all already. The math is most compelling in trades (HVAC, plumbing, dental, legal) where one missed call is worth $500 to $5,000 in lost revenue. Invoca estimates up to $1,200 of lost revenue per missed home-services call, and 85% of callers who reach voicemail do not call back. Break-even sits at roughly 200 minutes per month of agent talk-time when compared with a 0.25 FTE staffing alternative.

What is the difference between an AI voice agent and an AI receptionist?

Same system, different name. "AI voice agent" is the technical and industry term; "AI receptionist" is the SMB and front-desk term for the same software. Both describe a phone line that handles real conversations using speech-to-text, an LLM, and natural-voice synthesis. Outside the front-desk use case, "AI voice agent" can also refer to outbound sales agents or customer-support voice bots that do not look like receptionist work.

How do I make an AI receptionist for my business?

Three paths. (1) Buy a SaaS subscription: tools like Trillet ($49/mo), Synthflow ($29 to $1,400/mo), or Goodcall ($79/mo) ship a generic agent in minutes but with thin integrations. (2) Hire an engineer to build one on Vapi or Retell: full control, full custody, full ongoing maintenance is on you. (3) Hire an agency to deploy and operate it for you: Scale me AI ships this path in 1 to 3 weeks. Each path has trade-offs on setup time, integration depth, ongoing tuning, and compliance posture. We will tell you on the discovery call which path actually fits.

How long does it take to set up an AI receptionist?

1 to 3 weeks. Discovery and scoping take 1 to 3 days. Build and integration wiring take 7 to 10 days. We run between 50 and 200 synthetic test calls against your specific call flows before a single real customer hears the agent, then we soft launch on one line before going to full traffic.

What does an AI receptionist actually do?

It answers every inbound call 24/7 in under 1.5 seconds. It books appointments by reading live availability from your scheduling tool (Cal.com, Calendly, Dentrix, Vagaro, ezyVet, etc.). It qualifies leads by capturing name, phone, intent, budget, and job type. It handles FAQ calls (hours, location, pricing, services accepted). It runs outbound follow-up (reminders, missed-call callbacks). And it transfers to a human within 2 seconds when the caller asks for one.

What is the difference between an AI receptionist and an answering service?

Traditional answering services use human agents or generic AI scripts and do not integrate with your CRM or scheduling software. They take a message and email it. An AI receptionist built by Scale me AI uses a custom-trained voice agent integrated with your actual systems. Bookings land in your calendar, leads land in your CRM, and the cost stays flat instead of scaling per-call.

How is this different from RingCentral, Smith.ai, or Goodcall?

RingCentral is a phone-system bundle ($39 to $59 per month, plus $0.50 per minute over 100 included). Smith.ai's AI plan starts around $97.50 per month with generic prompts and no PMS integration. Goodcall is per-agent SaaS at $59 to $199 per month with capped unique callers. Scale me AI builds a custom agent on best-in-class infrastructure, integrates it with your specific tools (Dentrix, Clio, Vagaro, ServiceTitan, ezyVet, etc.), and operates it for you.

Can my callers tell they're talking to AI?

At the start of the call, yes, because Scale me AI's policy is that the AI introduces itself ("Hi, I'm the AI assistant for [practice name]"). Most callers stop noticing within 30 seconds; ElevenLabs and Cartesia voices pass naturalness checks at modern latency. Roughly 10% to 15% of callers will still want a human regardless of voice quality, and every agent we build routes them to your team within 2 seconds when they say "human", "operator", or "manager". The introduction is also a compliance safeguard: the FCC's Feb 2024 declaratory ruling makes presenting AI as human in marketing contexts a TCPA risk.

What if the AI books the wrong appointment or makes a mistake?

We engineer against the failure modes most builds skip. We use zero-argument tool calls: the agent stores validated dates, phone numbers, and addresses at capture time, then reads them back out loud for confirmation before any booking API is called. The agent cannot pass a hallucinated date to your calendar. When a booking API returns an error, the agent says "I'm having trouble booking that, can a team member call you back?" instead of falsely confirming.

Is it HIPAA compliant? What about patient data?

For dental, medical, vet, and mental-health practices, yes. The AI itself is not HIPAA-compliant; the deployment is. The voice provider that records, transcribes, or stores patient calls becomes a Business Associate and needs a signed BAA. Vapi requires a $2,000/mo HIPAA add-on tier, Retell signs BAAs at enterprise, Twilio signs BAAs at enterprise, Cal.com Organizations tier includes HIPAA at $28/user/mo, and ElevenLabs Enterprise signs BAAs. We pick the right tier for the vertical, sign the BAA before go-live, redact PII from logs by default, and encrypt recordings at rest. We never run a regulated vertical on a non-compliant stack.

Who owns the call recordings and transcripts?

You do. Every transcript, recording, and analytic is yours. We sign a data-processing agreement that says exactly that. Recordings are never used to train any model, ours or a third party's. If you ever leave Scale me AI, you walk away with everything: prompts, knowledge base, transcripts, integrations.

Can I try it before committing to a full engagement?

Yes. We offer a 30-day pilot on one phone line or one use case (after-hours, peak-hours overflow, or one specific intent like new-patient intake). If the numbers (calls captured, leads booked, hours saved) do not make the math work after 30 days, you do not sign a longer engagement. For a day-by-day breakdown of what those 30 days actually look like in production, see our deep-dive on the first 30 days of an AI voice-agent rollout: /blog/ai-voice-agent-first-30-days-smb

Ready to stop losing calls?

30-minute discovery call. We map your call flows, identify your top 3 use cases, and tell you exactly what we would build.