Use Cases

AI Agents for Restaurants and Hospitality

Restaurants get 50+ calls daily for basic questions. An AI agent handles reservations, menus, and dietary queries around the clock.

The Phone Will Not Stop Ringing

If you have ever worked in a restaurant, you know the scenario. It is 6:30 PM on a Friday. The dining room is full. The kitchen is backed up. And the phone is ringing. Again.

"What time do you close?" "Do you have gluten-free options?" "Can I make a reservation for eight people on Saturday?" "Do you have parking?"

The National Restaurant Association estimates that a typical full-service restaurant receives 50 to 100 phone calls per day, and the majority are for information that is already on the website, the menu, or the Google listing. Each call takes a staff member away from serving the guests who are already there.

An AI agent does not replace your host or your servers. It answers the phone so they do not have to.

The Questions That Never Stop

Restaurant inquiries follow predictable patterns. The same twenty questions account for roughly 80% of all customer contacts:

  • Hours and location -- "Are you open on Mondays?" "Where are you located?" "Is there parking nearby?"
  • Menu and pricing -- "Do you have a kids menu?" "What's the price range?" "Can I see the dinner menu?"
  • Dietary restrictions -- "Which dishes are vegan?" "Do you have nut-free options?" "Is the pasta gluten-free?"
  • Reservations -- "Can I book a table for four on Friday at 7?" "Do you take walk-ins?" "What's the wait time right now?"
  • Events and private dining -- "Do you host private parties?" "What's the minimum for a buyout?" "Can we bring our own cake?"

Every one of these can be handled by an AI agent with the right knowledge base. The restaurant uploads their menu, their policies, their hours, and their event packages. The agent handles the rest.

Reservations Without the Phone Tag

Reservation handling is where an agent saves the most staff time. The typical reservation call goes like this:

  1. Customer calls
  2. Host stops what they are doing to answer
  3. Back and forth on date, time, and party size
  4. Check availability
  5. Confirm details
  6. Write it down or enter it in the system

An agent compresses this into a text conversation that takes 30 seconds:

Customer: "Table for 4 this Saturday around 7pm?" Agent: "Saturday at 7:00 PM for 4 guests -- I have availability at 7:00 or 7:30. Which do you prefer?" Customer: "7:30 works." Agent: "Done! Reservation for 4 at 7:30 PM on Saturday, March 14. You'll receive a confirmation text. Anything else I can help with?"

No hold music. No phone tag. No interrupting the host during dinner service.

Dietary Restrictions: Getting It Right

This is an area where accuracy is not just a convenience -- it is a safety issue. A customer with a severe nut allergy needs reliable information, not a guess.

An AI agent backed by your actual menu data can provide precise answers:

  • "Our pad thai is made with peanuts and cannot be modified to be nut-free. However, our green curry and basil stir-fry are prepared in a separate area and contain no tree nuts or peanuts."
  • "The following dishes are gluten-free: grilled salmon, Caesar salad (without croutons), and the risotto. All sauces are thickened with cornstarch, not flour."

This level of detail requires uploading your complete menu with ingredients and allergen information to the agent's knowledge base. With RAG-powered document search, the agent retrieves the exact information rather than guessing. At hiroi, you upload your menu PDF or ingredient spreadsheet, and the agent can answer allergen questions accurately.

The key word is accurately. Configuring the system prompt to include a disclaimer -- "Please confirm allergen information with your server upon arrival" -- adds a safety net without undermining the agent's usefulness.

Multilingual Support for Tourism

Hospitality is inherently international. A restaurant in Miami serves tourists from Latin America. A hotel in San Francisco hosts business travelers from Asia. A resort in Hawaii welcomes guests from around the world.

Language barriers create friction at every touchpoint. A Japanese tourist trying to ask about vegetarian options in broken English is a frustrating experience for both parties.

AI agents handle multilingual support natively. Modern language models can converse in dozens of languages without separate configuration for each one. A guest can type in Japanese, receive a response in Japanese, and get the same accurate information about your menu that an English-speaking customer would receive.

For hospitality businesses in tourist-heavy locations, this alone justifies the investment. No more relying on the one server who speaks Spanish, or handing a customer your phone with Google Translate open.

After-Hours Information

Restaurants close. Customer curiosity does not.

A significant portion of dining decisions happen between 9 PM and midnight -- people planning tomorrow's dinner, checking reviews, looking at menus. If your only option is "call during business hours," you lose those customers to the competitor whose website gives them answers right now.

An AI agent embedded on your website provides 24/7 responsiveness:

  • Late-night menu browsing with the ability to ask questions
  • Reservation requests that are queued for confirmation when staff arrives in the morning
  • Catering inquiries with automated information collection (date, party size, budget, dietary needs)
  • Directions and parking information for guests planning their visit

Reducing Negative Reviews

Here is a stat that should get every restaurant owner's attention: according to ReviewTrackers, 94% of diners say an online review has influenced their dining decision. And the most common complaints in negative restaurant reviews are not about food quality -- they are about service responsiveness.

"Called three times, nobody answered." "Tried to make a reservation online but never heard back." "Asked about gluten-free options and the server seemed unsure."

An agent that responds instantly, accurately, and consistently eliminates an entire category of negative experiences. It does not solve a rude server or a cold steak, but it prevents the friction that happens before a guest even walks through the door.

Feedback Collection

The end of a meal is an ideal time to collect feedback, but comment cards go in the trash and follow-up emails have a 5-10% response rate. A quick agent interaction -- "How was your experience tonight? Anything we could improve?" -- feels more natural and generates more honest responses.

This feedback loop gives restaurant operators real-time insight into what is working and what is not, without relying on public reviews as their only signal.

Getting Started for Restaurants

Implementation is simpler than most restaurant owners expect:

Step 1: Gather Your Content

Compile your menu (with allergen info), hours, reservation policy, event packages, parking details, and the top 20 questions your staff gets asked. This is your knowledge base.

Step 2: Configure the Agent Personality

Your agent should sound like your brand. A fine dining restaurant needs a different tone than a taco truck. Set the system prompt to match: formal or casual, detailed or brief, upselling or informational.

Step 3: Embed on Your Website

A single script tag on your website adds the chat widget. At hiroi, this takes about two minutes -- copy the embed code, paste it into your site template, and the widget appears.

Step 4: Monitor and Improve

Review conversation logs weekly for the first month. Identify questions the agent could not answer and add that information to the knowledge base. After a month, most restaurants find their agent handles 85% or more of inquiries without any human involvement.

The Restaurant Industry's Staffing Reality

The restaurant industry has faced chronic staffing shortages since 2020. The Bureau of Labor Statistics reports that the hospitality sector still has not fully recovered to pre-pandemic employment levels. Every task you can remove from your staff's plate -- especially repetitive, low-value tasks like answering the phone to give your hours -- is a task that lets them focus on what actually matters: the guest experience in the dining room.

An AI agent will not cook the food, clear the tables, or remember a regular's usual order. But it will stop the phone from ringing during the dinner rush. And sometimes, that is exactly what a restaurant needs.

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