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Email response suggestions for reception

Prepare a response before a member of staff starts writing

AI analyses the full email thread and the hotel’s approved knowledge, then creates a response beside the message. A member of staff can edit, approve or reject it — nothing is sent without their decision.

Example in action

The response takes account of both the question and previous arrangements

The assistant does not create a generic template. It reads the full thread, identifies open questions and uses the property’s current rules.

Guest message

Late arrival and parking space

The guest refers back to an earlier booking, confirms arrival after 22:30 and asks whether a parking space has been reserved for them.

existing thread2 questionsone detail to check
Draft

Complete response for approval

AI provides the late-arrival procedure but marks the parking-space status as requiring verification by a staff member.

  • reference to the earlier conversation
  • ready-to-use knowledge-based passage
  • clear indication that information is missing
Module scope

The suggestion supports staff — it does not send messages for them

The module reduces the time spent writing repetitive replies and keeps information consistent. The final meaning, tone and sending decision always remain with the staff member.

Reads the entire thread

It considers earlier questions, arrangements and the language of the conversation instead of replying only to the last sentence.

Creates a ready-to-use draft

It prepares a concise reply that follows the hotel's information and communication style.

Flags missing information

It highlights information that needs checking and does not turn uncertainty into a definite confirmation.

Process

How is a response suggestion created?

1

Analysing the correspondence

AI reads the current message, previous arrangements and unanswered questions.

2

Checking the knowledge

It links the topic to a current procedure, offer or piece of information approved by the hotel.

3

Preparing the draft

It structures a reply in language and a tone suited to the conversation, flagging missing information.

4

Staff decision

The receptionist edits, approves or rejects the suggestion before sending it.

Data and outcome

The thread and approved knowledge shape the reply

The assistant works alongside the message in the email client. It uses the conversation history and sources available under the user's permissions.

Input

What does AI use?

  • current message and thread history
  • approved hotel knowledge
  • language and tone standard
  • staff member's permissions
Output

What does the team receive?

  • draft reply
  • flagged information requiring verification
  • staff decision recorded in the panel
Control

Every email requires deliberate approval

The suggestion can be changed or rejected. The staff member checks the details relating to the specific guest and is responsible for initiating the sending process.

The decision remains with the team

The receptionist chooses whether to use the draft, edits the content and always approves the message before sending it.

Where does this module end?

The module does not send messages automatically, change bookings, grant discounts or exceptions, or confirm information that is not present in the sources.

Outcome

Less writing without losing control of correspondence

Faster replies

The staff member starts with a ready-made draft instead of a blank message.

More complete messages

AI keeps track of every question in the thread and does not overlook open issues.

Controlled sending

The reply reaches the guest only after it has been checked by a staff member.

Data and integrations

The assistant works directly in the email client

The AI interface is available alongside the message, while the Central Communication Hub records the case status and the team's decision.

Gmail or OutlookAI in the email clientCentral Communication HubHotel knowledge base
Content hub

Related process elements

FAQ

Frequently asked questions

Does AI send emails automatically?

No. This module only prepares a suggestion, and a staff member always approves sending it.

Does the suggestion take earlier messages into account?

Yes. It analyses the entire available thread to preserve the context and answer open questions.

What happens when information is missing?

AI flags the missing information and asks the staff member to verify it instead of making up an answer.

How does this differ from email automation?

Suggestions always require approval. Email automation can send replies independently, but only within a routine scope approved in advance.

Give reception ready-to-check replies

We will identify repetitive types of messages and prepare rules that allow AI to reduce the workload without taking over decision-making.

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