FRONT OFFICE AI FOR HEALTH & HUMAN SERVICES — THE COMPARISON

Compare us to anything an agency is offered.

Agencies are sold one of two models: constituent-relationship software your workers operate from a case screen, or AI agents you assemble and configure per channel, often as a modernization project. No logos needed, because the same packaging habits dominate the public-sector market. Front Office was built on three different principles — and every answer to a client comes from your published information only; decisions stay with your caseworkers.

Start free

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 agency 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 benefits line 24/7	Your workers answer, with a constituent suite and a contact-center system	Configure a voice agent, channels and usage separately	✓ Built in — your programs, offices and document checklists, 40 languages, evenings and weekends included
Answer “did you get my documents?”	A worker looks it up on a screen and calls back	An agent you train and connect to the case system yourself	✓ Read back where you authorize it, after identity is verified; otherwise filed with a tracking number
Book and move the interview	Scheduling links and a calendar your staff maintain	Agent invokes calendar actions you connect	✓ Booked inside the call, right unit and worker, interpreter time included; a missed interview triggers rebooking
Call back the hang-ups	Nobody has time; the client calls again tomorrow	Possible if you build the workflow	✓ Automatic: every abandoned call is called back with your greeting, in the client’s language
Explain required documents in the client’s language	One bilingual worker for six languages; a translated leaflet	Articles and a chatbot the client must find	✓ 40 languages on phone, chat and face to face, from your published checklist only
Acknowledge the application or change report	A smarter form that waits to be read	Enriched, routed to a queue, then waits for a person	✓ Answered in minutes: missing items listed, interview booked, filed to the case queue with a tracking number
Send fee schedules and program documents	A staff member attaches the file and replies	Agent invokes processes you configure	✓ As published: the current table or leaflet sent in the client’s language, logged on the record
File the service request	Usually a separate product and seats	Support agents configured separately	✓ Filed complete — change reports, payment questions, complaints — routed to the right unit, status updates sent
Send recertification and document-due reminders	A letter, then a closed case	AI drafts; sending policies vary	✓ Sequences you approve, with consent, in the client’s language, stopping the moment the client replies
Brief the client-services director	Dashboards you open and read	A to-do list for staff	✓ A did-it-for-you list: what was booked and filed overnight, who needs a caseworker today
Train the new call-center hire	Binders and shadowing while callers wait	Not the product’s job	✓ Role-play on your own programs and scripts, ready in days, in a high-turnover call center
Keep decisions and safety with people	Depends on the person answering	Triage logic and disclaimers	✓ Your rules: no eligibility or case decision by AI; abuse, neglect or crisis to a person or hotline at once
Call your clients 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 Ms. Johnson, this is County Human Services: your benefits recertification is due by the 28th — the documents list is in your portal.
The bill	Per seat; grows with every hire and every office	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your clients are never counted or charged; every AI resource capped daily

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 client on the line? With Front Office the answer is: the AI does — from your published information — and your caseworkers take the handshake, every decision and every safety call.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. Constituent software your workers operate plus metered AI, delivered as a modernization project, is the norm across the public-sector market; naming brands adds nothing. If you are evaluating a specific product or writing a bid, ask the chat — it compares us to any vendor you name, point by point, from their published pages.

Is this comparison fair to public-sector suites?

Every description of other models comes from typical published product pages, read August 2026, and describes what an agency 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 eligibility or case-management system?

No. Your eligibility and case-management systems stay the record; the Front Office is the system of work in front of them, running in the cloud. Calendars sync natively; connectors, webhooks and a read-only API write back what you authorize, and every access is logged for your oversight bodies.

Try it free on your own agency. 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.

Start free

VIEW ALL NEXT❯