FRONT OFFICE AI FOR CONSULTING — THE COMPARISON

Compare us to anything a firm is offered.

Firms are sold one of two models: client-relationship software your partners are supposed to update between engagements, or AI agents someone in the firm assembles and configures 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 prospect or client comes from your approved information, with advice, scoping and anything about a specific engagement kept with a partner.

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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

Zanus Front Office dashboard — the AI at work

One dashboard doing the jobs the others only track.

Three habits of the market — three different principles here

1 · Pricing scales per seat

Across most of the market, every hire raises the software bill — the price follows your headcount, not the work getting done.

2 · The AI is often metered on top

Credits, "AI actions", per-conversation fees, usage tiers. On many platforms the AI arrives as a second bill on top of the seats.

3 · Most AI was built to assist teams

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.

Front Office was designed from the start on three different principles: one integrated product, priced by plan — not by seat-math · the AI performs complete front-office workflows, not only assists them · every answer grounded in your approved knowledge, with Protection capping the spend.

The scoreboard: how each model delivers the job

Fourteen firm 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 main line while partners are billable	Your coordinator answers, with a CRM and a phone system; overflow to voicemail	Configure a voice agent, channels and usage separately	✓ Built in — your services, sectors and intake questions, 40 languages, other time zones included
Answer “do you do this kind of work?”	Whoever picks up improvises; a partner calls back after the workshop	An agent you train and maintain per channel	✓ Grounded in your approved services, sectors and published material; no source, no claim
Book the discovery call	Five emails across three calendars	Agent invokes calendar actions you connect	✓ Booked inside the conversation with the right partner, in the prospect’s time zone, history on the invite
Call back the hang-ups	Nobody has time	Possible if you build the workflow	✓ Automatic: every abandoned call is called back with your greeting
Work the website inquiry and the referred lead	Routed to a partner’s inbox by workflow rules; read at 8 PM	Enriched and scored, then handed to a person	✓ Answered in minutes: intake questions asked, qualified, booked with the right partner
Acknowledge the RFP invitation	Lands in one partner’s inbox; deadlines in someone’s head	A workflow you build, once someone forwards the email	✓ Receipt sent to procurement, intent-to-bid and submission dates logged, bid owner notified
Send the proposal	A separate document module your coordinator operates	Agent invokes processes you configure	✓ Native: assembled from your rate card and templates, sent after a partner’s one-click approval
Chase the proposal	Left to the partner’s memory; it quietly expires	AI drafts; sending policies vary	✓ Sequences you approve, written from what was opened, stopped the moment the client replies
Route the client request	The client explains the story to three partners	Support agents configured separately	✓ Filed complete and routed to the engagement lead; status confirmed, never the substance
Map the buying committee	Fields partners fill before the pipeline meeting	Inferred from calls your team recorded	✓ Drawn from the AI’s own conversations — sponsor, procurement, economic buyer — and it flags the empty chair
Brief the managing partner	Dashboards you open and read	A to-do list for your partners	✓ A did-it-for-you list: overnight inquiries, RFPs and proposals opened, the three people needing a partner
Keep advice, scoping and confidentiality with a partner	Depends on who picks up	Best effort, disclaimers apply	✓ Your rules: advice, fees, conflicts and anything about an engagement go to a partner, every time
Call your clients 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 Andrew, this is Clearwater Advisory: your engagement proposal is ready for signature — the link is in your inbox.
The bill	Per seat; grows with every hire	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your prospects and clients are never counted or charged

Already running a big CRM suite? Read the story: the old way vs the AI way — keep the CRM, add the AI Front Office → And the chat below will compare us to any product you name, from its published pages.

Comparing something specific? Ask the Zanus AI below — it compares us to any vendor you name, point by point, from their published pages. Our plans are public: see pricing → Then do your own math →

The one question that cuts through every comparison: after you pay, who answers the prospect while your partners are with clients? With Front Office the answer is: the AI does — from your approved information — and your partners take the discovery call, the scoping and every question about an engagement.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. A CRM partners are asked to update plus metered AI someone assembles 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.

Is this comparison fair to the practice-management and CRM vendors firms already use?

Every description of other models comes from typical published product pages, read August 2026, and describes what a firm must assemble, license and operate to get the job done. Where a vendor differs, the chat will show you.

Do we have to replace our practice-management system or CRM?

No. Your practice-management, time-and-billing and document systems stay the record; the Front Office is the system of work in front of them. Native CRM and calendar sync, webhooks, a read-only API and an MCP server feed what you authorize — and client-confidential engagement material never enters the front office.

Try it free on your own firm. 7 days. No credit card.

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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