Success Stories›Côte Brasserie
United Kingdom · Hospitality
Voice AI implementation story

Côte Brasserie creates 3,000 monthly reservations at a 76% conversion rate with voice AI.

Côte Brasserie connected a voice assistant to the reservation journey so customers could receive availability and book without waiting for a restaurant employee.

Reported outcome3,000 reservations each month
Côte Brasserie restaurant featured in the official PolyAI customer storyVoice AI success storyCôte Brasserie3,000 reservations each month
The business problem

What Côte Brasserie needed to change.

Reservation calls arrived while restaurant employees were serving guests and could not always reach a person quickly. Every delay risked losing a ready customer at the point of booking.

The voice AI implementation

How Côte Brasserie put conversational AI into the customer journey.

Côte Brasserie connected a voice assistant to the reservation journey so customers could receive availability and book without waiting for a restaurant employee.

The system answers common questions and completes suitable reservation calls while restaurant teams remain focused on service.

Where people remained essential

The human team kept the work that required judgement.

Restaurant employees remained focused on hospitality and handled exceptional requests. The voice Agent checked live availability and completed straightforward reservation journeys.

The reported outcome

3,000 reservations each month.

PolyAI reports 3,000 monthly reservations, a 76% booking call conversion rate and 72% fewer calls reaching employees.

The operating lesson

What another service business can learn from Côte Brasserie.

The best automation target is a frequent journey with a clear successful outcome. For Côte Brasserie, a live reservation provided both a better caller experience and a measurable reduction in staff interruption.

This example shows how voice AI and conversational AI can support a real customer journey. Every business should still establish its own baseline, operating boundaries and commercial case before implementation.

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