FRONT OFFICE AI FOR TRANSPORTATION — THE COMPARISON

Compare us to anything an operator is offered.

Operators are sold one of two models: contact-center and passenger-relationship software your agents operate while the queue grows, 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 — every answer to a passenger comes from your published information only, and anything that sounds like a safety incident goes to your dispatch or emergency line at once.

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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 operation 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 and information line 24/7	Your agents answer, with a contact-center suite and a phone system	Configure a voice agent, channels and usage separately	✓ Built in — schedules, routes and fare rules from your published pages, 40 languages, first departure to last arrival
Answer “is it running?” on disruption morning	Every agent reads the same status to a queue an hour long	An agent you train per channel; status feeds you connect and maintain	✓ Published status only, to every passenger at once; nothing predicted, decisions kept with your people
Answer the fare rule	From memory, differently by every agent; a dispute later	An agent you train and maintain on your conditions of carriage	✓ Grounded in your conditions of carriage; the same answer on phone, chat and email; no source, no claim
Capture the booking change	An agent works the reservation system while the passenger waits	Agent invokes reservation actions you connect and authorize	✓ Captured in the call, executed where you authorize, otherwise routed to your desk with the context attached
Quote the charter or the group	A salesperson reads the rate card and the vehicle calendar; days pass	Agent invokes processes you configure	✓ Native: from your rate card in minutes, clean document, one-click acceptance, polite follow-up
File the refund or compensation request	A web form, then an email asking for the ticket number	Support agents configured separately	✓ Filed complete — ticket, date, route, receipt — and routed; eligibility and amounts stay a person’s call
Log the lost item	A binder at the depot; the passenger is never called back	Possible if you build the workflow	✓ Filed in the conversation: item, route, date, seat; status sent when it is matched
Take the accessibility assistance request	A shared inbox nobody owns; not on the station’s list	Best effort; eligibility questions left unclear	✓ Captured complete, confirmed to the passenger, routed to the station team for the travel date; the team decides
Book the pickup or the rental window	Scheduling links and a dispatch calendar your staff maintain	Agent invokes calendar actions you connect	✓ Booked inside the call — 4:40 AM pickup, flight number attached, return window at the right branch; calendars synced
Brief the passenger-experience director	Dashboards you open and read	A to-do list for your agents	✓ A did-it-for-you list: last night’s calls, changes and cases, the accounts that need you today
Train the new desk agent	Shadowing a colleague for weeks; answer quality resets with each hire	Not the product’s job	✓ Role-play on your own fare rules and disruption scripts, productive in days; a team assistant mid-shift
Keep safety with dispatch	Depends on the agent answering	Best effort, disclaimers apply	✓ Your rules: anything on a moving vehicle or sounding like an incident goes to your dispatch or emergency line at once
Call your passengers 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 Paula, this is Metro Coach Lines: your bus tomorrow departs at 7:15, boarding at gate 4.
The bill	Per seat; grows with every agent hired for the peak	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your passengers 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 passenger? With Front Office the answer is: the AI does — from your published information — and your agents take the handshake, every refund exception and every decision on disruption day.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. Contact-center software 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 contact-center and reservation vendors?

Every description of other models comes from typical published product pages, read August 2026, and describes what an operator must assemble, license and staff to get the job done — including on disruption day. Where a vendor differs, the chat will show you.

Do we have to replace our reservation, ticketing or dispatch system?

No. Your reservation, ticketing, rental and dispatch systems 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, and changes are executed in your systems only where you allow it.

Try it free on your own operation. 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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