Cutomer Story  |  Hospitality

How Viva Brazil turned missed calls into £7,400 of new revenue in its first month

Aila answers every call and books straight into TableFox, so the team can focus on the guests in front of them.

£7.4k
additional gross revenue in month one
3,400%
ROI in the first month
60%
of front-of-house call handling time recovered
5%
uplift in bookings in the first three weeks
2wks
from contract sign-off to go-live
01
About Viva Brazil

A restaurant built on service.

Viva Brazil is a well-established Brazilian restaurant in Cardiff, with a loyal customer base and a reputation for high-quality service.

Like many hospitality businesses, it has faced sustained cost pressure over the past two years, from rising national living wage obligations to increased business rates, and needed to run more efficiently without compromising the guest experience.

Industry

Hospitality: restaurant

Integration

TableFox

Outcomes

Grow your business, improve customer experience

Go-live

2 weeks

02
The challenge

Packed floor.

Ringing phone.

To manage overheads, reception hours were reduced and inbound calls were shared across the management team. On paper it worked. In practice, calls were missed during service, and customers who couldn’t get through started emailing head office to book.

Mystery diner reports returned consistently poor scores for reception, with assessors simply unable to reach anyone on the phone. The problem was never the team. Staff in a busy service are rightly focused on the guests in front of them.

“During peak service periods, balancing guest interaction with answering incoming calls became extremely challenging. Prioritising excellent customer service on the restaurant floor often meant calls could not be answered promptly.”

Daniel, Operations Manager, Viva Brazil

Guests first. The phone last.

03
The turning point

A booking tool the team could finally trust.

Viva Brazil had used a third-party phone booking tool as a stopgap. It was robotic, inflexible, captured limited booking information and didn’t connect to the restaurant’s booking system. Aila was different from the first test call.

Before

With Focus AI

Answering

Calls missed during service

Every call answered

Booking details

Limited information captured

Name, contact, party size, notes and allergies

Booking system

No integration

Live in TableFox as the call ends

Caller experience

Robotic and inconsistent

Natural, warm and consistent

Staff time

Managers juggling calls

60% of call handling time recovered

“I didn’t expect customers booking large group events to feel comfortable interacting with AI. Seeing someone confidently arrange a 28-person birthday booking through the system was a real turning point.”

Daniel, Operations Manager, Viva Brazil

04
Solutions

Built around the way the restaurant works.

A bespoke integration between Aila and TableFox, rather than a packaged product.

Aila answers inbound calls, handles bookings, captures customer information and manages common enquiries in a natural, conversational tone. It is GDPR compliant, responds only from approved sources and has built-in guardrails: if it can’t answer, it says so.

Every call answered

However busy the floor, every caller gets the same warm, unhurried response.

Booked straight into TableFox

Bookings land in TableFox in real time, with nothing left in a holding queue.

Every call answered

Allergy and dietary information is taken on the call and passed through on every booking.

How a booking works

01

A guest calls and Aila answers

02

Aila takes name, contact details and party size

03

Notes, allergies and dietary needs are captured

04

The booking is live in TableFox as the call ends

05
The delivery

Tested properly. Live in two weeks.

From contract sign-off to go-live took two weeks.

Before committing, Daniel and his team ran a structured demo, making test bookings to check both the quality of the conversation and the TableFox integration. What struck them was how natural it felt, and return on investment followed within weeks rather than months.

1.

Test

Test bookings made through a structured demo to prove the conversation and the integration.

2.

Integrate

A bespoke TableFox integration built around how the restaurant takes bookings.

3.

Go live

Live within two weeks of sign-off, answering every inbound call.

06
The results

Revenue up. Staff time back. Every call answered.

In its first three weeks, Aila delivered a 5% uplift in bookings and around £7,400 in additional gross revenue, an ROI of over 3,400% in month one.

About 60% of the time previously spent on front-of-house call handling has been recovered, so staff on the door at busy weekends focus on seating guests. Booking errors are eliminated, and allergy and dietary information is captured and passed on every time.

Every caller gets the same warm, unhurried experience, whether it’s a quiet Tuesday afternoon or a Saturday night during a major sporting event. The business expects Aila’s booking uplift to reach 10% as the deployment matures.

The biggest booking yet

A party of 28, end to end.

Aila took card details, captured birthday notes and confirmed the booking without any human involvement. The party came in.

Watch

Hear it from Viva Brazil.

07
AI adoption in the future

Keep moving forward.

Viva Brazil's AI  already answers order questions on its own. The next step is helping before customers even ask.

AI adoption isn’t one big switch. With the agent acting on live order data, the next gains come from bringing it earlier into the customer journey.

Essential

Reliable foundations

Connected

Systems and teams joined up

Optimised

Data improving how work gets done

Intelligent

AI acting, not just reporting

Viva Brazil Today

Where the next gains could come from

Grow your business

Sell more before guests arrive.

In-call upselling is already in discussion: offering wine packages and booking extras on the call, using the TableFox integration that’s already in place.

How Focus AI could help: Aila, in-call upselling
Keep moving forward

From 5% towards 10% of bookings.

The business expects Aila’s booking uplift to reach 10% as the deployment matures.

How Focus AI could help: Aila, ongoing optimisation
Improve customer experience

Hear what every caller wants.

Patterns across every call, from popular questions to busy times, could help shape service and staffing.

How Focus AI could help: AI Conversational Intelligence
Work smarter

Give the team even more time back.

More of the common enquiries that still reach staff could be handled on the call, end to end.

How Focus AI could help: Aila, intelligent automation

More customer stories

What would every answered call be worth to you?

Talk to our experts about Aila, for a single site or a national estate.