Industries/Restaurants

AI and automation, from enquiries to closing.

We implement AI to organize requests, interpret shift notes and draft source-based summaries. Automation routes reservations, brings files together and calculates totals for staff review.

Talk about your businessExplore a business workflow
AI summarizes the shift note; sales totals are calculated from the files.

Mesa do Mar · Fictional concept · illustrative interface

During busy service, the right details matter.

01

Requests without context.

Important details get lost between messages, front-of-house staff and the team doing the work.

02

Different information in each channel.

Menus, hours and policies need an approved source to avoid inconsistent answers.

03

Closing reports scattered across files.

Sales and cancellation exports need combining and checking before they support decisions.

From closing files to a shift summary.

AI summarizes the shift note; sales totals are calculated from the files. Staff check the outstanding receipt and review the summary.

Food photography, menu and restaurant information with a clear reservation enquiry path.
Fictional concept · illustrative interfaceFor the customerFood photography, menu and restaurant information with a clear reservation enquiry path.
AI summarizes the shift note; sales totals are calculated from the files.
Fictional concept · illustrative interfaceFor the teamAI summarizes the shift note; sales totals are calculated from the files.

A project that starts with your operation.

AI turns shift notes into a source-based summary. Automation validates files, calculates totals and routes outstanding items for review.

AI summarizes the shift note; sales totals are calculated from the files.
Fictional concept · illustrative interfaceFor the teamAI summarizes the shift note; sales totals are calculated from the files.

Applications we can develop

  • Organize enquiries and reservationsAI identifies intent and details; staff confirm terms and availability.
  • Interpret shift notesNotes become an AI-prepared summary with sources and open items.
  • Consolidate the figuresRules validate files and calculate sales; AI does not invent totals or causes.
  • Route outstanding tasksAutomation assigns tasks and requests review from the responsible person.
Customer service is part of it: explore an example

One illustrative customer-service application among the projects possible for this industry. A fictional restaurant: the guest reserves a table and asks the kitchen to check an allergy.

Casa Brasa
Reservations

Thursday, September 17

M14
T15
W16
T17
F18
S19
S20
14:0015:0016:00
Suggested tableRafael SouzaTable for 4 · 8:00 pmTerrace / 4 guests
Team availableConversation and reservation, together.
14:32 ● ▰
a+
Casa BrasaFront of house
Thu, Sep 17
Good afternoon! Do you have a table for 4 on Thursday at 8 pm?14:32
Good afternoon, Rafael! We have a table for 4 at 8 pm on the terrace. Shall I reserve it?14:32
Message
Demonstration · fictional data
A table request arrives. The reply goes out.Illustrative workflow. Integrations and behavior are agreed for each project.
Open the customer-service demonstration
AI summarizes the shift note; sales totals are calculated from the files.

Your team confirms what can be fulfilled.

Availability, changes, dietary requirements and exceptions require reliable information and team involvement. The project defines when to collect a request and when to confirm it in the system.

Let’s talk about your project.

Let’s understand where work repeats and design a workflow that helps your team.

Bring an example of the task, the tools you use and what you would like to improve.

Let’s discuss your project

We discuss the result you need and define the next step.

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Frequently asked questions