Best AI Phone Answering for Restaurants (2026)

The phone in a restaurant rings hardest at exactly the moment nobody can pick it up, which is why this category exists and why so much of it is sold badly. Search for the best AI phone answering for restaurants and you will find lists that compare voices, personalities and setup times - none of which is the decision. The decision is whether the call has to end as a message, a reservation, or an order sitting in your POS, because those are three genuinely different products at three genuinely different prices. We make one of the five things on this list, the simplest one, which places us last. Here is the ranking anyway, with every published price sourced and every missing one named as missing.

The ranking, in one table

Ordered for the restaurant most likely to be reading this: one to three locations, independent or small group, losing calls during service. A forty-unit franchise group should read this table bottom-up.

Where does the call end?

This is the whole comparison, and it takes about ninety seconds to answer for your own restaurant. Pull up last week and ask what the phone was actually for.

A full-service restaurant with a booking platform sits on the middle branch, and most of its phone volume is questions it has answered ten thousand times: are you open Monday, do you have parking, can we bring a cake, is there a gluten-free option. A pizzeria, a taqueria or a wing place sits on the right branch, where every unanswered call is a basket that went to the competitor two streets over. Those two restaurants should not buy the same product, and both of them will be shown the same five names by every listicle on this results page.

How we ranked these - and who we are

1. First-party sources only.Every figure below is from the vendor's own pricing page, product page or integrations page, read in August 2026. Where a vendor does not publish a number, we say so instead of borrowing one from another blog. A striking amount of the pricing circulating for this category traces back to nobody.
2. Ranked by fit for an independent, not by size. ConverseNow is arguably the most capable product here and it sits third, because a two-location bistro cannot buy it and would not want to. Fit beats capability every time in a purchase this small.
3. Write-back outranks voice. A product that puts an order on the kitchen printer removes work. One that emails you a transcript creates a to-do list. Both are marketed with the same sentence about never missing a call.
4. We disclose our own position. We sell a general packaged AI receptionist. It does not write into a POS or a booking platform. That places us fifth, and if you need either, four other products here beat ours.

Why phone ordering is the hard one

It is worth being precise about this, because "takes orders" on a feature list conceals five separate engineering problems, each with its own way of ruining a Friday.

• The menu is not a document, it is a live state. Prices change, specials appear, a category gets renamed at 4 p.m. An agent working from a PDF someone uploaded in March will confidently quote a price you no longer charge.
• Modifiers are where accuracy actually dies. No onions, extra cheese, sub fries for salad, half-and-half on a large. A plain order is a demo. Three modifiers on one item is the product.
• The 86 list changes faster than any integration. The salmon goes at 7:15. If the agent is still selling it at 7:20, you have converted a missed call into a refund and a bad review. Loman lists out-of-stock AI menu updates as its own line item on the upper tier, which tells you it is a distinct thing that has to be built.
• Quote times are a promise, not a field. Twenty minutes on a Tuesday is fifty on a Friday. Ask whether the number is static, rule-based or reading real kitchen state, and set it pessimistically if it is the first.
• Payment drags in a second compliance surface.Taking a card over the phone through a voice agent is a different product decision from taking a name and charging at pickup. Loman's upper tier lists secure payment over the phone as a separate feature for exactly this reason.

The five, one at a time

1. Loman - built for the branch where the money is

Loman is the clearest independent-focused answer to the transaction branch. Its integration list is POS-first and specific - Toast, Square, Clover, SpotOn, Shift4, Aloha by NCR, Olo and Stream - with OpenTable and Resy alongside, so it reaches both endings rather than picking one. Its pricing page states plainly: no per minute fees, no hidden costs.

The tier split tells you more than the marketing does. Starter is described as being for basic call management. Premium is for ordering and reservations, and the features that appear only there are the hard ones: takeout and delivery ordering, complete POS integration, secure payment over the phone, out-of-stock AI menu updates, a dynamic upsell engine. That is an accurate map of where the difficulty lives.

The critical read:neither tier publishes a price, including the basic one, which is a choice. For a single-site restaurant that means a sales call before you can even size the decision. And treat every accuracy percentage in this category - Loman's pricing page claims 99.6% order accuracy - as a vendor metric measured by the vendor on their own definition of an error. It is not a lie; it is simply not something you can compare across vendors. Your Tuesday test is worth more than the number.

2. Slang.ai - the transparent one, for the other branch

Slang.ai is the only product in this comparison that will tell you what it costs without a meeting: Core starting at $399 per month per location and Premium at $599, with enterprise quoted, and a claim that setup takes less than thirty minutes. In a category this coy, publishing is worth something on its own.

It is also unusually clear about what it is for. Its own description covers everything from hours and directions to reservations, promos and allergy information, and its integrations page is four logos deep: OpenTable, SevenRooms, Tripleseat and Yelp.

The critical read: $399 per location per month is real money for an independent, and you are paying it to deflect questions and capture bookings rather than to generate revenue directly. That maths works comfortably for a busy full-service room with an expensive host stand and a hundred calls a day. It works badly for a forty-cover neighbourhood restaurant that gets nine. Count your calls before you count the features.

3. ConverseNow - the one built for scale you probably do not have

ConverseNow sells voice AI for restaurant ordering to the top of the market, and it is not shy about who it works with: its site names Blake's Lotaburger, Denny's, Domino's Pizza, Fazoli's, Hardee's, Jets Pizza and Wingstop. The POS partner list reads like a franchise procurement document - Brink POS, Fiserv, Focus, ItsaCheckmate, NCR Aloha, Olo, PAR, Qu and Xpient.

If you run twenty units with a drive-thru and a franchisor with opinions about your tech stack, this is the shape of vendor you want: one that has already been through that integration and that certification, and that prices per unit at a volume where a point of order accuracy is worth seven figures.

The critical read: everything that makes ConverseNow right for Wingstop makes it wrong for one restaurant. No published price, an enterprise sales motion, and a deployment model that assumes a standardised menu across units. A single independent asking for a quote here is asking for a procurement cycle in exchange for capability it has no way to consume.

4. PolyAI - a platform that also does restaurants

PolyAI is a horizontal enterprise voice-agent company covering ten verticals - consumer services, financial services, healthcare, hospitality, insurance, restaurants, retail, telecoms, travel, utilities - with use cases spanning authentication, billing, routing and order management as well as bookings. Its pricing page is explicit about the model: ongoing use of the voice agent is priced on a per-minute basis, inclusive of maintenance, performance improvements and 24/7 support.

Per-minute is an honest meter and a demanding one. It means a busy month costs more, which is correct in principle and unpleasant when it arrives in a quarter you already budgeted. It also means the vendor is exposed to their own inefficiency, which is a good incentive.

The critical read: a hospitality group with a contact centre and a brand voice worth designing should absolutely talk to them. A restaurant should not, for the same reason it should not hire an architect to hang a shelf. The build-versus-buy version of this argument, with the platform vendors, is in Twilio vs Dialpad vs Freshworks vs EliseAI.

5. A general packaged AI receptionist - including ours

Last, and honestly last: a general AI receptionist answers with your greeting, knows your hours, menu highlights, allergen policy, parking and booking policy, handles large-party and private-hire enquiries by taking details, transfers a complaint to a human, and puts a transcript of every call in your inbox. Flat monthly - ours is €99 or €299 a month - live the same day, cancellable.

For a large share of independents this is the correctly sized purchase, because their phone problem is not lost orders. It is that four people a night ring during service to ask something already on the website, and one of them was a twelve-top. Deflect the four, capture the one, and stop paying a per-location fee for a POS integration you were never going to use.

The critical read, on ourselves:if your calls are orders, we are the wrong product and so is any other general receptionist, whatever its home page implies about restaurants. An order that arrives as an email is not an order - it is a second job for whoever reads the email. Buy Loman, or check your POS directory first. Toast's own listing for Incept AI describes the arrangement precisely: your Toast menu is ingested into Incept AI, and when it takes an order it is automatically pushed to the Toast POS and any KDSes. That is what a real POS integration reads like, in the POS vendor's own words, and going through the directory is usually the cheapest route to one.

What each one actually costs

Before comparing any of these to each other, compare them to the thing they replace. A missed call at a restaurant is not a lost enquiry, it is a lost basket with a known average value, and it is one of the few industries where the arithmetic is genuinely easy to do - the method is here. Run it on last month before you read another feature list.

The two sentences that must never be automated

Restaurants carry a specific liability that dentists and plumbers do not, and it is worth writing the rule down before you configure anything.

An AI must never confirm that a dish is safe for an allergy.Not "it's gluten-free", not "there's no nuts in that". Kitchens cross-contaminate, recipes change, and a model repeating a menu tag as a safety assurance is the worst possible failure mode this software has. The correct behaviour is to state what the menu says, then hand the call to a person or take a number for the manager. Slang.ai's own product description mentions handling allergy information, which is fine as information and dangerous as assurance - make sure your configuration knows the difference.

An AI must never promise a time it cannot see. That applies to a table at 8 and to a pickup at 7:30 equally. If the agent cannot read live state, it should quote a range, err long, and say it is approximate.

Alongside those two: have the agent say it is AI in its first sentence. Guests forgive a robot that says it is a robot and they do not forgive one that pretends. And route complaints to a human immediately - nobody who is already annoyed wants to explain themselves twice.

A test you can run during a slow Tuesday

1. Order your most-modified item. Three changes, minimum. Then change your mind about one of them mid-sentence.
2. Order something you know is 86'd. If it takes the order, the demo is over.
3. Ask how long for pickup. Then ask where that number came from. The vendor should be able to answer even if the agent cannot.
4. Ask an allergy question. Anything other than careful deferral is a fail, no matter how confident it sounds.
5. Ask for a table for fourteen on Saturday. Large parties are a human decision in almost every restaurant. Does it know that?
6. Talk over it. Interrupt the greeting the way a real caller in a car does.
7. Then go and look. Did the ticket print? Did the booking appear in OpenTable? Everything before this step is theatre.

We run the same ranking for two other trades where the system of record is completely different - dental practices, where it is Dentrix or Open Dental, and home services, where the platform vendors now ship their own agent.

When none of these is the answer

• Your POS already offers one. Check before you shop. The vendor holding your live menu and your ticket flow starts with an advantage no third party can buy, and the same pattern has already played out in the trades, where Jobber, Housecall Pro and ServiceTitan all now ship their own.
• Your phone volume is nine calls a day. At that level almost any of these is more expensive than the problem. An answering machine with a good message and a text-back does most of the work.
• Your real problem is online ordering adoption. If eighty per cent of your phone orders would happily have been placed online, a QR code on the door and a link in your Google profile is a cheaper fix than a voice agent.
• Nobody owns the menu updates.Every product here is exactly as accurate as what you last loaded. If your specials change weekly and nobody has fifteen minutes to keep it current, you are buying a machine that will confidently sell last week's menu.

If what you need is the simple version - the phone answered properly during service, questions handled, the twelve-top captured, a transcript in your inbox - that is the narrow problem we built for, and our restaurant answering service guide goes further into what the script should and should not say.