FRONT OFFICE AI FOR HOSPITALITY — THE COMPARISON

Compare us to anything a hotel is offered.

Hotels are sold one of two models: a guest-profile suite your front desk and sales office operate, or AI agents you assemble and configure per channel. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every rate, policy and answer a guest hears comes from your approved information only; your property-management system stays the record.

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Try it free 7 days on your own business · no credit card · per company, never per seat

REAL AI - the whole Front Office is AI, not old software with an AI button. Give it your website: it learns your company, works from your approved knowledge and gets better with every answer you approve.

Live on this site right now — the assistant in the corner is the product · Award-winning AI — CES · ISE · TMCnet

Zanus Front Office dashboard — the AI at work

One dashboard doing the jobs the others only track.

Three habits of the market — three different principles here

1 · Pricing scales per seat

Across most of the market, every hire raises the software bill — the price follows your headcount, not the work getting done.

2 · The AI is often metered on top

Credits, "AI actions", per-conversation fees, usage tiers. On many platforms the AI arrives as a second bill on top of the seats.

3 · Most AI was built to assist teams

Enrich, draft, score, summarize, coach — designed to make YOUR people faster. Newer autonomous agents go further, but are typically configured per channel and priced per usage.

Front Office was designed from the start on three different principles: one integrated product, priced by plan — not by seat-math · the AI performs complete front-office workflows, not only assists them · every answer grounded in your approved knowledge, with Protection capping the spend.

The scoreboard: how each model delivers the job

Fourteen hotel jobs, three delivery models. The difference isn’t whether a capability exists somewhere — it’s what you must assemble, license and operate to get it. Descriptions reflect typical published product models, Aug 2026.

The job	Traditional CRM model	Agent & copilot platforms	Zanus Front Office
Answer the reservations line 24/7	Your desk agents answer, with a guest-profile suite and a phone system	Configure a voice agent, channels and usage separately	✓ Built in — rates, policies and amenities from approved information, 40 languages, check-out rush and overnight included
Answer “did my confirmation arrive?”	An agent looks it up in the property-management system and resends by hand	An agent you connect and maintain per channel	✓ Looked up and resent through Connectors under your verification rule, noted on the guest profile
Catch the guest the booking engine dropped	Nobody knows they called; the booking site gets the reservation	Possible if you build the workflow	✓ Direct-booking rescue: chat or phone takes dates, room type and contact; reservations finishes it
Book the spa, the table, the site inspection	Separate booking tools per outlet your staff maintain	Agent invokes calendar actions you connect	✓ Booked inside the conversation — therapist, table-turn and sales-manager calendars synced
Call back the hang-ups	Nobody has time at check-out	Possible if you build the workflow	✓ Automatic: every abandoned call is called back with your greeting, in the guest’s language
Answer the RFP	Routed to a sales manager’s queue, answered in days	Scored and handed to a person	✓ Acknowledged in minutes: dates, attendees, space and F&B captured, site inspection booked
Send the group or wedding proposal	A separate sales & catering module your team operates	Agent invokes processes you configure	✓ Native: from your published rate and banquet menus, one-click approval, polite follow-up
Route the in-stay request	Radio, paper and a case queue for housekeeping	Support agents configured separately	✓ Filed complete — room, priority, photo — routed to housekeeping or engineering, guest told when done
Run pre-arrival and post-stay	Journeys a marketer configures and triggers	AI drafts; sending policies vary	✓ Sequences you approve — upgrade, late check-out, review request — stopping when the guest replies
Brief the GM before stand-up	Dashboards you open and read	A to-do list for staff	✓ A did-it-for-you list: overnight calls, requests and RFPs handled, the three things needing you
Train the new front-desk hire	Shadowing through the season	Not the product’s job	✓ Role-play on your own SOPs — the walk, the rate dispute — productive before the season
Keep safety and exceptions with people	Depends on who picks up	Best effort, disclaimers apply	✓ Your rules: incidents to the manager on duty; refunds and room numbers never decided or disclosed by the AI
Call your guests before they call you	Reminder calls made by staff when there is time; otherwise a text	Build an outbound flow, connect telephony, meter the minutes	✓ Auto-Call: an event, a funnel or a list triggers the call; the AI announces or converses, on your rules — Hi Laura, this is the Seaside Grand Hotel: your room is ready for early check-in from 1 PM tomorrow.
The bill	Per seat; grows with every hire and every property	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your guests and planners are never counted or charged

Already running a big CRM suite? Read the story: the old way vs the AI way — keep the CRM, add the AI Front Office → And the chat below will compare us to any product you name, from its published pages.

Comparing something specific? Ask the Zanus AI below — it compares us to any vendor you name, point by point, from their published pages. Our plans are public: see pricing → Then do your own math →

The one question that cuts through every comparison: after you pay, who answers the guest and works the RFP? With Front Office the answer is: the AI does — from your approved rates and policies — and your front desk takes the handshake at the counter, the manager on duty every incident and exception.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. A guest-profile suite your staff operate plus metered AI is the norm across hospitality technology; naming brands adds nothing. If you are evaluating a specific product, ask the chat — it compares us to any vendor you name, point by point, from their published pages.

Is this comparison fair to hospitality software vendors?

Every description of other models comes from typical published product pages, read August 2026, and describes what a hotel must assemble, license and operate to get the job done. Property-management, channel-management and revenue systems are not what we replace — we sit in front of them. Where a vendor differs, the chat will show you.

Do we have to replace our property-management system, channel manager or sales & catering software?

No. Your property-management system stays the record for rates, inventory and folios; the Front Office is the system of work in front of it. Calendars sync natively; connectors, webhooks and a read-only API write back what you authorize — and the AI quotes only the rates you load.

Try it free on your own hotel. 7 days. No credit card.

Give it your website. It learns your company. Then call it, chat with it, e-mail it — and decide. Nothing to install, nothing to cancel.

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