From enquiry and discussions to a response ready for review
The suggestion is not a template detached from the conversation. AI uses what the customer has already written, hotel-approved knowledge, and the available profile and lead brief. When important information is missing, it does not fill in the gaps — it flags the omission and suggests the next step.
Good morning, we are looking for a venue for a two-day meeting for around 70 people in October. We need conference facilities and an evening team-building event. Would the property work for people travelling from Warsaw and Wrocław?
Good morning Anna, thank you for your message. For groups combining conference facilities with an evening team-building event, we can prepare a cohesive stay plan. As attendees may be travelling from Warsaw and Wrocław, it is also worth considering accommodation.
To check specific options and prepare a tailored proposal, please also provide the exact dates and an approximate number of rooms required.
Availability and pricing were not added. This data was not provided by the relevant module.
What responses does AI prepare?
The module supports the entire sales correspondence process, not just the first response to an enquiry. The scope and tone are defined for each hotel and type of sale.
First response
It organises the customer's needs and sets out the right next step without overlooking important details.
Clarification
It prepares a natural question or request for confirmation when missing information affects further handling.
Response to an objection
It helps address questions about terms, the scope of service or the property's suitability for a specific group.
Summary and next step
It gathers the points agreed in the conversation and suggests a clear action: a call, checking the data or preparing an option.
How is a response draft created?
Reads the conversation
It identifies the customer's question, previous agreements, objections and open topics in the current thread.
Selects the right context
It combines approved hotel knowledge with the available company profile and structured lead brief.
Builds a response with sources
It prepares a suggestion in the agreed tone, indicates the context used and flags uncertain data.
Leaves the decision to the salesperson
The employee can shorten, change or reject the content. Every message requires their approval before sending.
AI does not create responses from memory
Each type of data has a different role. The hotel specifies which sources may be used and which information should always require confirmation.
Current thread
The customer's question, previous responses, objections, attachments and points already agreed.
Hotel knowledge
Approved information about the property, services, sales rules and acceptable communication tone.
Company profile
Research findings: facts about the organisation and clearly labelled hypotheses that help tailor the response.
Lead brief
Needs, dates, scale, participants and missing information gathered earlier in the process.
It uses current data only when that data has been provided
Response suggestions do not replace the availability or pricing modules. They can use a current result from the PMS, booking engine or another approved source, but they do not check it independently.
AI can present it clearly
It includes the provided options, dates or booking links together with their source and data freshness.
Source · time read · data scopeAI does not guess
It does not promise availability, calculate a price or insert a link. Instead, the response suggests checking or asking the right follow-up question.
Missing data · next step · salesperson's decisionAI prepares. The salesperson always approves.
The module creates a draft in the team's work tool. It does not send messages independently, and every suggestion can be changed, expanded or rejected.
You define the knowledge sources, communication style, mandatory disclaimers and the situations in which AI should ask for a decision rather than write a response.
It does not check availability, create quotes, send messages automatically or update the CRM. These tasks are handled by separate modules or approved integrations.
A consistent response, ready when it’s needed
The salesperson sees the conversation, hotel knowledge, company profile and lead brief in one place.
A starting point for the response is ready without having to piece together information from multiple sources again.
The suggestion is based on approved knowledge rather than improvised wording.
Every message remains a human decision, with the option to edit it before sending.
The module starts with messages and knowledge, then grows with your process
The first version can be launched using correspondence and approved hotel knowledge. Research, the brief, availability data and contact history provide valuable context when their results are already available in the process.
How does this response use the earlier modules?
Frequently asked questions
Does AI send responses automatically?
No. The module only creates a draft. The salesperson can edit it and always approves sending it.
Is a PMS or booking engine required?
No. The basis is the current conversation and approved hotel knowledge. A PMS or Booking Engine can only enrich the response with data provided by a separate module.
What happens when availability or prices are missing?
AI does not provide data without a verified source. It flags what is missing and suggests checking, asking for more information or taking the next step in the process.
Can the module use company research?
Yes, if the profile is available. Verified facts and hypotheses remain separate, so the salesperson knows what needs checking.
How is this different from asking a lead follow-up questions?
Lead follow-up questions build a complete brief by identifying missing information. Response suggestions use the available context to prepare the right response for the conversation.
Can the hotel set the response style and limits?
Yes. Implementation includes defining approved sources, communication tone, escalation rules and the information AI must not formulate independently.