AI for Restaurants and Cafés in 2026: What Works for Phones, Orders and Reviews

The short answer

AI for restaurants works best on the jobs that interrupt service: answering the phone, taking simple takeout orders and reservations, keeping online menus and listings accurate, and replying to reviews. It works worst when it is left alone with complicated orders, allergy questions or a rush-hour line. Even the largest chains have learned that voice AI needs a human close by.

Restaurants have been slower than many industries to adopt AI, and for understandable reasons: margins are thin, staff are busy, and a wrong order costs a customer. The National Restaurant Association's 2026 State of the Restaurant Industry report, as summarised by Restaurant Dive, found that 26% of US operators use AI-related tools. Marketing is the top use, at 19% of full-service and 15% of limited-service operators, while only 6% use AI for customer orders. The same report found about six in ten millennial and Gen Z adults say they would order from an AI bot.

What the big chains learned about voice AI

Two well-documented tests are worth knowing before you buy a voice-ordering system.

McDonald's. After testing AI drive-thru ordering with IBM at about 100 US locations, McDonald's ended the test in 2024. Nation's Restaurant News reported that a 2022 analyst estimate put accuracy in the low-80% range, against the 95%-plus McDonald's wanted before a wider rollout.

Taco Bell. After rolling voice AI out to more than 500 drive-throughs and taking over two million AI orders, the chain said it would be more selective. Its chief digital and technology officer told the Wall Street Journal that when restaurants are very busy with long lines, a human may handle orders better, according to Silicon UK's report. A viral clip showed a customer apparently crashing the system with an order for 18,000 cups of water.

The lesson for an independent restaurant or café is not "avoid AI." It is to start with the calls and tasks where a mistake is cheap, keep a person one tap away, and measure accuracy before expanding.

Where AI for restaurants pays off first

The phone

Peak hours are exactly when the phone rings most and staff can least afford to answer it. An AI receptionist can answer hours, location, parking and "are you open on the holiday Monday," take reservations into your booking system, and text a link to your online ordering page. Our guide to AI receptionist costs in Canada covers what this runs.

Before you switch anything on, spend one week counting. Most phone systems can show how many calls went unanswered and at what times. If the missed calls cluster around the lunch and dinner rush, overflow answering is the obvious fix. If they cluster before opening, an after-hours assistant that handles reservations and the ordering link may be all you need. Either way, you will have a baseline to judge the tool against.

Simple takeout orders

Phone ordering for a fixed menu can work if the AI reads from your live POS menu, repeats the order back, and sends anything unusual to staff. Large catering orders and heavy customisation should go to a person.

Menus and listings everywhere

Your menu lives in a dozen places: your website, Google Business Profile, delivery apps and social profiles. AI can help draft descriptions and keep versions in sync, but the source of truth must be one menu you control. If you are part of a chain with 20 or more locations in Ontario, the Healthy Menu Choices Act requires calorie information for standard items, so AI-rewritten menus must not drop it. Search visibility depends on the same data; see our Google Business Profile optimisation guide.

Reviews

AI can draft polite, specific replies to reviews in seconds for a manager to approve. It must not write reviews, and you must not filter who you ask. Google's Maps content policy prohibits offering discounts or free items for reviews and bans selectively soliciting positive ones. Our guide to getting more Google reviews covers the honest version.

What to avoid

• Letting AI answer allergy questions. A model can confidently say a dish is nut-free when the fryer oil or a sauce says otherwise. Route these to staff every time.
• An AI menu that drifts from the real one. Prices, items and calorie details must come from your POS or master menu, not from what a model "remembers."
• Voice AI at the busiest station first. The chain tests show rush periods are the hardest. Start with off-peak and overflow calls.
• Review replies that reveal details. Do not confirm a guest's visit, order or booking details in a public reply.
• Marketing texts without consent. Promotions by email or text need consent under Canada's anti-spam law; see our plain-English CASL guide.

Your first 90 days

1. Days 1 to 30: answer every call. Put an AI receptionist on overflow and after-hours calls for FAQs, reservations and the online-ordering link. Track calls answered and covers booked.
2. Days 31 to 60: fix your menu data. Make one master menu, then update your website, Google listing and delivery apps from it. Use AI to draft descriptions, and have the chef approve them.
3. Days 61 to 90: reviews and repeat visits. Use AI to draft review replies for a manager to approve, and set up a consent-based email or text list for slow-night offers. Only then test phone ordering for simple takeout during quiet hours.

For more on how restaurants and cafés tie these pieces together, see our restaurant industry page.

Key takeaways

• About one in four US restaurant operators use AI tools; marketing leads and ordering trails.
• McDonald's and Taco Bell both pulled back voice AI where accuracy or rush-hour pressure fell short.
• Start with the phone and FAQs, then menu data, then reviews; test ordering last.
• Keep allergy, refund and safety conversations with people.

Frequently asked questions

Can AI take phone orders for my restaurant?

Yes, for simple orders from a fixed menu, if it reads your live menu, repeats the order back and hands off anything unusual. Large chains found accuracy and peak-hour pressure were the hard parts, so start small.

Is it okay to use AI to reply to Google reviews?

Drafting replies with AI is fine if a manager reviews them. Writing reviews, paying for them or asking only happy guests breaks Google's rules.

Can a chatbot answer allergy questions?

It should not. Ingredients, prep and cross-contact change, and a wrong answer can cause serious harm. Route those questions to staff.

Sources

1. NRA: Over 25% of restaurant operators use AI — Restaurant Dive, February 18, 2026
2. McDonald's is ending its AI drive-thru test with IBM — Nation's Restaurant News, June 17, 2024
3. Taco Bell Reconsiders Drive-Through AI Amidst Customer Irritation — Silicon UK, September 1, 2025
4. Healthy Menu Choices Act – Menu Labelling — Middlesex-London Health Unit
5. Prohibited & restricted content — Maps User Generated Content Policy Help, Google

How Flowmatix can help

We put this into practice for businesses in Toronto and around the world through our AI Receptionist: Chat & Phone, reviews & reputation management, local seo & google business profile services. Want to know what it would take for your business? Get a personalised quote in about 3 minutes.