FRONT OFFICE AI FOR BANKING — THE COMPARISON
Banks and credit unions are sold one of two models: relationship software your bankers type into, or AI agents you assemble and configure per channel and wire to the core. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every answer to a member comes from your approved information only, with no advice, no account access and every word transcribed.
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

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 institution 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 branch phone 24/7 | Tellers and universal bankers answer between transactions, with CRM and contact-center tooling | Configure a voice agent, channels and usage separately, then wire it to the core | ✓ Built in — hours, ATMs, what to bring, published rates, 40 languages, after closing included |
| Answer “can I join?” and “what do I bring?” | Answered from memory, differently by every banker | An agent you train and maintain per channel | ✓ Grounded in your eligibility wording and checklists as written; no source, no claim |
| Book the loan officer or notary | Walk-in or luck; scheduling links your staff maintain | Agent invokes calendar actions you connect | ✓ Booked inside the call at the right branch and slot length, checklist attached, calendars synced |
| Call back the hang-ups | Nobody has time between transactions | Possible if you build the workflow | ✓ Automatic: every abandoned call is called back with your greeting |
| Work the account-opening or loan inquiry | Routed to a banker’s queue by workflow rules | Scored, matched to a banker, then handed over as a task | ✓ Answered in minutes: eligibility checked by your rules, banker booked, checklist sent, drop-off rescued |
| Chase the missing pay stub | A processor emails twice by hand | A follow-up task an agent drafts for a person | ✓ Sequenced on your wording until the document arrives; the arrival stops the sequence |
| State published rates and fees | From memory at the desk; a separate module for proposals | Agent invokes processes you configure | ✓ Native: rate sheet and fee schedule as written, disclosures attached, business proposals from your published schedule |
| File the lost card or dispute at 9:47 PM | Voicemail, or a third-party number read out; a rep creates the case Monday | Pre-built actions a rep or an agent runs from a console | ✓ Filed complete in the conversation — card, dates, dispute reason — routed to card services, status sent |
| Follow up the CD maturity, welcome the new member | A mail campaign once; templates your staff trigger | AI drafts; sending policies vary | ✓ Sequences you approve, within consent, stopping the moment the member replies |
| Brief the branch manager | Dashboards over fields your bankers typed | A to-do list for the frontline | ✓ A did-it-for-you list: what was filed and booked overnight, the three members needing a banker |
| Train the new teller or MSR | Shadowing for weeks | Not the product’s job | ✓ Role-play on your own disclosures and scripts, productive in days |
| Keep advice, accounts and fraud with a person | Depends on who picks up | Guardrails you configure; disclaimers apply | ✓ Your rules: no advice, no account access, fraud to a person now — every word transcribed |
| Call your members and 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 James, this is Riverside Credit Union reminding you that your loan payment is due on the 15th — you can pay in the app or at any branch. |
| The bill | Per seat; grows with every hire | Per seat and/or per usage: credits, actions, conversations | ✓ One plan, chosen by outcome — your members are never counted or charged |
Because the comparison is about the model, not the logo. Software your bankers operate plus metered AI you configure is the norm across financial services; 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.
Every description of other models comes from typical published product pages, read August 2026, and describes what an institution must assemble, license, wire to the core and operate to get the job done. Where a vendor differs, the chat will show you.
No. Your core stays the record and your online banking stays the member’s account channel; the Front Office is the system of work in front of them, and it never reads or writes an account. Native CRM and calendar sync, webhooks and a read-only API feed what you authorize.
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.