FRONT OFFICE AI FOR TECH SUPPORT — THE COMPARISON
Support desks are sold one of two models: help-desk software your agents operate — a ticket to fill in, a macro to pick, a knowledge base to search — or AI agents you assemble, train and configure per channel. 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 documentation only, with the source shown.
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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 the support line 24/7 | Your agents answer, with a help-desk suite and a phone system | Configure a voice agent, channels and usage separately | ✓ Built in — a path per product line, 40 languages, nights and weekends included |
| Answer “how do I set it up?” from the manual | An agent searches the knowledge base and pastes a link | A bot you train and maintain per channel | ✓ Grounded in your manuals and release notes, the source shown; no source, no claim |
| Ask the diagnostic questions | Depends on the agent and the shift | A decision tree you build and keep updated | ✓ Your questions, asked every time — model, version, error, steps tried |
| Open the ticket complete | Typed after the call, three fields empty | Agent invokes a ticketing action you connect | ✓ Filed in the conversation: customer, product, serial, issue, priority, transcript attached |
| File the RMA | A separate returns process and a form | Possible if you build the workflow | ✓ On your rules: eligibility checked, label and instructions sent, status updates automatic |
| Escalate to an engineer | “It does not work” and a phone number | Handed over with a summary, sometimes | ✓ With the log attached: what was asked, tried and observed, in the engineer’s queue |
| Answer the support inbox | Templates and macros your agents pick | AI drafts; sending policies vary by setup | ✓ Answered from your knowledge; the sensitive waits for one click; emails included |
| Keep the customer informed | When someone remembers | Notifications you configure per system | ✓ Automatic: ticket number, status changes, shipping label, “did the fix work?” |
| Respect the contract and the reseller | Entitlement looked up in another screen | Depends on the integrations you build | ✓ Known in the conversation: account, reseller, contract and product line drive the routing |
| Surface the knowledge gap | A quarterly review, if at all | Analytics you export and read | ✓ Every morning: the recurring unanswered question, ready to be answered once |
| Train the new agent | Weeks of shadowing and a wiki | Not the product’s job | ✓ Courses and role-play from your own documentation, a team assistant on their phone |
| Keep safety-critical topics with a person | Depends on who picks up | Best effort, disclaimers apply | ✓ Your rules: anything you mark safety-critical is transferred, every time |
| 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 Alex, this is Corebyte Devices: the firmware update that fixes your issue is available; the instructions are in your inbox. |
| The bill | Per agent seat; grows with every hire | Per seat and/or per usage: credits, resolutions, conversations | ✓ One plan, chosen by outcome — your customers and their tickets are never counted or charged |
Because the comparison is about the model, not the logo. Help-desk 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 support desk must assemble, license and operate to get the job done. Where a vendor differs, the chat will show you.
No. Your ticketing system stays the record; the Front Office is the system of work in front of it. Webhooks, API, native CRM sync and an MCP server feed what you authorize, and your engineers receive complete cases in the tool they already use.
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.