FRONT OFFICE AI FOR REAL ESTATE — THE COMPARISON

Compare us to anything a brokerage is offered.

Brokerages are sold one of two models: a CRM your agents are supposed to update on Sunday night, or AI assistants and copilots you assemble and configure per channel, per seat. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every answer to a buyer, seller or renter comes from the listing sheet and your approved information only.

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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 brokerage 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 sign call while the agent is showing	Voicemail, or a coordinator with a CRM and a phone system	Configure a voice bot, channels and usage separately	✓ Built in — office line and sign-rider numbers answered 24/7 from the listing sheet, 40 languages
Answer the portal lead at 11 PM	Assigned to an agent who calls back tomorrow	Scored and enriched, then handed to the agent	✓ Answered in seconds: qualified by your questions, showing offered, before the buyer writes to the next agent
Answer “is it still available? Are pets allowed?”	The agent looks it up between showings	A bot you train and maintain per listing and channel	✓ Grounded in the listing sheet and your approved information; no source, no claim
Book the showing	Requests bounce between buyer, agent, coordinator and seller	Bot invokes calendar actions you connect	✓ Booked inside the conversation, right agent, inside the seller’s notice window, calendars synced, agent briefed
Call back the hang-ups	Nobody has time between showings	Possible if you build the workflow	✓ Automatic: every abandoned call is called back with your greeting and the listing in hand
Turn “what is my home worth” into a listing appointment	A generic email, or a call Monday morning	An automated valuation the bot recites	✓ Booked, not answered: appointment set with your agent, marketing proposal sent from your fee schedule
Follow up after the showing and the open house	Templates an agent remembers to trigger	AI drafts; sending policies vary	✓ Sequences you approve — feedback, second showing, matching listings, price changes — stopping the moment the client replies
Keep the client record current	Notes typed in the car on Sunday night, if at all	Captured in the flow of work, inside a record the agent maintains	✓ Written by the AI from its own conversations: timeframe, pre-approval as stated, properties asked about, showings booked
Handle document and access requests	Usually a separate product and seats	Support bots configured separately	✓ Filed complete — disclosures, lockbox codes, closing dates — routed to the right person, nights and weekends too
Brief the broker every morning	Dashboards you open and read	A to-do list for your agents	✓ A did-it-for-you list: overnight leads answered, showings booked, the three clients needing an agent today
Train the new agent or coordinator	Shadowing for weeks	Not the product’s job	✓ Role-play on your own office scripts and showing rules, productive in days
Keep offers, financing and fair housing with a person	Depends on who picks up	Best effort, disclaimers apply	✓ Your rules: offers, terms, financing, valuations and neighborhood questions go to your agent, every time
Call your clients 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 Ben, this is Harbor Realty: the showing at 42 Elm Street is confirmed for Saturday at 11.
The bill	Per seat; grows with every agent you recruit	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your clients 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 lead and books the showing? With Front Office the answer is: the AI does — from the listing sheet and your approved information — and your agents take the handshake, the offer and every question that needs a licensed person.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. A CRM your agents operate 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 real-estate CRM vendors?

Every description of other models comes from typical published product pages, read August 2026, and describes what a brokerage 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 brokerage CRM, showing or transaction system?

No. Your CRM and transaction system stay the record; the Front Office is the system of work in front of them. Calendars and CRM sync natively; webhooks and a read-only API feed showing-management and transaction systems with what you authorize.

Try it free on your own brokerage. 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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