AI receptionist for small business: calls, bookings and handoffs
What an AI receptionist does on a real call, the rules that apply, a sample greeting and a pass/fail checklist to launch one safely.
Guest surveys, in-stay messages and call notes grouped into themes your lean front-desk team can act on each week.
Guests tell you what they think in post-stay surveys, WhatsApp messages and calls to the front desk, and by the time it shows up in an online review, it is too late. This edition groups that feedback into named themes, such as check-in waits or room temperature, and reads them against stay details. Your team gets a clear weekly picture and an alert when a theme grows.

AI Customer Feedback Intelligence for Hotels & Hospitality groups what guests say in post-stay surveys, WhatsApp messages and call notes into named themes, such as check-in waits or room temperature, and reads them against stay details from your property management system. Alerts flag a theme that is growing. Your team sees what to fix first.
In hospitality, small irritations become public reviews quickly, and reviews shape future bookings. Front-desk teams hear the same complaints again and again, but there is rarely time to step back and see the pattern. This edition does that reading for you and turns scattered comments into a short list of fixes. The written scope sets out the feedback sources, the property system connection and the weekly report before you order.
Post-stay surveys, WhatsApp messages and call notes are grouped into named themes, such as check-in waits or room temperature. A recurring complaint becomes visible as one theme.
Themes are read against stay details from your property management system. A pattern tied to certain room types or dates can be traced and fixed.
Alerts flag a theme that is growing, sent to email, Slack or a web dashboard. Your team sees what to fix first, before more guests are affected.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,900 |
| Express | 15–25 working days | $4,600 |
| Rush | 10–20 working days | $5,250 |
Before you start: Record your current survey score and review ratings. List the complaints your team believes guests raise most.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build is a single payment. Afterwards it runs at roughly $20 to $150 a month in your own accounts for AI model usage and hosting or scheduling; busy seasons with more guest messages sit higher in that range.
PMS, survey and WhatsApp costs stay with your existing providers, and AI usage during build and testing is billed to you.
Ask about running costsPulling in public review sites as a fourth source, reporting several properties separately, or more than 25 themes needs a written Change Quote. Add a note at checkout and we send it to you. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionMonthly maintenance includes monitoring, fixes, updates, a health report and change hours for things such as a new seasonal theme or an updated alert. The hours scale with your build. Maintenance starts after the 30 days of support.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A guest experience platform bills monthly per property | A mystery-guest or research firm charges per study | Ours is one fixed price, shown before you buy |
| Sources | Usually its own surveys only | A sample of stays | Ours combines surveys, messages and PMS stay details |
| Breakdown | By property | By study question | Ours splits themes by room type, stay length or booking source |
| Alerts | Score drops | None between studies | Ours alerts when a guest theme grows past your threshold |
Up to three read-only sources. Most hotels connect their guest survey tool or WhatsApp message history, the PMS for stay details, and one more such as the booking engine or a sheet of call notes. Public review sites would be a fourth source and need a Change Quote.
Yes, when a comment can be matched to a stay in your PMS, for example through the reservation or the guest's contact details. Themes can then be read by room type, length of stay or booking source. Comments that cannot be matched are still themed, just without that breakdown.
No. This build reads feedback and reports themes; it never messages guests or posts replies. For drafted replies to reviews, see AI Review Response Agent for Hotels & Hospitality and for routing complaints as they arrive, see AI Customer Complaint Agent for Hotels & Hospitality.
As themes in their own right. Requests such as extra pillows, late checkout or room changes are counted and trended, so you can see which ones rise at certain times or in certain room types. That helps housekeeping and the front desk plan staffing and stock.
Roughly $20 to $150 a month in your own accounts for AI model usage and hosting or scheduling. A larger property with heavy WhatsApp traffic sits nearer the top of that range. The build is a one-time payment, and maintenance is optional.
The clock starts once your intake is complete and verified. Your fixed delivery date for standard, express or rush is shown before you buy, and faster speeds keep the same scope, testing and handoff. Gather PMS access and three months of guest feedback before ordering, since intake is due within 72 hours.
Order AI Customer Feedback Intelligence for Hotels & Hospitality and surveys, messages and call notes become weekly guest themes tied to stays, so you fix issues before the next review.


Handles pre-arrival and in-stay guest questions across channels.
