LiveReservation
Do you have a table for four at 7pm tonight?
OutcomeChecks table availability and saves the reservation
Available even during peak hours
AI voice agent for Restaurants
Let your team focus on service while a voice assistant books tables, answers menu questions and records special requests.
KVKK-ready infrastructure · 50+ languages · human handoff built in
- Reservation management
- Menu and allergen answers
- Special request capture
REAL CONVERSATIONS
The flows we build for restaurants.
All four run on the same agent: every call is recorded, the outcome is written back into your systems and, when the rules say so, handed to a person.
Live
LiveMenu and allergens
What gluten-free options do you have?
OutcomeShares menu options and allergen details
LiveSpecial request
Can you prepare a birthday cake?
OutcomeRecords the special request for the kitchen
LiveReservation change
Could you move my booking to 8:30pm?
OutcomeUpdates the reservation time and confirms it
HOW IT WORKS
Manage the guest experience, not the phone.
Here is what happens when the phone rings: the agent reads the intent, checks your systems, completes the action and — where it matters — leaves the file with a person.
Stage 01
Customer call inTable reservations
IntroductionTable availabilityChecks the floor plan and existing bookings to find a suitable table.
ResolvedParty and timing
HandoffPeak-hour handling
Table reservations
Never miss a booking, even at peak hours.
- Table availability
Checks the floor plan and existing bookings to find a suitable table.
- Party and timing
Confirms party size, date and time, then completes the reservation record.
- Peak-hour handling
When the room is full, offers the nearest alternative or joins the waitlist.
Stage 02
Customer call inMenu and requests
IntroductionMenu answersShares dish contents, prices and service hours from the current menu.
ResolvedAllergen guidance
HandoffSpecial requests
Menu and requests
Answer menu questions and capture special requests.
- Menu answers
Shares dish contents, prices and service hours from the current menu.
- Allergen guidance
Answers allergen questions using approved ingredient data only.
- Special requests
Adds birthdays, cakes and seating preferences to the reservation.
INDUSTRY OUTCOMES
The three jobs restaurants teams lose the most time to.
For each outcome we put today's method next to the agentic one, and listed the systems it touches.
Reservation managementMenu and allergen answersSpecial request capture
Peak-hour call answering
Picks up calls the floor cannot reach during service and keeps guests from waiting on the line.
TodayNobody picks up the phone during service and missed calls never become bookings.With the agentThe agent answers during peak hours and seats the guest without a wait on the line.
Systems touchedPhone lineReservation bookWhatsApp
Reservations and table planning
Checks table availability, records the booking and assigns seating according to party size.
TodayBookings are written into the book by hand and clashes are fixed mid-service.With the agentThe agent checks table availability and records the booking by party size.
Systems touchedReservation bookTable planSMS
Menu, allergen and request notes
Answers menu and allergen questions and passes special requests such as birthdays to the kitchen.
TodayMenu and allergen questions wait on the kitchen and special requests get forgotten.With the agentThe agent answers menu and allergen questions and passes special requests to the kitchen.
Systems touchedMenu dataKitchen boardWhatsApp
IMPLEMENTATION
Four phases, clear owners, verified deliverables.
Every phase has a duration, an owner and an exit condition. The next phase starts only once the checklist closes.
3–6 weeksEnd to end
2 peopleNeeded from your side
4Verified deliverables
Discovery
The service flow, table plan and menu content are mapped together with the floor team.
OwnerFlavis + restaurant owner
- Exit criteria
- Service flow and table plan mapped
- Menu and allergen list approved
Build
The reservation book, table plan and menu data are loaded into the assistant.
OwnerFlavis + floor manager
- Exit criteria
- Reservation book import verified
- Table plan tested on a peak-hour case
Controlled launch
The assistant answers only outside opening hours and every booking is checked by staff.
OwnerFlavis + floor team
- Exit criteria
- Closed-hour bookings checked daily
- Menu answers cross-checked with kitchen
Improvement
Missed calls and no-show rates are reviewed every week with the restaurant manager.
OwnerFlavis + restaurant manager
- Exit criteria
- Missed-call list reviewed every week
- No-show follow-up flow updated
OTHER INDUSTRIES
Restaurants
Let’s build your first AI operation.
Tell us how your operation works and we’ll map the use case and a practical path to production.