FRONT OFFICE AI FOR ENTERPRISE — THE COMPARISON

Compare us to anything a group is offered.

A group is usually sold one of two models: a platform program — licenses per seat per country, an implementation partner, a change program the last countries never reach — or AI agents each business unit builds, connects and meters on its own. No logos needed; the packaging is the same everywhere. Front Office was built on three different principles — one product, enabled per wave, every answer from the knowledge each brand approves.

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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 group 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 group number and every site number 24/7	Each country’s desk answers, with its own CRM and contact-center tooling	Configure a voice agent, channels and usage per country	✓ Built in — per-site menus, 40 languages, follow-the-sun without the staffing
Give one answer on every brand site, local facts included	Twelve desks, twelve versions of the warranty policy	An agent you train and maintain per site and language	✓ One knowledge, local layers — change a policy once, every country answers the new way
Transfer to the owning brand, country and department	Blind transfer; the customer redials and re-explains	Routing rules you build per queue	✓ Routed in the conversation, context whispered in, hang-ups called back
Work every form from every brand site	A shared inbox somebody checks on Monday	Scored and handed to a regional rep	✓ Answered in minutes, routed to the owning country and department, consent rules per country
Answer sixty inboxes on one set of rules	Templates per country; sensitive threads depend on who opens them	AI drafts; sending policies vary by setup	✓ Routine answered; legal, media and regulators routed to the owner with a draft
Quote from the group price list with regional approval	A separate quoting module per country, spreadsheets in between	Agent invokes processes you configure	✓ Native — group catalog, regional rules, the approver’s one click, follow-up in the customer’s language
Book into the right site, in the right time zone	Scheduling links per site your staff maintain	Agent invokes calendar actions you connect	✓ Booked inside the conversation, per-site services and hours, history attached
File the request as a case with an owning department	A ticketing product and seats per country	Support agents configured separately	✓ Filed complete, owner assigned by your rules, status sent back, nights and weekends included
Roll out the next country or brand	A platform project, an implementation partner, a quarter	Rebuild the agents, connectors and prompts per market	✓ The next wave — local layer loaded, one script tag per site, same agreement, live in days
Brief head office and each country lead	Fourteen exports reconciled by hand	A to-do list per team	✓ A did-it-for-you briefing per country, brand and group — who needs a person today
Answer procurement and IT security	A questionnaire per country tool; the answers differ	Depends on what each unit built and connected	✓ One set of answers: private environment, scoped revocable tokens, audit log, isolation on request
Keep the systems of record each country runs	Migrate to the platform, or integrate at a price	Connectors you build and maintain per system	✓ They stay — native sync, webhooks and API, an audited MCP server; the AI writes back
Call your customers 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 Jonathan, this is the Global Services desk at Vantage Corp: your access renewal is due Friday to avoid interruption.
The bill	Per seat, per country; grows with every hire and every wave	Per seat and/or per usage: credits, actions, conversations	✓ One plan or one contract — seats by team, caps per resource, customers never counted

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 group’s customers in every country, every language, every night? With Front Office the answer is: the AI does — from the knowledge each brand approves — and your country teams handle the handshake and everything your rules mark as theirs.

Questions, answered

Why don’t you name the other platforms?

Because the comparison is about the model, not the logo. A platform program per country, seats that follow headcount and metered AI on top are the norm across the market; naming brands adds nothing. If your committee is 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 enterprise platform vendors?

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

Do we have to replace the CRM, ERP, ticketing or contact-center platforms our countries run?

No. They stay the systems of record; the Front Office is the system of work in front of them. Native CRM sync with a dry-run preview, webhooks and API, and an MCP server with scoped, revocable tokens feed what IT security authorizes — every access logged.

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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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