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AI for Restaurants

AI for restaurants that recovers missed calls and books reservations.

Voice agents that pick up the phone · in any language, 24/7.

Restaurant AI fails when it does not sound human. A voice agent that callers can immediately identify as a bot defeats the purpose · they hang up and call back, hoping a person answers. We build agents that sound like your best front-desk person.

Our voice agents speak 30+ languages, switch mid-conversation when the caller switches, integrate with reservation systems that pre-date the smartphone, and learn from every call. The first engagement typically pays for itself within months from recovered revenue alone.

From phone answering and reservation booking to order taking and customer feedback, the wins are measurable: calls answered, revenue recovered, average booking time slashed.

What the numbers look like
99.4%
call answer rate
$310k
revenue recovered / year
92s
avg booking time
What we build for restaurants

Four places to start.

Each of these has shipped in production for a real restaurants customer. Pick the closest match to your situation.

USE CASE · 01

24/7 phone answering

Every call gets answered · in the caller's language, in your brand voice, with the menu and the reservation system in front of it. No more voicemails. No more missed revenue.

$310k/year recovered across 40 locations
USE CASE · 02

Reservation and booking

Books into OpenTable, Resy, your in-house system, or that 10-year-old reservation software the previous CTO inherited. The agent handles special requests, dietary needs, and large parties.

USE CASE · 03

Order taking and delivery coordination

Take phone orders, route them to the kitchen display, and coordinate with delivery platforms. The agent never calls in sick, never gets grumpy on a Saturday night.

USE CASE · 04

Customer feedback and recovery

Follow up after visits, capture complaints before they hit Yelp, and route the ones that need a human to the right manager with context attached.

How an engagement runs

Three steps. No surprises.

The same shape as every Fornext engagement · from restaurants to banking to restaurants. You see real progress in weeks, not quarters.

01

Train on your real calls

We listen to a sample of your past calls (anonymized) to learn your brand voice, your menu, your reservation quirks. The agent starts sounding like you from week one.

02

Integrate without ripping anything out

Your existing reservation, POS, and CRM systems stay. We write small connectors that plug the voice agent into what you already have. No six-month replatforming.

03

Improve every week

The agent retrains from new calls automatically. After a quarter, it handles edge cases your team did not anticipate at launch. The system gets measurably better over time.

Honest answers

The questions restaurants leaders ask us.

These come up on every restaurants discovery call. The answers are real, not sales-deck answers.

Have a different question? Ask us

Will the agent really sound human?

Yes. We use the latest voice models trained on your real call recordings. Most callers do not realize they are talking to AI · and those who do, do not mind, because the call gets handled cleanly.

What about multiple languages?

The agent detects the caller's language automatically and switches mid-conversation when the caller switches. 30+ languages on day one.

Does it integrate with our reservation system?

Yes. We have integrated with OpenTable, Resy, and several in-house systems. For legacy software with no API, we add a small connector that translates the agent's actions into the system's native commands.

What happens when something goes wrong?

The agent knows when it is out of its depth. It escalates to a human with full context attached · the manager sees the transcript and picks up where the agent left off.

Ready to start?

Talk to us about your restaurants project.

One short call. We'll tell you what we'd do, what it would take, and what it would cost · even if we end up pointing you somewhere else.