Use the AI in your POS for questions about your own sales, labour and menu data, since it already sees them and often costs nothing extra. Buy an add-on for jobs outside the till, such as answering the phone or marketing. Decide job by job, check the price on the vendor page, and keep a way out.
The vendors' own pages all read like the answer is "buy ours". The better question is which jobs need the data the POS holds and which do not. All prices and claims below are from vendor pages read on 27 October 2026, and several vendors publish no price at all.
What each POS actually says its AI does
Start with what is written on the pages rather than what the sales deck implies. These are summaries of vendor descriptions, not tests.
| POS | AI named | What the page says it does | Cost on the page |
|---|---|---|---|
| Toast | Toast IQ | Answers questions on sales, labour, menu performance, guest trends, discounts and voids; can edit items, adjust stock, mark items out, edit shifts and set upsells, with your confirmation | Included with Toast POS at no additional cost |
| Toast | Toast IQ Team | Labour bundle: scheduling, payroll, tips management; a scheduling agent drafts rotas from availability and projected sales | No price listed; separate pricing page |
| Square | Square AI | Ask questions about your data in plain language (labelled beta), pull in local weather, events and reviews, save charts, write item descriptions, Order Guide price comparison, automated voice ordering and messaging | No price stated |
| Lightspeed | Lightspeed AI (marked new) | Questions on sales, staff and service; saved charts; service-pacing insight; builds a menu from an uploaded file; setup help; you review proposed changes before they apply | No price or plan inclusion stated |
| Clover | None named | Its restaurant pricing page does not use the word AI | Hardware and plan prices only |
Two things stand out. First, "included" and "not stated" are different answers. Only Toast says its assistant costs nothing extra; for Square and Lightspeed you must ask whether the AI is bundled, metered or tied to a plan. Second, much of it is about asking questions of your own data. That is the sweet spot for POS AI.
The test: does the job need the POS's data?
For every job you are thinking of giving to AI, ask one question: does it need to read or change what is in the till? If yes, the POS vendor has a structural advantage, because an add-on has to be connected, and connections break and cost money. If no, the add-on is competing on quality alone, and the POS has no special claim.
| Job | Needs POS data? | Lean towards |
|---|---|---|
| "Which dishes lost money last month?" | Yes, sales and item data | POS AI |
| Marking an item out of stock at 6pm | Yes, writes to the menu | POS AI |
| Drafting next week's rota from forecast sales | Yes, sales and clock-ins | POS labour tool, or an add-on with a tested integration |
| Answering the phone and taking bookings | Partly, bookings system | Add-on, check the booking link |
| Taking phone orders | Yes, must write orders into the POS | Whichever integrates cleanly; test it |
| Writing social posts and menu blurbs | No | Chat tool or Canva |
| Replying to reviews | No | Chat tool, or the review platform's own |
| Translating the menu | No, but needs allergens verified | Chat tool plus a human |
This is a starting decision, not a verdict. A restaurant that gets 90% of its orders by phone may care more about the answering tool than the sales assistant, and that changes the whole order of priorities.
Worked example: a 45-seat restaurant on Toast
An illustration, with invented figures. A 45-seat restaurant uses Toast. The owner wants answers on three problems: slow Friday service, a thin Tuesday, and missed calls during the lunch rush.
Slow Friday service. She asks Toast IQ something like: "Which hours on Friday had the longest ticket times in the last four weeks, and which items were on those tickets?" Toast's page says the assistant answers questions on sales, labour and guest trends; check in a trial whether kitchen timing is in the data it uses, as the page does not say. If the answer shows slow tickets cluster between 19:00 and 20:00 on the grill station, she has something to fix with prep and a menu tweak. Cost: nothing extra, per the page.
Thin Tuesday. She asks for Tuesday's covers and average spend over the last eight weeks against other days. The answer is a table. The decision is hers: a set menu, a promotion, shorter hours. The tool can show the problem but not choose the fix.
Missed calls. This is not a POS-data job. Phone calls arrive at a phone number, and the till does not answer a phone. She looks at an add-on. As of October 2026, Maple lists annual prices of $85 a month for Voice and $220 for Pro (monthly billing $150 and $350), Yelp Host starting at $249 a month after a trial of up to 30 days, and Popmenu's phone answering sold as an add-on whose own pages conflict on price. Pick the one whose handling of takeaway orders and booking links you have actually tested. See the comparison of Yelp Host, Slang, Popmenu and Maple for that.
Result: the POS covers two of three jobs at no extra cost, and one add-on covers the third. The decision was by job, not by vendor. Add-on spend: somewhere between $85 and $249 a month on the figures above, less whatever the missed calls were costing. For a clear way to estimate that, see what phone answering costs and pays back.
What "beta" and "new" mean when you rely on it
Square's page labels its ask-anything feature as beta, and Lightspeed's menu marks its AI as new. Neither is a reason to avoid it, but both are reasons to set the use. A reasonable rule: use these assistants for questions and drafts, and for changes only where a mistake is cheap and reversible. Marking one dish out of stock is cheap. Re-pricing a whole menu is not.
Lightspeed's page says you review proposed changes before anything is applied, and Toast's says actions happen with your confirmation. That confirmation step is the control to test. In a trial, ask the assistant to change something harmless, such as renaming a test item, and check three things: it asks you to confirm, it shows exactly what will change, and you can see a log afterwards of who changed what. If an assistant can alter prices and there is no log, treat that as a reason to wait.
Where add-ons beat the POS
- Specialist depth. A tool built only for phone answering, reviews or loyalty usually goes further on that job than a feature inside a POS.
- Switching freedom. If you might change POS in two years, an add-on that works across systems means you keep your phone number, review history and customer list when you switch. Ask about this specifically; the vendor exit checklist covers what to look for.
- Speed of change. Smaller vendors may ship fixes faster. They may also vanish faster, which is the other side of the same point.
Where the POS beats add-ons
- One data source. There is no sync to fail. If a dish is marked out in the till, the assistant knows.
- One bill and one support line. When something breaks, there is nobody to pass the blame to.
- No integration fee. Add-ons that need a POS connection sometimes charge for it, and sometimes the POS vendor does. Ask who.
- Price, when included. Toast's assistant costs nothing extra on its page. Free is hard to beat when the job is a fit.
The cost of POS-built AI is lock-in. The more your workflow lives in one vendor's assistant, the harder the vendor is to leave, and POS contracts are often long. The tutorial on Toast system costs for a small restaurant shows how much already rides on that contract.
Four more cases, short
A food truck on Square. One person, no phone to answer, a menu that changes daily. Square's item-description writing and plain-language data questions fit, with the beta caution. No add-on needed yet.
A two-site café group on Lightspeed. The page mentions comparing staff and locations, including revenue and covers. For an owner who spends Monday mornings building a comparison spreadsheet, that may be the whole case. Check the plan and any usage limit first.
A pub kitchen on Clover. The pricing page names no AI, so every AI job is an add-on or a chat tool. That is not worse. It means the integrations you test matter more, and you should ask the add-on vendor to show it working with Clover before you pay.
A restaurant with a long POS contract and a poor phone line. The phone problem is the urgent one, and it does not need the POS. Fix it with an add-on on a month-to-month term, and leave the POS assistant for later.
Three questions to put to a POS assistant on day one
Marketing pages show the best question. A trial should show the dull ones. Take three questions whose answers you can check against a report you already trust, and see whether the assistant agrees with the report. Illustrative examples, with the sort of answer you might get and what to check:
1. "What were net sales by day of week for the last 8 weeks?"
2. "List the 10 items with the lowest margin, with units sold."
3. "How many voids and discounts did each manager apply last month?"For the first, compare the daily totals with the end-of-day reports. A mismatch of a few dollars may come from tips, refunds or tax being counted differently, and the assistant should be able to say which basis it used. For the second, margin needs recipe costs; if you never entered them, a good assistant says it cannot calculate margin, while a poor one invents it from price alone. That reaction, an honest "I do not have that data", is worth more than a clever answer. For the third, check the permissions: a bartender should not be able to ask the assistant about manager discounts, and an assistant that answers anyone anything is a staffing risk.
Run the same three questions in each POS you can trial. If you are not changing POS, run them in your own system for an hour; it costs nothing and shows what the assistant gets wrong about your data.
A realistic mistake: the menu the assistant "built"
Lightspeed's page describes uploading an existing menu file and letting its AI structure the menu, dishes and prices included, and Square's writes item descriptions for you. Suppose a café owner uploads a menu file and the assistant creates 38 items with prices and categories. She skims, publishes, and a week later a customer points out that two dishes on the online menu show the wrong price, because the file had last season's column beside this season's. Nothing malfunctioned. The assistant read what it was given. The fix is dull: after any import, export the item list and compare prices against your master menu, line by line, before it goes live. The tutorial on printable and QR menus in Canva describes a compare-and-sign-off routine that works here too.
Staff access and the question nobody asks
Whatever you choose, an AI assistant that reads sales, labour and discounts raises who can ask it what. Check, in the settings, whether the assistant respects existing user roles. A shift lead who cannot see payroll in reports should not be able to ask the assistant for it. For add-ons, ask the same about their own logins. A good test is to create a test user with the lowest role and ask it something that role should not know. If it answers, you have found a gap you would not otherwise see until someone found it by accident.
A sum: POS AI plus one add-on over a year
Illustrative figures. POS assistant: $0 extra if included, as Toast's page says for its own. Phone answering add-on: take $85 a month on Maple's annual Voice price, or $1,020 a year. Suppose it answers 120 calls a month and 15 of those would otherwise have been lost bookings or orders at an average value of $38. That is $570 a month, or $6,840 a year, set against $1,020. Even if half the 15 would have called back, it covers its cost many times. The numbers are made up, but the shape of the sum is the point: count calls that go unanswered, put a value on them, and compare with the price. Do the same with every candidate before you pay.
If the same sum on a different add-on, such as a marketing tool, produces a figure you cannot defend, skip it. Marketing and loyalty tools are the ones with the vaguest returns, and the ones where I would insist on a month-to-month term and a clear export of your customer list.
What to ask before you say yes to either
- Is the AI included in my plan, on a metered allowance, or an extra? Get it in writing, with the date.
- Which of my data does it read, and is it used to train models? Look for the AI terms page; Lightspeed's page refers to its own AI Terms.
- Can it change data, and what confirmation and log do I get?
- For an add-on: which POS versions does it connect to, who pays for the connection, and what happens if I change POS?
- What is the minimum term, and how do I leave? Ask for my customer data and phone number to come with me.
- What breaks if the vendor changes pricing or retires the feature?
For the full list, use twelve questions to ask before signing. If you would like help deciding what to ask your own vendors, this is the kind of review my AI implementation consultation covers.
Timing: when a POS contract changes the answer
Where you are in your POS contract matters as much as the feature list. If you are about to sign or renew, the AI on offer is a negotiating point: ask for the assistant, and any labour bundle, to be named in the order form with the price and the date you checked it, so a later "that is a premium feature" cannot surprise you. If you are mid-contract and happy with the till, shop for add-ons only for jobs the till cannot do, and keep terms short so you can move when the contract ends. If you are about to change POS anyway, put the AI jobs on your demo script and make each vendor do them live with your own menu rather than a prepared one. A vendor who needs a prepared menu to show the assistant working is telling you something about how it copes with real data.
A short written scorecard keeps this honest: list each job, mark whether the POS covers it, note the price or "not stated", and add the date you read the page. When a rep says "that is coming soon", write that down as not covered. Features on a roadmap do not answer tonight's missed calls.
Check it again in six months
This area moves quickly. Features marked beta or new today will change, prices appear on pages that now say nothing, and some add-ons will be bought or closed. Put a dated reminder in your calendar to re-read the vendor pages every six months, note any change in a one-line log, and ask whether the jobs you gave to an add-on are now covered by the till. Sometimes the answer is yes, and a monthly bill can be dropped without anything else changing.
POS AI questions restaurant owners ask
Does Clover have AI for restaurants?
Its restaurant pricing page, which I read on 27 October 2026, did not mention AI at all. That does not rule out features elsewhere in its app market, so ask your rep, but you should not assume the AI is built in.
Is Toast IQ free?
Toast's page says Toast IQ is included with Toast POS at no additional cost. That covers the assistant. Toast IQ Team, the labour bundle with scheduling, payroll and tips, lists no price on its page, so you would need a quote.
Is Square AI finished?
Square labels its ask-anything feature on the AI page as beta. Treat beta features as useful but changing, avoid building a process on one, and keep a manual fallback for anything that touches money.
Can I use an add-on tool with any POS?
Not always. Add-ons that take orders or read sales need a POS integration, and some only support certain systems. Ask the vendor in writing which POS versions it connects to and who pays for the connection.
Further reads
- How Much Does AI Cost a Small Restaurant Each Month? — A monthly AI budget for a small restaurant.
- AI Scheduling App for Restaurants: Split Shifts, Tips and Swap Rules — Testing scheduling features before paying.
- Popmenu AI Answering: Does It Take Orders or Only Send Links? — Whether Popmenu AI takes orders.
- Restaurant Waitlist Software: Where AI Helps at the Door — Where AI helps at the door.
- How to Buy AI Software for a Shop or Restaurant: Pre-Purchase Checks — Checks before buying any AI software for a restaurant.
- What an AI Implementation Plan Looks Like for a Small Restaurant — An implementation plan for a small restaurant.
- AI Consulting for Restaurants: What to Ask and What to Expect — A sample scope of work, the questions to ask, and the deliverables a restaurant should expect from an AI consultant in the first month.
- Takeaway EPOS Systems Compared: Which AI Features Matter — Score takeaway EPOS systems on the jobs that matter: delivery-app orders, kitchen printing, reports and contract terms, then check the AI extras.
- Toast IQ Team or Toast IQ Grow: Which Suits a Small Restaurant? — Toast IQ Team handles labour, Toast IQ Grow handles marketing. A break-even comparison for a small restaurant, and who should stay on the included Toast IQ.
- Restaurant Labour Cost Percentage: Test Rota Changes With AI First — A what-if rota test from last month's takings and payroll: baseline the percentage, cost the change and find the break-even sales loss, with AI doing the sums.
- Restaurant Loyalty Programme: Simple Rewards and AI-Written Offers — A no-app loyalty scheme: one reward rule, tracking in a sheet or till, consent done properly, three offer types written with AI, and repeat visits measured.
- Square AI Voice Ordering for Restaurants: Set Up and Test (Beta) — The Dashboard steps, the plan you need and a seven-day test-call schedule to run before Square's AI answers your restaurant phone.
- AI Robots in a Restaurant: Are They Worth It for a Small Place? — Serving robots versus handheld and QR ordering for a small restaurant: what each removes, a walk audit with sums, and the lease-or-buy terms to demand.
- Can AI Do a Restaurant's Bookkeeping? What a Person Still Checks — One restaurant month worked through: what AI bookkeeping handles for receipts, deposits and sales, and what a person still checks on tips, tax and stock.
- What Toast IQ Can and Cannot Tell You About Sales and Labour — Toast IQ's real reach on sales and labour: example owner prompts, the limits Toast's pages skip, and a five-minute check before you act on a number.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Toast IQ and Toast IQ Team product pages, Square AI page, Lightspeed Restaurant AI page and Clover restaurant pricing page (all checked 27 October 2026); vendor pricing pages for the add-on tools named.