FRONT OFFICE AI FOR QUOTE DESK — THE COMPARISON
Businesses that sell on a quote are sold one of two models: a configure-price-quote module and a CRM your estimators operate, or AI agents you assemble 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 number in a quote comes from your own price list and rules.
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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 |
|---|---|---|---|
| Take the quote request on any channel | Your desk answers the phone and the inbox; forms land in a queue | Configure a voice agent, a chat agent and forms separately | ✓ Built in — phone, chat, avatar, email and forms, one request record, 40 languages |
| Ask the estimator’s questions | A person calls back for the missing detail, twice | A scripted intake flow you build and maintain per channel | ✓ Your intake script, asked in the conversation until the request is complete |
| Price from your list and rules | Someone types lines into a quoting module | Agent invokes a pricing process you configure and test | ✓ Grounded in your price list and rules; no source, no number |
| Respect account and reseller pricing | Price books your reps pick correctly, or not | Rules you encode and keep in sync | ✓ Applied automatically per account and tier, with the rule that produced each line |
| Get the quote authorized | An approval workflow your managers click through | Approval steps you design around the agent | ✓ One-click YES — or automatic within the rules you set; the rest waits for you |
| Send it with a payable link | A PDF from a document module; payment elsewhere | Possible if you connect a payment action | ✓ Native: clean document, validity, payable link, opens tracked |
| Chase until accepted or declined | Reminders a rep remembers to send | AI drafts; sending and stopping policies vary | ✓ The quote chase preset: on schedule, personalized, stopped by a reply |
| Answer questions about the quote | The estimator answers, when back from site | An agent you ground on each document | ✓ Answered from the quote itself; discount asks routed to a person |
| Route the exception to the estimator | The whole request lands on the estimator anyway | Escalation rules you configure | ✓ Only the exceptions — custom work, discounts, unusual quantities — with everything captured |
| Show open, viewed, accepted, lost | Dashboards over fields your reps update | Reports you build on agent logs | ✓ Every quote in one of four states, on the record and in the morning briefing |
| Forecast from real quotes | Formulas over stage fields your team maintains | Often a separate paid product | ✓ Probability with the WHY from opens, questions and replies — included |
| Stop price-scraping bots | Not the CRM’s job | Usage-metered: the bot is your invoice problem | ✓ Protection: session shields, daily caps, polite failovers — a known, capped amount |
| 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 Bill, this is Precision Metalworks: your quote is ready and valid until the 30th; the link to accept it is in your email. |
| The bill | Per seat; grows with every estimator you hire | Per seat and/or per usage: credits, actions, conversations | ✓ One plan, chosen by outcome — your customers and your quotes are never counted or charged |
Because the comparison is about the model, not the logo. A quoting module your estimators 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 a quote out and chased. Where a vendor differs, the chat will show you.
No. Your system of record stays: the AI quotes from the price list you publish to it and pushes accepted quotes, contacts and cases back through Connectors — webhooks, a read-only API, native CRM sync and an MCP server. Keep the system of record; add the system of work.
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.