Zanus AI for Customer Service
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ZANUS AI FOR CUSTOMER SERVICE — AI WORKFORCE

The analyst your queue never had headcount for.

Assign work to the AI the way you assign it to staff: type, sources, deadline, recurrence. The weekly ticket-trend review, the monthly KB-gap report, the daily escalation digest — executed on schedule, with citations, under review.

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Private tenant or your own server · unlimited agent users · no per-seat pricing, ever

Assigning AI work with the four-step wizard

Four steps: work type, records and libraries, tags, schedule — the AI takes it from there.

What it does

Work types for the support floor

Ticket-trend review, KB-gap report, escalation digest, QA sample review: work types molded to your operation, with default libraries and examples per type.

Urgent / Overdue / Today

The AI’s workload is managed like the team’s: one-click views show what is urgent, late, today and tomorrow — nothing slips through shift change.

A QA analyst’s diligence, on the record

Every work is a full session: reasoning streamed, tickets cited, milestones tracked, linked to the release or the account it belongs to.

Monday, 8 AM: the trend review is done

Set “Weekly Ticket-Trend Review” once: every Monday the AI reads the week’s tickets, flags that refund-status contacts doubled after Thursday’s billing change, cites the twelve tickets that prove it, and files the report before standup.

  • Recurring schedules for periodic queue analysis
  • Findings cited to actual tickets and transcripts
  • Report in Output, awaiting the lead’s sign-off
Roster of scheduled AI works for the support team
Contact-center software bills per agent per month and now adds an AI meter on top — every new hire, every busy season, every automated answer raises the invoice before it resolves a single ticket. Zanus AI: 24/7 tier-1 coverage AND agent assist with cited answers, unlimited agent users at one flat price — in your private isolated tenant or on your own server.

Questions, answered

Can we supervise mid-work?

Yes — open any session, read the reasoning, redirect it, or stop it. The AI works like staff: visible, accountable, interruptible.

Can it keep up with a high-volume queue?

It does not get tired at 5 PM Friday: the constraint is your review capacity, not the AI’s. Configurations size from a five-agent team to a multi-site center.

See it working on YOUR queue — the demo IS the product.

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