---
title: "Guest questions from property information: AI Use Case"
description: "Answer guests’ routine questions about check-in, parking, amenities, policies and local directions from approved property information, with the source shown, and pass requests, complaints and anything about a specific booking to staff."
url: https://lidvizion.ai/use-cases/guest-questions-from-property-information/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · Customer support

# Guest questions from property information

Answer guests’ routine questions about check-in, parking, amenities, policies and local directions from approved property information, with the source shown, and pass requests, complaints and anything about a specific booking to staff.

[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Fguest-questions-from-property-information%2F#write) · [Automate the repeatable](https://lidvizion.ai/services/automation/)

Where it starts

## The trigger.

A guest asks a question by website chat, messaging app, email or the booking platform.

How it runs today

- Front-desk and reservations staff answer the same questions many times a day.
- Answers differ between staff and between properties.
- Questions outside office hours wait until morning.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Collect
   Gather approved property pages, policies and FAQs for each property, each with an owner.
2. 02 / Answer
   Answer routine questions from those sources only, showing where each answer came from.
3. 03 / Route
   Pass booking-specific requests, complaints, special requests and anything unclear to staff with the conversation attached.
4. 04 / Review
   Staff review a sample of answers each week and fix sources that caused wrong or missing answers.

Where people stay in control

## Approval points.

- Staff handle every booking change, refund, complaint and special request.
- Guest details are used only as the privacy policy allows.
- Each property’s information has an owner who keeps it current.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Share of routine questions answered from approved sources.

### Response time outside office hours.

### Answers corrected in weekly review.

Related

## Go deeper.

- [Automate the repeatable](https://lidvizion.ai/services/automation/): Give recurring work an owner, a trigger, and a stop rule.
- [Embeddings and feature vectors](https://lidvizion.ai/resources/basics/embeddings-feature-vectors/): How models turn text, images and records into numbers that can be compared.
- [Answer guest questions around the clock](https://lidvizion.ai/guides/answer-guest-questions-around-the-clock/): A four-step playbook to collect approved property information, answer routine guest questions with sources, pass bookings and complaints to staff and keep each property’s details current.
- [How to answer guest questions with AI](https://lidvizion.ai/answers/how-to-answer-guest-questions-with-ai/): How can a hotel, rental or venue use AI to answer routine guest questions at any hour without giving wrong information?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [Support triage and reply drafts](https://lidvizion.ai/use-cases/support-triage/): Customer support Classify incoming tickets, find the relevant answer, and draft a reply for an agent to check.
- [At-risk customer alerts](https://lidvizion.ai/use-cases/at-risk-customer-alerts/): Customer support Spot customers who may be about to leave from support tickets, usage and account notes, and give the account owner a short summary to act on.
- [Return and refund requests](https://lidvizion.ai/use-cases/return-and-refund-requests/): Customer support Check each return or refund request against your policy and order records, prepare the response and the system updates, and send anything outside policy to a person.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)