FRONT OFFICE AI FOR TELECOM — THE COMPARISON

Compare us to anything a provider is offered.

Providers are sold one of two models: a subscriber-management console your care reps operate, with AI that guides the rep, or AI agents you assemble and configure per channel, with an integrator project before the first call is answered. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every answer to a subscriber comes from your approved status, coverage and plan 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 network 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 care line on outage night	Your care reps answer, with a console and contact-center tooling; the spike goes to hold	Configure a voice agent, channels and usage separately	✓ Built in — a hundred identical calls answered at once, your approved status read, 40 languages, after hours included
Answer “is service available at my address?”	A generic form says “call us”; a rep checks in the morning	An agent you train on coverage data and maintain per channel	✓ Grounded in your approved coverage data; not serviceable becomes a pre-registration, not a lost order
Book the installation appointment	Dispatch calendar your reps maintain; confirmations if someone has time	Agent invokes calendar actions you connect	✓ Booked inside the call, right window, address and access details confirmed; reschedules from the reply, freed slots refilled
Call back the hang-ups	Nobody has time after an outage	Possible if you build the workflow	✓ Automatic: every abandoned call is called back with your greeting once the queue clears
File the trouble ticket complete	A rep types it up after the call; a callback to ask the light color	Support agents configured separately	✓ Filed complete — address, symptoms, light status, steps tried — routed to NOC, dispatch or billing, nights too
Explain “why is my bill higher?”	Answered from memory by whoever picks up; a billing module for the rep	Best effort; account data needs integration first	✓ From your approved information — promotion ended, pro-rated month, added line; credits filed for a person, never granted
Quote business connectivity	A sales engineer builds it by hand; simple quotes wait behind complex ones	A quoting agent on a catalog project you configure	✓ Native: from your rate card, sites collected, clean quote sent and chased; custom designs to your sales engineer
Work the pre-registration list when the street is lit	A spreadsheet somebody remembers	A sequence you build and trigger	✓ Worked automatically: every name kept warm with your build updates, contacted the week the neighborhood goes live
Send reminders, restoration updates and promotion-expiry notices	Templates your reps trigger; the same subscriber calls three times	AI drafts; sending policies vary	✓ Sequences you approve — install reminder, restoration update, price change explained a month ahead; a reply alerts a person
Hear the churn before the notice arrives	Churn scores from data fields; a retention queue	Predicted from calls your team recorded	✓ Heard in the conversation: asked about cancelling, two outage tickets, promotion expiring — flagged for your retention desk with the transcript
Train the new care rep	A binder out of date by the next campaign; weeks of shadowing	Not the product’s job	✓ Role-play on your own plans and scripts — the third outage call, the surprise bill — productive in days
Keep credits, account changes and emergencies with people	Depends on the rep answering	Best effort, disclaimers apply	✓ Your rules: verification script before any account request, credits filed not granted, emergencies transferred — every time
Call your subscribers 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 Mr. Nguyen, this is Skyline Telecom: your technician is scheduled tomorrow between 1 and 3 for the installation.
The bill	Per seat; grows with every rep you hire for the storm season	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your subscribers 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 subscriber on outage night? With Front Office the answer is: the AI does — from your approved status, coverage and plan information — and your care reps take the handshake, the credit decisions and every emergency.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. A console your care reps operate plus metered AI is the norm across the market, for tier-1 carriers and regional providers alike; 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 industry-cloud and contact-center vendors?

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

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

No. Your billing and business support system, your ticketing and your dispatch stay the record; the Front Office is the system of work in front of them. Calendars sync natively; webhooks, API and an MCP server write bookings, tickets and contacts back to what you authorize.

Try it free on your own network. 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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