FRONT OFFICE AI FOR PUBLIC LINE — THE COMPARISON
Public-facing organizations are sold one of two models: a case-management or contact-center platform your counter and phone staff operate, or AI agents an integrator assembles and configures per channel, per office, on a modernization program. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every answer to the public comes from the information your organization approves. The AI decides nothing.
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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

One dashboard doing the jobs the others only track.
Across most of the market, every hire raises the software bill — the price follows your headcount, not the work getting done.
Credits, "AI actions", per-conversation fees, usage tiers. On many platforms the AI arrives as a second bill on top of the seats.
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.
Fourteen organization 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 public line on a storm morning | Your agents and clerks answer, with a case platform and a phone system | Configure a voice agent, channels and usage separately | ✓ Built in — your menu, your voices, 40 languages, hundreds of calls at once, after hours included |
| Answer “which documents do I need?” | A clerk looks it up, or the person hunts the website | An agent you train and maintain per channel | ✓ Grounded in your approved procedures and checklists; no source, no claim |
| File the request with a tracking number | Staff key the case into the platform; the person waits for a number | Agent invokes case actions you connect and configure | ✓ Filed in the conversation — address or account, office, number read back, duplicates matched |
| Send “received, assigned, done” | Workflow triggers your staff must keep moving | Possible if you build the flow per channel | ✓ Automatic status on the channel the person chose; a reply goes to the office |
| Book the counter, inspection or advisor appointment | A scheduling module each office operates | Agent invokes calendar actions you connect | ✓ Booked inside the call: right office, right slot, documents to bring listed, calendars synced |
| State the fee from the published schedule | A payment portal the person must learn; staff explain the schedule | Agent invokes processes you configure | ✓ Native: from your published schedule, labeled a statement, never negotiated; the office confirms |
| Call back the hang-ups | Nobody has time on a Monday morning | Possible if you build the workflow | ✓ Automatic: every abandoned call is called back with your greeting, in the person’s language |
| Send renewal, deadline and seasonal notices | Mail and a mass-notification tool your staff trigger | AI drafts; sending policies vary | ✓ Sequences you approve under your consent rules, stopping the moment someone replies |
| Serve the public in 40 languages | The one bilingual clerk; interpreter lines by appointment | Per-language configuration and usage | ✓ Every channel, every shift — the transfer arrives with the transcript translated |
| Forecast volumes and backlog per office | Reports pulled from the case platform after the fact | Dashboards over data your staff enter | ✓ From real contacts: volume, backlog and no-show risk per office, with the WHY |
| Train the new counter or phone hire | Shadowing for weeks | Not the product’s job | ✓ Role-play on your own procedures and schedules, productive in days |
| Keep decisions, complaints and emergencies with people | Depends on the person answering | Best effort, disclaimers apply | ✓ Your rules: no eligibility, waiver or complaint answers; emergencies hear your instruction and are transferred |
| Call your residents 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. Ortiz, this is the City of Fairview: your permit is approved and ready at City Hall, or download it from your portal. |
| The bill | Per seat and per module; grows with every office added | Per seat and/or per usage: credits, actions, conversations | ✓ One plan, chosen by outcome — the people you serve are never counted or charged |
Because the comparison is about the model, not the logo. A case or contact-center platform your staff operate, licensed per seat with metered AI on top, is the norm across the public-sector and member-services market; naming brands adds nothing. If you are evaluating a specific product or writing an RFP, ask the chat — it compares us to any vendor you name, point by point, from their published pages.
Every description of other models comes from typical published product pages, read August 2026, and describes what an organization must license, integrate and operate to get the job done. Where a vendor differs, the chat will show you.
No. Your work-order, billing, permitting, student-information, membership and case-management 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 write back what you authorize, and your IT department can revoke any token.
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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Comparisons on this page reflect publicly available product and pricing information, verified Aug 30, 2026. Trademark notice in the footer below.