An AI receptionist is software that answers your business phone calls in a natural voice. It answers questions from your business information, collects caller details, and can book appointments or bring in a person under rules you set. Unlike voicemail, it holds a conversation instead of recording a message.

You’ll also see it called an AI phone receptionist, a virtual AI receptionist, an AI answering service, or an AI front desk when it answers chat and messages too. This guide explains how one works on a real call, what it can and can’t do, what it costs in 2026, and how to choose and set one up. Details about InsertChat’s AI receptionist are current as of October 13, 2026.

What does an AI receptionist do, in short?

An AI receptionist picks up every call you route to it, works out what the caller wants, and finishes the routine part of the job: it answers the question, books the visit, or takes down the details your team needs. Calls that need a person are flagged with a summary, so nobody starts from scratch.

  • What it handles: questions about hours, location, services, prices you publish, and policies; new bookings and changes; caller details for follow-up; after-hours and overflow calls.
  • What it hands to people: complaints, emergencies, custom quotes, billing disputes, and anything that needs professional judgment.
  • What it costs: most entry plans run $25 to $150 a month on public pricing pages, compared with a median receptionist wage of $38,010 a year, according to the US Bureau of Labor Statistics.
  • Who it suits: businesses that miss calls while the team is busy, closed, or on site, and whose callers mostly ask routine questions or want appointments.

How does an AI receptionist work?

A call reaches the AI receptionist through a number you set up or forward. A voice AI model listens, works out what the caller needs, and replies using the knowledge and instructions you provided. When a request needs an action, such as booking, it uses only the tools you enabled, then records a summary for your team.

Under the hood, four jobs repeat on every turn of the conversation:

  1. Listening. Speech recognition turns the caller’s words into text the model can work with, even when the caller rambles or changes their mind.
  2. Understanding. A language model works out the intent (book, reschedule, ask a price, report a problem) and pulls out details such as names, dates, and addresses.
  3. Deciding and acting. Business rules decide what happens next. The model looks up the answer in your knowledge, checks your calendar, or decides the call belongs with a person.
  4. Replying. Speech synthesis reads the answer back in a natural voice, and the conversation continues until the caller is done.

From the caller’s side, a typical call has four stages:

  1. Connect. The call arrives on a dedicated business number or is forwarded from your existing line.
  2. Understand. The receptionist listens to the request and asks follow-up questions when details are missing.
  3. Answer or act. It answers from your knowledge base, such as services, hours, service area, and policies, and uses connected actions like calendar booking only within the permissions you set.
  4. Record and hand off. The conversation appears in your shared inbox with a short internal summary. If a person needs to step in, the conversation is flagged for your team.

The answers are only as good as the information behind them, which is why setup starts with knowledge, not the phone number. In InsertChat, the same assistant also answers website chat, email, SMS, and WhatsApp from the same knowledge.

What does a call with an AI receptionist sound like?

Here is an illustrative after-hours call to Cedar Lane Plumbing, a fictional business. It shows the pattern most calls follow: understand the problem, give the approved answer, collect details, then book or hand off.

Caller (9:40 p.m.): Hi, our water heater is leaking. Can someone come out tomorrow?

AI receptionist: I can help with that. Is the water spreading, or is it a slow drip into the pan?

Caller: A slow drip.

AI receptionist: Thanks. Our team asks callers to turn the water heater’s cold supply valve off until a technician arrives. I have openings tomorrow at 8 a.m. and 1 p.m. Which works better?

Caller: 8 a.m.

AI receptionist: You’re booked for tomorrow at 8 a.m. at 14 Oak Street. I’ll text you a confirmation, and the technician will call when they’re on the way.

The safety step, the open times, and the confirmation all come from what the business set up: its written knowledge, its connected calendar, and its booking rules. Had the caller said water was spreading toward an outlet, the receptionist would have read the emergency steps the business wrote and raised an urgent alert for the on-call team instead of booking a morning slot.

The next morning, the team sees the call in the inbox with a transcript, an AI summary, the caller’s contact record, and the appointment on the calendar. This is an example workflow, not a customer result.

What can an AI receptionist do?

An AI receptionist can answer routine questions, capture caller details as leads, offer available appointment times, and book, reschedule, or cancel appointments within the permissions you grant. It can also notify your team and flag a conversation when a call needs human judgment.

In InsertChat, that covers:

  • Answer questions: opening hours, location, service area, services, preparation instructions, and policies, from the sources you add.
  • Capture leads: the caller’s name, phone number or email, and the details of their request. The receptionist answers questions first and collects contact details when an action or follow-up needs them. Lead capture explains what gets saved.
  • Book appointments: with scheduling enabled, it checks availability, offers a few open times, and creates the appointment after the caller confirms one. It works with the built-in calendar, Google Calendar, Outlook, Calendly, and Cal.com.
  • Reschedule and cancel: it can move or cancel appointments it booked, again only after the caller confirms.
  • Send reminders: customers can get reminders by text or email 72 and 24 hours before an appointment.
  • Notify your team: teammates can be notified when a new contact is captured or an appointment is booked, either immediately or in a daily summary. Urgent calls raise an alert.
  • Hand off to a person: when a call needs your team, it collects the details, marks the conversation needs-you, emails the teammates you chose, and tells the caller your team will follow up. A caller who asks for a callback gets a confirmation by text or email after the call.
  • Speak the caller’s language: it answers in the language the caller speaks. The bilingual answering page covers the options.
  • Act in your other tools: with a connection and your permission, it can work in tools such as HubSpot, Zoho CRM, or Microsoft Dynamics 365. Actions and approvals explains which actions run automatically and which wait for your team.

You decide how booking works: appointment length from 15 minutes to two hours, buffers, minimum notice, how far ahead callers can book, how many times to offer, and the location, whether your address, by phone, an online link, or elsewhere. You can also require the receptionist to repeat the date, time, time zone, service, and contact details before saving.

What can’t an AI receptionist do?

An AI receptionist can’t use judgment it was never given. It shouldn’t quote custom prices it can’t verify, give medical, legal, or financial advice, calm a caller in crisis the way a trained person can, or make commitments your team hasn’t approved. It also can’t answer from information you never added.

Plan for these limits before you go live:

  • Gaps in knowledge: if your service area or cancellation policy isn’t written down, the receptionist can’t give it. InsertChat is set to say when information is unavailable instead of guessing, and an uncertain answer triggers a handoff.
  • Unusual requests: a call that doesn’t match anything in your knowledge or rules belongs with a person. Write those topics into your handoff rules.
  • Bad lines and background noise: a poor connection can garble a name or an address. Ask the receptionist to repeat booking details back before saving, and check new contacts in the inbox.
  • Emotional calls: an upset caller should reach a person quickly. The upset-customer rule is on by default.
  • Upkeep: prices, hours, and services change. Someone needs to update the knowledge and read a sample of conversations each week.

Some limits are product choices, so ask any vendor directly. InsertChat does not transfer live calls, take voicemail, record calls, or place outbound calls. It keeps a transcript and summary of every call instead, and your phone can ring first so your team takes every call it can reach.

How does an AI receptionist compare with an answering service, an IVR, or a receptionist?

An AI receptionist answers at any hour from the same approved information each time and can act on the request. A human answering service brings empathy and judgment, billed by operator time. An in-house receptionist adds in-person work at a salary. An IVR phone menu or voicemail only routes callers or records messages.

AI receptionist Human answering service In-house receptionist IVR menu or voicemail
Who answers Software, from your knowledge and rules Remote operators following your script Your employee A recording
Availability Any hours you route to it, including after hours Depends on the provider’s staffing and your plan Their working hours Always on, but only routes or records
Routine questions The same approved answer every time Depends on the script and the operator Depends on training Not answered
Booking and lead capture Books within your permissions and logs caller details Takes messages or books in shared tools, depending on the service Books with your tools Caller leaves a message
Complex or emotional calls Hands off to a person under your rules A strength A strength Not handled
Record of each call Transcript and summary Operator’s message notes Whatever gets written down A recorded message
Typical cost $25 to $150 a month at entry level, plus usage Per minute or per call, often in monthly bundles Salary, benefits, and cover for time off Often part of your phone service

Two older tools often get confused with AI receptionists. An IVR (interactive voice response) plays a menu and routes callers by keypad presses or set phrases, so the caller does the sorting. An auto-attendant is a simpler IVR that connects callers to extensions or departments. Neither answers a question or books an appointment.

These options aren’t mutually exclusive. You can keep your team on the phones during opening hours and let an AI receptionist take after-hours and overflow calls, with anything sensitive going to a person. The AI receptionist vs answering service guide compares those two in depth, and the AI call center guide shows how the same technology works in larger contact centers.

What are the benefits of an AI receptionist?

The main benefit is coverage: every call you route to it gets an answer, a booking, or a clear next step, including the ones that arrive at 9 p.m. or while your team is with a customer. The other gains follow from that: consistent answers, a written record, and a cost that doesn’t grow with headcount.

  • Fewer calls lost to voicemail. A caller who reaches voicemail often calls the next business on the list. A receptionist that answers and books keeps that customer with you.
  • The same answer every time. Prices you publish, your service area, and your policies come from one approved source, so a new hire’s guess never reaches a customer.
  • Bookings without phone tag. The receptionist offers open times from your real calendar and confirms one on the call.
  • A record of every conversation. Each call has a transcript and a summary attached to the caller’s contact, so the morning starts with a list instead of a pile of voicemails.
  • One knowledge base for every channel. With InsertChat, the caller who texts later or writes on your website gets the same answer they heard on the phone.
  • Help in more languages. The receptionist answers in the caller’s language without a second phone line.
  • A predictable bill. A monthly plan with included usage costs a fraction of a salary, which the cost guide works through.

How much does an AI receptionist cost?

AI receptionist pricing usually follows one of four models: per minute, per call, per unique caller, or a flat monthly plan with included usage. Entry plans on public pricing pages run from about $25 to $150 a month. InsertChat starts at $98 a month for Pro, with one phone number and 5,000 monthly credits.

A few examples from vendors’ own pricing pages, as listed on October 13, 2026:

Pricing model Example Entry price
Per call Upfirst $24.95 a month for 30 calls
Per minute Dialzara $29 a month for 60 minutes
Per unique caller Goodcall $79 a month for 100 unique customers
Flat plan with allowances My AI Front Desk $99 a month with 200 voice minutes
Monthly credits shared across channels InsertChat $98 a month with 5,000 credits

Here is how InsertChat meters usage:

  • Plans: Pro, Growth, Scale, and Enterprise each include monthly credits, seats, and assistants; current prices and allowances are on the pricing page. Annual billing is charged upfront at the cost of ten monthly payments.
  • Calls: calls use credits. Each call rounds up to whole minutes with a one-minute minimum, so a 20-second call counts as one minute and a 61-second call counts as two.
  • Phone numbers: each paid plan includes one phone number. Additional numbers cost $10 per month each.
  • Other usage: credits also cover written conversations, knowledge processing, and tools, so credits are not a fixed number of messages or minutes.
  • Connected services: SMS, WhatsApp, and other provider services may have their own charges.
  • Free trial: new customers can try Pro free for 7 days with 500 credits. A card is required at checkout.

The AI receptionist cost guide compares nine vendors at the same call volume, and the usage estimator turns your own call count and call length into an estimate.

Which businesses use AI receptionists?

AI receptionists fit businesses whose phones ring while the team is busy with customers: trades on job sites, clinics with a full waiting room, salons mid-appointment, and offices after 5 p.m. Everywhere, routine calls go to the AI and judgment calls go to people.

Business Calls the AI receptionist takes Calls that go to a person
Plumbing and HVAC Service-area questions, booking visits, after-hours intake with the address and problem Emergencies, quotes for large jobs
Dental and healthcare Hours, insurance questions you’ve answered in writing, new-patient bookings Clinical questions and anything about a specific patient
Salons and beauty and wellness Service menu, prices you publish, booking and moving appointments Complaints, color corrections, special requests
Law firms and professional services Practice areas, office hours, a short intake before a consultation Legal advice, fees for a specific matter
Auto repair Hours, services, booking a drop-off Diagnosis and repair estimates
Property management Office hours, showing requests, logging maintenance details Urgent repairs and lease disputes

These are illustrative workflows, not customer results. The industries overview covers more trades, and the small business guide walks through which calls to hand over first.

When should a call go to a person?

A call should go to a person when the caller asks for one, when the answer is missing or uncertain, when the receptionist has failed to help twice, when the caller is upset, or when the request falls outside approved permissions. Clear handoff rules are what make an AI receptionist trustworthy.

InsertChat includes five handoff rules. Each is on by default, and you can adjust them in your settings:

  1. The customer asks for a person. The receptionist asks for help whenever the caller clearly requests someone.
  2. The answer is uncertain. It doesn’t guess when approved information is missing or conflicts.
  3. Two attempts fail. It stops repeating an answer after the caller says twice that it didn’t help.
  4. The customer is upset. Threats, severe frustration, or repeated complaints bring in a person.
  5. The action is sensitive or restricted. It won’t complete actions outside your approved permissions or business rules.

Add your own escalation topics on top of those defaults: emergencies, urgent faults, custom quotes, billing disputes, and anything that needs professional judgment. The same caution applies to email. Automatic email replies are off by default; when you turn them on, replies that are uncertain, involve an upset customer or a complaint, or touch payment or legal matters wait for a person.

For the handoff itself, tell the caller what happens next, and don’t promise a callback time your team cannot meet. The human handoff guide explains how to configure and test it.

Can I keep my business phone number?

In the US and Canada, yes. Forward your existing number to the private routing number InsertChat gives you, and a verification call confirms that forwarding works. Elsewhere, give the receptionist a local or toll-free InsertChat number where one is available. Number porting is not offered.

The call forwarding guides list the steps for AT&T, Verizon, T-Mobile, RingCentral, Rogers, Bell, and Telus. The two approaches suit different situations:

  • Forward your existing number: customers keep calling the number they already know, and your listings and printed materials stay the same.
  • Use a new number: give the receptionist its own line for a new location, a campaign, or a dedicated after-hours line. Each paid plan includes one number; additional numbers are $10 per month.

Follow the phone setup in your workspace, then call the number yourself and confirm the call appears in the inbox.

Is an AI receptionist HIPAA compliant?

An AI receptionist is not HIPAA compliant on its own; compliance depends on your agreements with the vendor and how you use the tool. If the receptionist will handle protected health information, HIPAA generally requires a signed agreement with the vendor. InsertChat Enterprise plans can sign a Business Associate Agreement (BAA).

A BAA is a contract, not a certification. The US Department of Health and Human Services publishes sample business associate agreement provisions that show what one covers. Review yours with your compliance advisor, and apply the same care to how the receptionist is configured:

  • Don’t add protected health information (PHI) to the receptionist’s knowledge unless you are covered by a BAA. Knowledge should describe your services, hours, and policies, not individual patients.
  • Limit what the receptionist collects. Booking needs a name, contact details, and a preferred time, not a diagnosis.
  • Route clinical questions, test results, and anything about a specific patient’s care to a person through your handoff rules.

If you need a BAA, contact us about an Enterprise plan.

Answering the calls customers place to you with AI is a common business practice, but tell callers they’re speaking with an AI assistant. Rules on AI voices mostly target calls a business places: in February 2024 the FCC ruled that AI-generated voices count as “artificial” under the robocall law.

Disclosure is simple and builds trust. In InsertChat, write a greeting of up to 200 characters that names the business and says an AI assistant is answering, for example: “Thanks for calling Cedar Lane Plumbing. I’m the team’s AI assistant. I can answer questions, book a visit, or pass a message to the team.” Callers who want a person can say so. If your industry has its own rules on calls or consent, check them with your advisor before you go live.

How do you choose an AI receptionist?

Choose an AI receptionist by testing it on your real calls and asking every vendor the same questions: how it bills, whether you keep your number, which calendars it books into, how it hands calls to people, and what record you get. Price matters less than whether it answers your callers correctly.

Question to ask Why it matters InsertChat’s answer
What unit do you bill, and how do you round? Rounding and minimums decide the real price Monthly credits; calls round up to whole minutes, one-minute minimum
Can I keep my number? Customers already know it Forwarding in the US and Canada; local or toll-free numbers elsewhere; no porting
Which calendars can it book into? Booking only helps if it lands in your calendar Built-in calendar, Google Calendar, Outlook, Calendly, Cal.com
How does it bring in a person? The hard calls decide your reputation Five default handoff rules, your own topics, email alerts; your phone can ring first; no live transfer
What other channels does it answer? Customers text and chat too Website chat, email, SMS, and WhatsApp from the same knowledge
Which languages? Callers won’t switch language for you Answers in the caller’s language
What record do I get? You need to check its work Transcript and AI summary in a shared inbox, attached to the contact
Will you sign a BAA? Required for protected health information On Enterprise
Can I try it first? Test calls beat demos 7-day free trial with 500 credits; card required

Then place test calls the way your customers would: a routine question, a question your knowledge doesn’t cover, a booking and a change, a request for a person, and an emergency.

How do I set up an AI receptionist?

Set up an AI receptionist in six steps: add your business knowledge, set your hours, choose booking permissions, define handoff rules, run test calls, and go live on one number. Testing before you route customer calls matters most, because it shows you exactly what callers will hear.

  1. Add your knowledge. Include services, published prices, service area, opening hours, policies, and the questions your team answers most. Add website pages, documents, and FAQs, and wait for each source to finish processing. The knowledge guide covers what to include.
  2. Set your hours and greeting. Business hours shape what the receptionist tells callers and which appointment times it can offer. Pick one of 10 voices and write a greeting that names your business.
  3. Choose booking permissions. Connect your calendar in scheduling, decide whether the receptionist can offer times, book, reschedule, and cancel, then set appointment length, buffers, notice, and how far ahead callers can book.
  4. Define handoff rules. Review the five default rules, add your own escalation topics, and choose who receives notifications when a caller needs a person.
  5. Run test calls. Call as a customer. Ask a routine question and one your sources don’t answer, book an appointment, change it, and ask for a person. Check each result in the shared inbox.
  6. Go live. Forward your existing number or publish the new one, starting with the calls you miss most, such as after-hours calls. Review conversations in the first weeks and update your knowledge where answers fall short.

The first-channel guide covers phone, website chat, email, and messaging setup in more detail.

Why choose InsertChat as your AI receptionist?

InsertChat is the most complete AI front desk for small businesses. One assistant answers your phone, website chat, email, SMS, and WhatsApp from the same knowledge, books into the calendar you already use, and puts every conversation in one shared inbox with the contact attached. Your team decides what it may do and when a person steps in.

  • Every channel, one knowledge base. Update an answer once and every channel uses it.
  • Real booking. Five calendar options, your rules for length, buffers, and notice, and reminders 72 and 24 hours before.
  • Your phone first if you want it. Ring your team for 5 to 60 seconds, then let the AI answer, or let it take only after-hours calls.
  • Connected actions. Work in HubSpot, Zoho CRM, Dynamics 365, Stripe, Square, Zendesk, and more, with approvals where you want them.
  • Room to grow. White label for agencies, reports on Scale and Enterprise, and a BAA on Enterprise.

Explore the InsertChat demo with a fictional business and sample data, compare plans on the pricing page, and start the 7-day free trial when you’re ready to place your first test call.