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Hospitality · AI SOLUTIONS

AI automation for hospitality.

More time for your guests.

We organise booking requests, guest messages and supplier documents. Your team handles guests and approves the important decisions.

We start with how your people work.

AI-generated illustration of a hotel reception and restaurant team

People look after your guests. Automation helps with the organisation.

Concept illustration · generated with AI
BUILT FORHotelsguesthousesrestaurants and teams managing several locations.

CHOOSE WHAT TAKES UP YOUR TIME

What can you automate in hospitality?

Choose a problem below to see what can happen automatically, what needs checking and who receives the alert. We adapt each workflow to your hospitality team's apps and rules.

Choose what to automate

Choose an example, or watch the steps change automatically.

SOUND FAMILIAR?

“A table for six this Friday?”

The restaurant is busy. A guest has sent a message, but the time is missing and nobody has picked up the request.

HOW IT WORKS Click a step to see what it does
See what runs automatically and where a colleague helps.
ReadyNeeds reviewNotify the colleague ↗
WHO DOES ITCustomer / teamStep 1 of 6
WHAT HAPPENS

The restaurant is busy. A guest has sent a message, but the time is missing and nobody has picked up the request.

WHAT YOU GET

The guest message, name, date and party size.

WHAT HAPPENED

Booking time missing

The workflow alerts the right colleague. They decide what happens next.

Fictional example · WhatsApp Business, if we choose this channel
Colleague's phone · waiting
—:—Reception team

No notifications yet.

The message appears automatically at the WhatsApp step.
SIMULATION · NO REAL MESSAGES

Booking requests

One booking request with a named owner and the missing details clearly marked.

What we connect and what a colleague checks
Where the information comes from
The guest message, name, date and party size.
Automation steps

Collect the information. The guest message, name, date and party size.

Booking requests. Read the details and show what is missing. Prepare a question about the time; do not guess.

Your team checks. A colleague checks availability before confirming the table.

What the team receives
One booking request with a named owner and the missing details clearly marked.
What a colleague checks
A colleague checks availability before confirming the table.
Let's discuss booking requests

SEE A WORKFLOW IN ACTION

“A table for six this Friday?”

The restaurant is busy. A guest has sent a message, but the time is missing and nobody has picked up the request.

01Request02Prepare03Check04Notify
How would this work for us? ↗Demonstration with fictional data. Implementation is adapted to your apps and rules.
ONE REQUEST. A CLEAR NEXT STEP.
Hospitality
https://demo.mr-automation.pro/flux/DEMO-104
MR Automation · HospitalityDEMO-104
ILLUSTRATIVE REQUEST

“A table for six this Friday?”

SourceAuthorised email
StatusReceived
The restaurant is busy. A guest has sent a message, but the time is missing and nobody has picked up the request.
The request enters the workflow.

The guest message, name, date and party size.

Simulation · fictional data

CLEAR ROLES BEFORE IMPLEMENTATION

Less routine work.
People stay in control.

We agree on what can happen automatically, what needs checking and who owns each exception.

Discuss your process with us ↗
AUTOMATION HANDLES

Collect information from authorised sources

Prepare data and check agreed rules

Send exceptions to the responsible colleague

YOUR TEAM HANDLES

Unclear information and exceptions

Important business decisions

Approval before the final action

HOW WE START

The first pilot has
a clear scope.

Start with one recurring process and a controlled set of examples. Measure preparation time, corrections and exceptions before expanding.

  1. 01 / UNDERSTAND

    Walk through the current process.

    We review an example, your apps and the manual steps. Together, we decide what to automate.

  2. 02 / TEST

    Build a workflow with a clear scope.

    We use a controlled data set, including incomplete, duplicate and ambiguous cases.

  3. 03 / COMPARE

    Measure before expanding.

    We compare time, corrections and manual work. Your team decides whether the pilot helps.

Automation connected to your apps.n8n · APIs · AI models · rule-based checks

Email, shared folders, spreadsheets and your business software. We check access, available APIs and import/export formats before promising a connection.

QUESTIONS · Hospitality

Before
the first workflow.

Can AI confirm a booking on its own?

In these examples, it collects the guest details and prepares the next step. A colleague checks availability, opening hours and special requests before confirming.

What happens when a supplier invoice does not match the delivery?

The workflow shows the quantity or price difference and alerts the responsible colleague. It preserves both documents; a person decides whether to approve the invoice.

Can you work with our existing software?

We check the version, available APIs and import/export options first. We confirm compatibility using examples before proposing the integration.

Does AI make the final decision?

We agree on approval points with your team. Unclear information and important decisions go to a person.

What happens when information is missing?

The workflow preserves the source, marks the missing detail and alerts the responsible colleague. It does not invent values.

How much does a pilot cost?

The price depends on the apps, data access, volume and checks. We agree on scope and costs after reviewing your process.

TELL US WHERE WORK REPEATS

From this example
to your process.

Briefly describe how you work. We'll discuss what can be automated and what the first pilot would involve.

Discuss your team's workflow ↗Scope and cost are agreed after reviewing the process.
WHAT HELPS US UNDERSTAND
  1. Which apps you use today
  2. One anonymised example of the process
  3. Where you copy data or wait for an answer