FRONT OFFICE AI FOR ORDER DESK — THE COMPARISON
Order desks are sold one of two models: helpdesk and commerce software your agents operate — a macro for “where is my order”, a return portal, a queue — or AI agents you assemble and configure per channel, metered per conversation. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every answer to a customer comes from your real order data and your written policy only.
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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 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 |
|---|---|---|---|
| Answer “where is my order” 24/7 | Your agents look it up, with a helpdesk and a phone system | Configure a voice agent, channels and usage separately | ✓ Built in — phone, chat, avatar and email read your real shipment status, 40 languages, nights and peak included |
| Tell the truth about the delivery date | Depends on the agent and the tracking page open | Best effort, disclaimers apply | ✓ Grounded in the order data you connected; no data, no date invented |
| Open the return or exchange | A return portal your customers fill in, a queue your agents work | Support agents configured separately, per channel | ✓ Opened in the conversation — order, item, reason, photos, refund or exchange captured once |
| Check the policy and send the label | An agent reads the policy and remembers it a little differently | Rules you build and maintain per workflow | ✓ Your policy as written: eligibility checked, label or instructions sent; exceptions to a person |
| Take the warranty claim | A form, then an email chain for serial number and photos | Possible if you build the flow | ✓ Filed complete — serial, symptom, photos, steps already tried — routed to the right desk |
| Send the status updates | Templates your agents trigger, when they remember | Automations you configure and monitor | ✓ Automatic: label sent, received, inspected, processed as your system records it |
| Handle orders@ in peak week | More seats, more agents, the backlog anyway | AI drafts; sending policies vary by setup | ✓ Inbox answered from order data; disputes and refunds outside policy wait for one click |
| Quote the replacement part or re-order | A separate module or a spreadsheet | Agent invokes processes you configure | ✓ Native: from your price list, payable link, polite follow-up |
| Book the delivery window or pickup | Scheduling links and a dispatch board your staff maintain | Agent invokes calendar actions you connect | ✓ Booked inside the call, zones and cut-offs respected, calendars synced |
| Route the exception to a person | Depends on who picks up the ticket | Escalation rules you build | ✓ Your rules: damaged, disputed, out of policy, suspected fraud or safety — to a person, every time, with the story |
| Train the seasonal hire | Shadowing for two weeks in the busiest month | Not the product’s job | ✓ Role-play on your own return policy, productive in days; a team assistant mid-shift |
| Show the manager why products come back | Reports built from dropdown reasons your agents picked | Dashboards over the tickets you logged | ✓ Return reasons and peak load from what customers actually said, with the WHY, every morning |
| Call your 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 Sarah, this is BrightHome Appliances: your order is out for delivery today between noon and 4. |
| The bill | Per seat; grows with every seasonal hire | Per seat and/or per usage: credits, actions, conversations | ✓ One plan, chosen by outcome — your customers are never counted or charged |
Because the comparison is about the model, not the logo. Helpdesk software your agents operate plus metered AI 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.
Every description of other models comes from typical published product pages, read August 2026, and describes what a business must assemble, license and operate to get the job done. Where a vendor differs, the chat will show you.
No. Your shop, ERP and order system stay the record; the Front Office is the system of work in front of them. Calendars sync natively; webhooks, a read-only API and the MCP server feed what you authorize. Your helpdesk you keep and sync, or retire — cases and history 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.
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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.