Key takeaways
- An AI receptionist for restaurants answers the phone at the host stand during the rush and after close, takes resos and to-go orders, and answers the same hours-and-parking questions staff get all night.
- In one vendor’s data from over 1 million US restaurant calls, reservations, hours and directions, and menu questions made up three quarters of calls.
- Pricing models differ a lot: flat per location, per unique caller, or per minute. Compare on your own call volume, not the headline price.
- Keep people on the money calls (events, catering, large parties) and the recovery calls (complaints, severe allergies). Let the AI take the rest.
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Friday, 7:15 p.m. The host stand has a 40-minute wait, two deuces asking about the patio, and a phone that won’t stop ringing. Every call is either a reso, a to-go order, or someone asking if you’re open late. Whoever picks up is now not seating guests. Whoever doesn’t pick up just lost a cover, or sent that order to DoorDash at a 15-30% commission.
That’s the job an AI receptionist is built for. This guide covers what it handles, which calls it should hand to staff, what it really costs per location, the objections operators raise, and how to roll it out without upsetting regulars.
What does an AI receptionist for restaurants handle?
- Reservations: book, change and cancel resos in your reservation system, confirm party size and time, and text a confirmation.
- To-go and pickup orders: take the order with modifiers (no onions, gluten-free crust, extra sauce), read it back, quote a pickup time, and send it to the POS as a real ticket.
- Hours, directions and parking: including holiday hours, if someone keeps them updated.
- Menu questions: specials, what’s 86’d tonight, vegan and gluten-free options.
- Large parties, private events and catering: capture the date, headcount and budget, and pass the lead to your events manager.
- Order status: for direct orders it can see; for third-party orders, point the guest to the app.
- Screening: job applicants, vendor and sales calls, so they don’t tie up the host stand.
For how this compares with answering services in other industries, see our AI answering service guide.
What do restaurant calls look like?
Neutral data on restaurant calls is thin. The largest dataset published comes from Maple, which sells AI phone answering, covering 1.2 million calls across more than 1,000 US locations (December 2025):
| What callers wanted | Share of calls |
|---|---|
| Reservations | 38% |
| Hours, location, directions | 22% |
| Menu questions | 15% |
| Takeout and delivery orders | 12% |
| Events and large parties | 7% |
| Reservation changes | 4% |
In the same data, 68% of calls came during the lunch and dinner rushes, exactly when the host stand is slammed. Maple’s 2026 phone audit put about 19% of calls outside opening hours. Treat these as one vendor’s numbers, and check your own phone bill or POS call log before you buy anything: a pizza shop’s mix is mostly orders, a full-service spot’s is mostly resos.
Host stand, answering service, AI or hybrid: how do they compare?
| Staff at the host stand | Live answering service | AI receptionist | Hybrid (AI first, staff for exceptions) | |
|---|---|---|---|---|
| Who answers | Host, bartender or manager | Remote operators | An AI voice agent | AI, with transfer to a manager |
| During the rush | Pulls staff off the floor | Takes messages | Answers every call at once | Answers every call; staff take the few that need them |
| After close | Voicemail | Yes | Yes | Yes |
| Takes orders into the POS | Yes | Rarely | Yes, if integrated | Yes |
| Books resos | Yes | Sometimes | Yes, if integrated | Yes |
| Knows tonight’s 86’d items | If someone tells them | Rarely | If the menu syncs or staff update it | Same as AI |
| Watch out for | Missed calls during the rush; turnover | Messages someone still has to call back | Mishearing in noise or with unusual item names; needs clear transfer rules | Transfer rules must be set and tested |
Turnover is the reason many operators look at this at all. Accommodation and food services had the highest quits rate of any industry in August 2026, 3.5% against 1.9% for all industries (BLS). Every new host has to learn the phone, the reso book and the menu from scratch.
How much does an AI receptionist for restaurants cost?
In-house: the median wage for hosts and hostesses was $15.00 an hour in May 2025 (BLS via O*NET), before payroll taxes.
AI receptionists are priced three ways: a flat monthly fee per location, a fee by number of unique callers, or per minute of call time. Here is what published plans cost for one example: one location with 1,000 call minutes a month.
| Provider | Pricing model | Published pricing | About this much for 1,000 minutes |
|---|---|---|---|
| Slang | Per location | Core from $399/location/month; Premium from $599 | $399+ |
| Maple | Per location, flat | Voice $150/month ($85 billed yearly); Pro $350/month ($220 billed yearly). Voice doesn’t take orders or resos | $220-350 for Pro |
| Goodcall | Per unique caller | $79 (100 callers), $129 (500), $299 (2,000) a month</td> <td>$129-299, depending on how many different people call | |
| Dialzara | Per minute bundle | $349/month for 1,000 minutes</td> <td>$349 | |
| Persistence | Per minute | From $0.10 per minute, all in</td> <td>From $100, plus $2/month per phone number |
Prices checked November 2026 on each provider’s public pricing page. Plans change, so confirm before you sign.
When you compare, ask:
- Does the plan take orders and resos, or only answer questions? Some entry tiers only answer FAQs.
- Setup fees and contract length. Some vendors charge setup and lock you into a term with no refunds.
- Per location or per account? A flat per-location fee adds up fast for a group with several stores.
- What a missed order is worth to you. On DoorDash and Uber Eats, delivery plans take 15-30% of the order subtotal (DoorDash, Uber Eats). A phone order you answer yourself keeps that margin.
Which calls should go to staff?
The rule of thumb: let the AI take the calls you answer 40 times a night, and keep people on the money calls and the recovery calls.
| Call | AI handles | Hand to staff when |
|---|---|---|
| New reservation | Books it, confirms party size and time, texts a confirmation | Party is over your online limit, it’s a VIP or special occasion, or you’re fully booked and the guest pushes |
| Change or cancel a reso | Updates it and releases the table | There’s a deposit dispute |
| Hours, directions, parking | Fully | Never, but keep holiday hours current |
| Menu, specials, 86’d items | Yes, if the menu is kept current | Severe allergy or cross-contact question: transfer, or give a clear “please speak to a manager” |
| To-go order | Takes it with modifiers into the POS, quotes a pickup time | Large or complicated order, payment problem, guest asks for a person |
| Private event or catering | Captures date, headcount, budget | Always for the quote and the close |
| Complaint or refund | Logs details and apologizes | Always: a manager calls back (a comp needs a person) |
| Job applicants, vendors, sales calls | Screens and takes a message | Real vendor problems go to the kitchen manager |
Allergies deserve a written rule. If the menu data is stale, an AI will answer confidently from it. Decide in advance which allergy questions it can answer from the menu and which always go to a manager. For how the transfer itself should work, see our guide to voice AI human handoff.
Will guests talk to an AI?
Some won’t, and it’s better to plan for that than to hide it. Burger King said in September 2026 that it is rethinking drive-thru AI after drive-offs, because “guests don’t want to talk to a bot” (NRN). In a 2026 PAR survey of 1,000 diners, 44% said AI goes too far when they can’t easily reach a person (Franchising.com; PAR sells restaurant POS).
On the other side, a DoorDash survey published in May 2026 found 75% of consumers comfortable using AI to make reservations, while only 28% of operators used AI for calls (DoorDash).
What works:
- Let guests reach a person any time by asking. During service, transfer to the host stand or manager; after close, take a message for the morning.
- Keep it fast. Book the reso or take the order, read it back, done.
- Test it with your real menu. Mishearing tends to show up on unusual item names, accents and kitchen noise, so test those before go-live.
- Answer in the guest’s language. Many guests are more comfortable ordering in their own language, and an AI agent can switch languages mid-call.
8 questions to ask any AI receptionist vendor
- Does it put orders into our POS as a real ticket, with modifiers, or send an email or text?
- Which reservation system does it book into, and does it respect our party-size limits and table rules?
- How does it learn what’s 86’d tonight, specials and holiday hours, and who updates them?
- How does it take payment for phone orders: on the call, or a text link? Who holds the card data?
- What happens when a guest asks for a person during service, and after close?
- How is it priced: per location, per caller or per minute? Any setup fee, contract term or refund policy?
- For multiple locations: one number or one per store, and can each store have its own hours and menu?
- What do we see after each call: recording, transcript, order, outcome?
How to roll it out without upsetting regulars
- Start after close and during the rush. Those are the calls nobody is answering today.
- Load the real menu with modifiers, plus hours, holiday hours, parking and your reso rules.
- Set the transfer rules with your GM: events, complaints, allergies, VIPs.
- Test real calls: a Friday 7 p.m. reso for six, a pizza order with three modifiers, a gluten-free question, a guest who wants a manager, a call with kitchen noise in the background.
- Check every ticket for the first two weeks. Compare phone orders against the POS and fix any item the agent mishears.
- Then widen it to all hours and, for groups, the other locations.
Our voice agent testing guide shows how to turn those test calls into a repeatable checklist.
How this works in Persistence
Persistence is a platform for building AI voice agents that answer and make phone calls. For a restaurant:
What it can handle, inbound and outbound: reservations, changes and the waitlist, to-go orders with modifiers, catering and event leads, order status, menu and allergen questions from your menu, gift cards, hours and directions, plus outbound order confirmations, reservation reminders and guest feedback calls, in 40+ languages and across every location. Anything with an API can be connected, so the agent works with the rest of your restaurant stack too.
- Build the agent from a plain description of your restaurant, or design the call flow step by step: greeting, reso, order, menu questions and transfers. Build an agent
- Take orders and resos: Persistence connects to Toast, Square, Clover, OpenTable, Resy, SevenRooms and other POS and reservation systems, so orders land as real tickets with modifiers and resos land in your book like any other booking. For phone orders, the agent texts the guest a payment link, so card details are never read out over the phone.
- Transfer to staff: warm transfers to the host stand or a manager, with a summary passed along.
- Test before guests call: simulated calls covering your menu, modifiers and transfer rules, with a pass rate before go-live. Testing
- See every call: recordings, transcripts, summaries and outcomes. Monitoring
- Languages and reliability: speaks 40+ languages and switches language mid-call, with no per-language surcharge; 99.99% uptime; as many calls at once as you need, so the Friday rush never hits a busy signal.
In practice: food businesses already run high call volumes on Persistence. A coffee chain makes more than 1,000 calls a day for its internal operations, and a food delivery brand makes more than 9,000 calls a day to collect feedback on orders.
See Persistence solutions and pricing.
Who Persistence is best for
Persistence fits restaurants and groups that want phone orders and resos finished on the call and landing in their own systems, and that want to see and test what the agent does. It suits busy single locations, pizza and to-go heavy concepts, and multi-location groups that want one setup across stores.
If you only need a menu-and-hours line with no orders or bookings, a simpler fixed-price product may be enough. If you want a person on every call, a live answering service is the better fit.
Related resources
For the wider picture, read our guide to choosing an AI receptionist for any business, and our hub guide to contact center automation.
Comparing options? See our list of the best restaurant phone system choices, and Toast vs Square if you are also choosing a POS.
Frequently asked questions
What is an AI receptionist for restaurants?
What is an AI receptionist for restaurants?
How much does an AI receptionist for a restaurant cost?
How much does an AI receptionist for a restaurant cost?
Can an AI receptionist take phone orders into Toast, Square or Clover?
Can an AI receptionist take phone orders into Toast, Square or Clover?
Will an AI receptionist handle allergy questions?
Will an AI receptionist handle allergy questions?
Will guests hang up on an AI?
Will guests hang up on an AI?