FRONT OFFICE AI FOR CALL CENTER — THE COMPARISON
A call center is sold one of two models: contact-center and CRM software your operators operate, with a knowledge base they search while the caller waits, or AI agents built to replace the operators and priced per conversation. No logos needed, because the same packaging habits dominate the market. Front Office was built on a third principle: your people speak, the AI assists from your approved knowledge, and the AI never speaks into a human’s call.
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.
Thirteen business 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 |
|---|---|---|---|
| Put the caller and the history on screen before hello | A CRM screen the operator searches while greeting | An agent that owns the conversation; the human sees a summary later | ✓ Built in — record, open cases and promises on the panel as the call connects |
| Give the operator the right answer during the call | A knowledge base searched while the caller holds | The AI answers instead of the operator | ✓ AI ASSIST — grounded answers with the source in a side panel; the operator talks, the AI never speaks |
| Work the outbound to-do list | A dialer and a spreadsheet your team maintain | Outbound bots that call for you, priced per call | ✓ Lists in the panel — yours, or prepared by the AI from hang-ups and follow-ups, record on screen |
| Serve the inbound queue at the peak | More seats, more hold music | A voice agent takes every call; humans only on escalation | ✓ Your rules — operators first, the AI on overflow and after hours if you choose |
| Call back the hang-ups | Nobody has time after a peak | Possible if you build the workflow | ✓ Automatic: every abandoned call is on a list, called back by the AI or an operator |
| Transfer with the context | A cold transfer and “please explain again” | A handoff summary if the flow is built | ✓ Whispered in — the next person hears the story before the caller |
| File the case from the call | An operator types it after the call, from memory | Agent creates a record if the flow is built | ✓ Drafted by the AI as the call happens — the operator confirms with one click |
| Book while the caller is on the line | Scheduling links and a calendar your staff maintain | Agent invokes calendar actions you connect | ✓ Proposed in the panel, confirmed on the call, Brief Me for whoever takes it |
| Train the new operator | Shadowing beside a senior for a month | Not the product’s job — the agent replaces the hire | ✓ Role-play on your own knowledge, then AI ASSIST beside them — productive in days |
| Brief the supervisor | Dashboards you open and read | Conversation analytics on the bot’s calls | ✓ A did-it-for-you list: volumes, outcomes, hold and call-back rates, the knowledge gaps |
| Find and fix the knowledge gaps | A wiki someone updates when they remember | Retraining the agent, a project each time | ✓ Gaps surfaced daily — dictate the answer once; every operator has it on the next call |
| Keep regulated and sensitive matters with people | Depends on the operator answering | Best effort, disclaimers apply | ✓ Flagged in the panel — the person your rules name, every time, whoever is on the line |
| The bill | Per agent seat plus a knowledge tool plus a dialer; grows with every hire | Per conversation or per resolution; the human seat on top | ✓ One plan, chosen by outcome — operators are seats added from the app; callers are never counted or charged |
Because the comparison is about the model, not the logo. Contact-center software your operators operate plus a knowledge tool, or AI agents that replace the operator, are 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.
Every description of other models comes from typical published product pages, read August 2026, and describes what a call center must assemble, license and operate to get the job done. Where a vendor differs, the chat will show you.
No. Your platform, CRM and billing system can stay the record; the Front Office panel is the system of work in front of them. Native CRM sync, webhooks, a read-only API and an MCP server write calls, cases and contacts back — and many centers move the operators onto the panel because the queue, the lists, the recordings and the records are included.
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.
← Previous: ROI · Sharing with a colleague? 📄 Get the PDF · ✉️ Email this page ·
Comparisons on this page reflect publicly available product and pricing information, verified Aug 30, 2026. Trademark notice in the footer below.