FRONT OFFICE AI FOR INSURANCE CARRIERS — THE COMPARISON

Compare us to anything a carrier is offered.

Carriers and MGAs are sold one of two models: a contact-center suite bolted onto the core systems, which your representatives operate while the policyholder waits, or AI agents you assemble, train and meter 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 policyholder or an agent comes from your approved information, with coverage and claim decisions left to licensed people.

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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 carrier 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 policyholder line 24/7	Your representatives answer, with a contact-center suite on top of the core systems	Configure a voice agent, channels and usage separately	✓ Built in — billing dates, documents, how to file, 40 languages, storm night included
Take first notice of loss at 2 AM	Voicemail, or an after-hours vendor; the adjuster calls back for the details	Guided intake you build and connect per channel	✓ Taken complete: peril-specific questions asked, safety script read, request filed, next steps told
Tell the claim status before they call	Notifications wired to workflow states by an implementation project	Possible if you build the workflow and the messaging	✓ Sent automatically when the request record moves, on the channel the policyholder used, in their language
Answer “where is my ID card?”	A representative searches several screens while the caller waits	An agent you train and maintain per channel	✓ Grounded in your approved information and the request record; identity verified first
File the endorsement or beneficiary change	Routed to a policy-service queue; explained again on the next channel	Agent invokes processes you configure	✓ Filed complete in the conversation, routed to the right desk, status told; approvals stay with your people
Serve the agent service desk	Producers queue behind policyholders; a partner portal for the rest	A separate agent and knowledge set you maintain	✓ Second front door: appetite, appointment and submission status answered, request filed, territory manager booked
Work the start-a-quote form	Routed to a producer’s or an underwriter’s queue	Scored and handed to a person	✓ Answered in minutes: intake completed, indication from tables you approve, licensed callback booked; nothing binds without a person
Run renewal and payment reminders	Templates your staff trigger, or left to the agent of record	AI drafts; sending policies vary	✓ Sequences you approve, in your compliance wording, stopping the moment the policyholder replies
Be the benefits desk during open enrollment	A desk sized for the other eleven months	Bots per portal you configure and update every plan year	✓ Plan explainers and answers from your approved summaries, 40 languages; eligibility questions go to a person
Brief the head of policyholder service	Dashboards you open and read	A to-do list for representatives	✓ A did-it-for-you list: what the storm brought in overnight, who needs a licensed person today
Train the new representative	Shadowing for weeks; scripts in a binder	Not the product’s job	✓ Role-play on your own scripts and disclosures, the storm-night call practiced before it happens
Keep coverage and claim decisions with licensed people	Depends on the person answering	Best effort, disclaimers apply	✓ Your rules: coverage, claims, binding and eligibility go to a licensed person, every time; disclosures read as written
Call your policyholders 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 Michael, this is Atlantic Mutual: your claim payment was issued today and will reach your account within three business days.
The bill	Per seat; grows with every representative hired	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your policyholders and agents 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 policyholder and takes the first notice? With Front Office the answer is: the AI does — from your approved information — and your licensed people take the handshake and every coverage, claim and binding decision.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. A contact-center suite your representatives operate, plus metered AI, on top of the core systems 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 core-system and contact-center vendors?

Every description of other models comes from typical published product pages, read August 2026, and describes what a carrier must assemble, license and operate to get the job done. Where a vendor differs, the chat will show you. Nothing here compares policy administration, claims adjudication or billing engines — those stay yours; the Front Office sits in front of them.

Do we have to replace our policy administration, claims or billing systems?

No. Your core systems stay the record; the Front Office is the system of work in front of them. It never writes into a policy or a claim on its own: requests arrive as events through webhooks and API, status flows back the same way, calendars and a general CRM sync natively, and a read-only MCP server feeds what you authorize.

Try it free on your own carrier. 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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