FRONT OFFICE AI FOR RESTAURANTS — THE COMPARISON

Compare us to anything a restaurant is offered.

Restaurants are sold one of two models: a guest-relationship platform your team operates from HQ, 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 answer to a guest comes from what your restaurant publishes, with allergies, complaints and comps left to a person.

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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 restaurant 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 phone during the Friday rush	Your host answers, with a guest platform and a phone system	Configure a voice agent, channels and usage separately	✓ Built in — your hours, menu and reservation rules, 40 languages, after close included
Answer “is it gluten-free?”	Whoever picks up answers from memory	An agent you train and maintain per channel	✓ Grounded in your published allergen notes; a severe allergy goes to a person
Book the table or the large party	A reservation widget and a pad at the host stand	Agent invokes calendar actions you connect	✓ Booked inside the call within your party-size, turn-time and deposit rules; calendars synced
Take the takeout order mid-rush	A server writes it down between tables	An ordering agent configured and metered separately	✓ Captured complete — items, pickup time, callback number — and written back to your systems
Call back the hang-ups	Voicemail checked after close	Possible if you build the workflow	✓ Automatic: every abandoned call is called back with your greeting, the same evening
Answer the event or catering inquiry	A message for the events manager, answered days later	Scored and handed to a salesperson	✓ Answered in minutes: date, headcount and dietary list collected, proposal sent, date held
Send the private-event proposal	A spreadsheet at 11 PM after service	Agent invokes processes you configure	✓ Native: from your published menus and fee schedule, deposit link, polite follow-up
Route the complaint to the manager	Lands on a busy host or a new server	Support agents configured separately	✓ Filed complete, routed to the manager on duty with the transcript, nights too; the manager decides the comp
Keep the house account ordering	A dashboard someone must read	At-risk scores for a marketing team	✓ Flagged when the standing Tuesday order skips two weeks — before it goes to another kitchen
Follow up regulars and reminders	Loyalty campaigns your team triggers	AI drafts; sending policies vary	✓ Sequences you approve — confirmations, waitlist, regulars, review requests — stopping when the guest replies
Brief the owner or GM	Dashboards you open and read	A to-do list for staff	✓ A did-it-for-you list: last night at every location, the three people needing you before service
Train the new host or server	Shadowing through a few shifts	Not the product’s job	✓ Role-play on your own menu and allergen protocol, productive in days
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 Alicia, this is Trattoria Sole confirming your table for eight tonight at 7:30; please let us know of any allergies.
The bill	Per seat; grows with every hire and every location	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your guests 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 phone at 7:15 PM on Friday? With Front Office the answer is: the AI does — from what your restaurant publishes — and your team seats the guests and takes every allergy, complaint and comp.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. Software your team operates plus metered AI is the norm across the market; 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 reservation and guest-platform vendors?

Every description of other models comes from typical published product pages, read August 2026, and describes what a restaurant must assemble, license and operate to get the job done. Where a vendor differs, the chat will show you.

Do we have to replace our reservation system, online ordering or POS?

No. Your book, your ordering system and your POS stay the record; the Front Office is the system of work in front of them. Calendars sync natively; connectors, webhooks and a read-only API feed what you authorize — at one location or thirty.

Try it free on your own restaurant. 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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