AI hotel software that runs the whole property
Hotelary.ai is AI hotel software — an AI-powered PMS and AI-native hotel operating system for independent hotels, boutique properties, resorts and multi-property groups. It is hotel management software in which the artificial intelligence does operational work rather than reporting on it: answering guest enquiries against live availability, quoting and confirming rates, dispatching housekeeping, posting charges and closing the books.
Ten layers of hospitality software — PMS, reservations, guest AI, revenue, distribution, operations, housekeeping, POS, finance and CRM — run on one operational database under one AI control layer, in one subscription.
WhatsApp-first. AI-administered. Built for hotels.
Also described as AI hotel software, AI hotel management software, AI-powered PMS, AI PMS, AI property management system, hospitality AI software, AI hotel operating system, AI hotel operations software and hotel AI platform.
Built as an agent architecture, not extended into one
Hotelary was built as an agent architecture from the first commit. A kernel schedules work, ranks which capability should handle it, and records how well each one performed — the modules are capabilities that kernel orchestrates, not applications with an assistant bolted on.
CogOS
Agent kernelThe orchestration kernel. It schedules work, leases actions to the capability best placed to run them, ranks capabilities on their recorded performance at each class of task, and explores deliberately where its evidence is thin. Every decision is inspectable in an operator console that answers "why did it decide that?"
HAAVIS
Guest surfaceThe guest-facing agent on the hotel's own domain — conversational booking against live availability, rate quoting, payment, split-stay, and a media and availability experience. Voice or text, in the guest's language.
HAAVIS Room Pad
In-room voiceA device-authenticated in-room voice surface. Guests speak; the pad takes service and F&B orders, confirms paid orders on-screen, and posts them to the folio. Ambient display that shifts with the time of day and weather.
HAAVIS Admin
Staff-side agentThe agent staff work through. It runs onboarding, configures the property, and handles operational instructions conversationally instead of through forms.
HAAVIS Pro
AI visibilityPublishes the property as a structured, machine-readable entity across ChatGPT, Perplexity, Claude, Gemini, Bing and Google, on the hotel's own domain, and reports the referrals and bookings it produces.
AI metering
Cost controlPer-property AI spend measurement with model routing, quality tracking and a credit wallet. You can see which model handled what, how well it performed and what it cost.
Why retrofitted AI behaves differently
Every established hotel platform is reaching AI by extending a system designed before it. That is not a criticism of their engineering — it is a constraint of the architecture, and it shows up in specific, checkable places.
| AI added to an older design | Hotelary — agent-native | |
|---|---|---|
| Where the AI sits | An assistant calls the product's public API, the same one a third party would use. It can only do what that API already exposed, so anything the API never anticipated is out of reach. | The agent runs inside the system, against the operational tables. If a human at the front desk can do it, the agent can do it, because they are the same code path. |
| What happens when it is unsure | A single model handles everything and either answers or hands off. Confidence is a property of the prompt, not of the system, so the same question can be answered well one day and badly the next. | A kernel ranks candidate capabilities on their recorded success at that class of task and routes accordingly, exploring deliberately where it has thin evidence. Uncertainty is a first-class state, not a failure. |
| Whether you can audit a decision | A log line saying the assistant replied. Why it chose that answer is not recoverable, because nothing recorded the alternatives. | Every action carries the capability that ran it, why it was selected over the alternatives, and the outcome. The operator console answers "why did it decide that?" directly. |
| What a quote costs you | The assistant reads a cached or synced copy of availability. The rate it quotes and the rate the folio bills can disagree, and reconciling them is manual work. | The quote is computed by the same pricing engine the folio uses, against the same row. They cannot disagree, because there is only one of each. |
| What AI actually costs | A flat per-room or per-seat fee. Model spend is the vendor's problem and the margin is priced into your subscription whether you use it or not. | Per-property AI metering with model routing and a credit wallet. You see what was spent, on what, and unused capacity is not billed. |
The ten layers, on one database
Published models of the hotel AI stack treat these as separate product categories, each bought from a different vendor and joined by integrations. Every layer reads and writes one operational database under one AI control layer. There is no integration boundary between the PMS, the guest AI, the channel manager and the folio — a rate quoted by the WhatsApp agent is the same row the folio bills against.
PMS
Front desk, reservations, folios, check-in, night audit — the operational core every other layer writes to.
Reservations
Direct booking engine with live availability, dynamic rates, multi-room and group bookings.
Guest AI
A WhatsApp AI agent that answers, quotes live rates, takes payment and books — not a scripted chatbot.
Revenue
Rate shopping, occupancy-band pricing, ADR/RevPAR intelligence and AI pricing advice.
Distribution
Channel manager syncing rates and inventory to Booking.com, MakeMyTrip, Agoda and Expedia.
Operations
Guest requests, maintenance, transport and complaints on one ticket spine with SLA enforcement.
Housekeeping
Live room status, WhatsApp task assignment, photo-verified completion, linen and supply tracking.
POS
Restaurant, bar and room-service POS with KDS, posting charges straight to the guest folio.
Finance
Tax-compliant invoicing, multi-tender payments, GST slab detection and accounting exports.
CRM
Unified guest profiles across stays, segments, WhatsApp broadcasts and loyalty.
Who this AI hotel software is built for
One system from a 4-room guest house to a 400-room hotel — the same agent kernel, the same operational database, the same subscription model. The comparison pages set it against the platforms it is most often evaluated alongside.
How it compares
Fair, dimension-by-dimension comparisons — including what each alternative does better than Hotelary, and the properties that should choose them instead.
AI hotel software: common questions
What is AI hotel software?
AI hotel software is hotel management software in which artificial intelligence performs operational work rather than only reporting on it — answering guest enquiries against live availability, quoting and confirming rates, assigning housekeeping tasks, flagging revenue anomalies and routing service requests. It differs from conventional hotel software, where a human performs every action and the software records it. Hotelary.ai is an AI-native example: the AI reads and writes the same operational database as the front desk.
What is an AI-powered PMS?
An AI-powered PMS is a property management system with artificial intelligence built into its core rather than integrated alongside it. A conventional PMS records reservations, folios and room status. An AI-powered PMS can additionally act on them — take a booking from a guest conversation, price a room against live demand, or dispatch a housekeeping task — without a human keystroke. Hotelary.ai is an AI-powered PMS with reservations, channel management, POS, housekeeping, finance and CRM in the same system.
What is an AI hotel operating system?
An AI hotel operating system is a single platform where every hotel function shares one operational database and one AI control layer, instead of a PMS connected by APIs to a separate channel manager, POS, messaging tool and revenue system. The practical difference is that there is no integration boundary: a rate the AI quotes to a guest is the same row the folio bills against, so the quote and the invoice cannot disagree.
Is AI hotel software suitable for a small independent hotel?
Yes — and it is not only for small properties. Hotelary runs from 4 rooms to 400 on the same agent kernel. Small properties feel it first because the constraint is staff hours rather than software budget. A hotel of any size struggles to staff a reservations desk around the clock, and a large share of guest enquiries arrive outside front-desk hours. AI hotel software answers them; conventional software records them the next morning, after the guest has booked elsewhere. The same architecture serves a 4-room guest house and a 400-room hotel — what changes is volume, not the system.
How is Hotelary different from a hotel chatbot?
A chatbot answers questions and hands the guest to a booking engine. Hotelary's agent completes the transaction: it reads live availability, quotes the applicable rate, takes payment and writes the reservation into the PMS, because the PMS is the same system. Products like HiJiffy, Asksuite and Canary are strong AI layers that integrate with whatever PMS you run; Hotelary replaces the PMS instead. Which is right depends on whether you are keeping your current system.
Which hotel functions does Hotelary cover?
PMS and front desk, reservations and direct booking, guest AI on WhatsApp, revenue and rate intelligence, OTA distribution, operations and workflows, housekeeping, restaurant POS, finance and tax-compliant billing, and guest CRM — ten layers on one operational database, under one subscription.
Does AI hotel software replace hotel staff?
In practice it changes what the shift covers rather than removing it. The measurable effect in Hotelary production data is on work that was previously not done at all: enquiries arriving at 23:00 that nobody answered, and follow-ups that were never sent. Staff move from typing rate quotes to handling the cases the agent escalates. Hotels on the platform continue to run the same front desk.
Practical answers for hotel AI decisions
How Do You Know an AI Guest Request Was Actually Completed?
Track guest requests through receipt, ownership, acknowledgment, completion and reopening, with evidence visible to staff and guests.
Should Hotel AI Offer Refunds to an Angry Guest?
Help hotel AI acknowledge complaints and route service recovery while preserving verified payment states and authorized refund decisions.
Can Hotel AI Answer Accessibility Questions Reliably?
Answer accessibility questions with verified room and route details. Keep uncertain features explicit and provide a usable booking alternative.
How Do You Test Hotel AI on Hinglish and Mixed-Language Bookings?
Use synthetic Hinglish booking cases to test dates, negation, occupancy and human handoff. Review the stored action as well as the reply.
How Do Hotels Stop AI From Sending Duplicate Follow-Ups?
Prevent duplicate hotel AI messages with stable send identities, current booking checks, queued-message suppression and safe retry handling.
Can Hotel AI Follow Up on WhatsApp After 24 Hours?
Understand WhatsApp follow-up eligibility, approved templates, guest permission and pre-send checks for hotel AI outside the service window.
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