What is an AI receptionist?
The plain-English definition, how the technology works, what it costs, and how to decide if it's right for your business.
An AI receptionist is a software system that answers, routes, and handles inbound phone calls for a business using conversational AI — no human operator required. Unlike a phone tree (IVR), an AI receptionist understands natural speech, responds conversationally, and can take action: booking appointments, collecting lead information, answering questions, and escalating complex calls to a human. It runs 24/7 on your existing phone number.
What an AI receptionist actually does.
When a customer calls your business, a traditional setup routes them through a phone tree ("press 1 for sales, press 2 for support") or sends them to a live receptionist. An AI receptionist is a third option: a voice agent powered by a large language model (LLM) that picks up the call, speaks with the caller in natural language, and handles the interaction end to end — without a menu, a hold queue, or a human in the loop unless you want one.
The agent answers in under two seconds, 24 hours a day, and handles whatever a caller says — not just the words you scripted. A dental patient who says "I need to move my Tuesday cleaning to next week, probably Thursday afternoon if you have anything open" gets a real answer: the agent checks availability and books it. A law firm's after-hours intake agent collects the caller's name, the matter type, and urgency, then texts the summary to the on-call attorney. A real estate agent's assistant qualifies the lead, captures the address, and adds the contact to the CRM — before the agent has returned the call.
The term covers a spectrum: self-serve platforms where you configure your own agent, templated services that give you a pre-built flow to fill in, and custom-built services (like WildRun) where a team builds and maintains the agent for you. Cost, capability, and integration depth vary dramatically across those three categories.
How AI voice agents work.
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Speech recognition converts the caller's voice to text in real time
A speech recognition model transcribes the audio as the caller speaks — handling accents, filler words, and interrupted sentences without breaking.
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A large language model interprets intent and decides what to do
The transcript is passed to an LLM that determines what the caller needs — book an appointment, get an answer, escalate to a human, or collect information — and selects the right action.
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The agent executes the action via your existing software integrations
It checks real-time calendar availability, looks up answers from the business knowledge base, or routes the call — using integrations configured at setup (Dentrix, Clio, Google Calendar, CRMs).
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A voice model converts the response back to natural-sounding speech
Modern text-to-speech models produce voices most callers can't distinguish from a human unless the agent discloses it — no robotic menus, no hold music.
How much does an AI receptionist cost?
Costs span a 50× range depending on the product tier. The table below covers the four main categories — compare total annual cost, not just the monthly sticker.
| Service type | Monthly cost | Setup cost | Minutes | Notes |
|---|---|---|---|---|
| DIY / self-serve AI tools | $20–$99/mo | None (self-configured) | Pay-per-minute (~$0.10–$0.30/min) | You write the prompts, configure integrations, and maintain it. Best for developers or very low call volume. |
| Templated AI receptionist service | $49–$299/mo | None–$500 | Per-minute fees common | Pre-built flows. Handles generic queries well; deep PMS or CRM integrations are limited. |
| Custom AI receptionist (e.g. WildRun) | $497–$1,997/mo | $1,500–$3,000 | Included (500–unlimited/mo) | Done-for-you build: custom script, integrations (Dentrix, Clio, etc.), voice tuning, ongoing monitoring. |
| Human answering service | $200–$800/mo | Minimal | Per-call or per-minute fees | Live agents but limited hours, agent turnover, and a per-call cost model that scales poorly. |
Ranges reflect typical market pricing as of 2026. Per-minute fees often add 50–100% to the headline monthly price at SMB call volumes. Full TCO comparison →
The break-even math is simple: divide the monthly cost by the average value of one new inbound caller. For a dental practice with a $2,500 new-patient LTV, a $997/month AI receptionist breaks even by recovering less than one new patient per month. At typical practice call volumes (200–600 calls/month), most operators break even within 2–4 weeks of launch. Calculate your own numbers →
Who benefits most from an AI receptionist.
Dental & medical clinics
High call volume (200–600/mo), after-hours demand, $1,500–$4,000 new-patient LTV, and HIPAA requirements. PMS booking (Dentrix, Eaglesoft) is table stakes. Dental & medical use case →
Law firms
Missed intake calls lose cases. AI reception handles after-hours triage, matter-type screening, and urgency routing — without exposing confidential details to a third-party call center. Legal use case →
Real estate agencies
Inbound lead qualification at listing-inquiry speed. The agent collects property interest, budget, and timeline before a human ever picks up — or books a showing directly. Real estate use case →
Home services (HVAC, plumbing, roofing)
Emergency calls happen at 2am. An AI receptionist dispatches the on-call tech, captures job details, and qualifies the urgency — so the right person gets woken up, not everyone. Home services use case →
Restaurants & hospitality
Reservation changes, party inquiries, and allergy questions handled without tying up the front-of-house. OpenTable and Resy integration for direct booking. Restaurant use case →
Agencies & white-label
AI voice agents rebranded for your clients. WildRun offers white-label builds so agencies can deliver AI reception as a service under their own brand. Agency program →
Five things to check before you buy.
1. Integration depth
Will the agent book into the software you actually use — Dentrix, Clio, Follow Up Boss, ServiceTitan — or only into Google Calendar? Generic integrations cover 80% of businesses; the other 20% need a custom build.
2. Minute pricing model
Per-minute fees ($0.10–$0.30/min) look cheap until you multiply them by a busy month. At 600 minutes, that's $60–$180 on top of the subscription. Flat-rate plans with included minutes are almost always better for SMBs.
3. Setup ownership
Self-serve services put the configuration burden on you. Estimate 10–20 hours of your time for initial setup, plus iteration time. Done-for-you builds cost more upfront but the setup fee covers that work.
4. HIPAA / compliance coverage
Healthcare and legal clients need a signed BAA and encrypted storage for call recordings. Ask explicitly — some providers offer HIPAA-compliant configurations; others don't offer a BAA at all.
5. Escalation behavior
What happens when the agent doesn't know the answer, or a caller gets frustrated? A well-configured agent escalates gracefully: call transfer with a summary, message-taking, or a callback offer. Test the edge cases before you buy.
When to pick a cheaper option
Under 50 calls/month, low per-call value, or a generic call flow that any template covers — a $79/month templated service is the right answer. See the full comparison →
Common questions about AI receptionists.
What is an AI receptionist?
An AI receptionist is a voice AI system that handles inbound phone calls for a business — answering questions, booking appointments, qualifying leads, and routing calls — without a human operator. It uses large language models to understand natural speech and respond conversationally, 24 hours a day. Unlike a phone tree or IVR, callers can speak naturally; the agent understands intent and adapts. WildRun AI receptionists are custom-built for specific businesses and integrate directly with scheduling systems, CRMs, and practice-management software.
How much does an AI receptionist cost?
AI receptionist costs range from $20/month for self-serve DIY tools to $499–$1,997/month for a done-for-you custom service. Templated services typically charge $49–$299/month plus per-minute fees ($0.10–$0.30/min) that can double the effective bill at high call volumes. Custom services like WildRun include a one-time setup fee ($1,500–$3,000) that covers the build — script, integrations, voice tuning — plus a flat monthly fee with minutes included. At 500+ calls per month, flat-rate custom services typically cost less than templated per-minute plans on a 12-month basis.
How is an AI receptionist different from a phone tree or IVR?
A phone tree (IVR) routes callers through rigid menus: "Press 1 for hours, press 2 for billing." Callers must match the menu options, and unexpected inputs fail. An AI receptionist understands natural language — a caller can say "I need to reschedule my appointment for next Tuesday" and the agent processes the intent, checks availability, and books the change. There are no menus, no dead ends, and no frustrated callers hanging up. AI receptionists also speak conversationally, can ask follow-up questions, and handle multi-turn conversations.
What can an AI receptionist do?
A modern AI receptionist can: answer any question you train it on (hours, pricing, directions, services, FAQs), book and reschedule appointments directly into your calendar or practice-management software, qualify inbound leads and collect contact information, screen for urgency and escalate emergency calls to a live person, take messages with full transcripts, send confirmation texts and emails after bookings, and make outbound calls for appointment reminders and follow-ups. The capabilities depend on the provider — templated services cover the basics; custom-built agents handle complex, business-specific workflows.
Do I need to change my phone number?
No. AI receptionists work with your existing business phone number. The provider routes calls through the AI agent using your current number — you don't need new hardware, a new number, or a new phone carrier. Most providers support standard landlines, VoIP, and mobile numbers.
Is an AI receptionist HIPAA-compliant?
It depends on the provider. Custom AI receptionists built for healthcare — dental, medical, therapy, optometry — can be made HIPAA-compliant: encrypted call recordings and transcripts, trained to handle PHI appropriately, and backed by a signed Business Associate Agreement (BAA). Generic or templated AI receptionist services may not offer a BAA. If you're in a regulated industry, HIPAA compliance and a BAA should be a non-negotiable in your evaluation criteria.
How long does it take to set up an AI receptionist?
Self-serve and templated services can be configured in a few hours to a few days, but the configuration burden falls on you. Custom AI receptionists typically take 5–10 business days from the initial discovery call to a live agent: 1–2 days for script architecture and voice selection, 2–3 days for integration setup and testing, 1–2 days for refinement and launch prep. Complex multi-location setups or integrations with niche software (Dentrix, Clio, ServiceTitan) may extend the timeline to 2–3 weeks.
Can an AI receptionist book appointments?
Yes — with the right integrations. AI receptionists can check real-time calendar availability and book appointments directly into Google Calendar, Outlook, or industry-specific software like Dentrix, Eaglesoft, Open Dental, Clio, Follow Up Boss, and OpenTable. The caller gets an SMS and email confirmation before the call ends. Generic AI services often support standard calendar tools; custom-built agents can integrate with niche scheduling systems most SMBs actually use.
What happens when the AI doesn't know the answer?
A well-configured AI receptionist handles knowledge gaps gracefully rather than guessing. Options include: transferring the call to a live team member with a full call summary, offering to take a message and have someone call back, or letting the caller know the team will follow up. Every knowledge gap is logged so the agent's knowledge base can be updated. The agent should never fabricate information — that's a configuration choice, not a technical limitation.
What industries use AI receptionists?
AI receptionists are most widely deployed in dental and medical clinics, law firms, real estate agencies, home services companies (HVAC, plumbing, roofing), restaurants, e-commerce brands, and other service businesses that receive regular inbound calls. Industries with high call volume, after-hours demand, or high per-call value (new patient, new client, new sale) see the fastest payback periods.