ZANUS AI FOR CUSTOMER SERVICE — CSAT FOLLOW-UPS
CSAT surveys after resolution, winback notes to accounts gone quiet, proactive notices before customers discover the problem themselves — drafted by the AI from your own records, in the customer’s language, queued for approval. Follow-through, systematized.
Private tenant or your own server · unlimited agent users · no per-seat pricing, ever

Follow-ups and sequences drafted from the support records — surveys, winbacks, notices — awaiting approval.
Detractors from last quarter, accounts with three-plus escalations, customers affected by Tuesday’s incident: audiences built from your own support history — no list ever exported.
The apology note and the survey read naturally in the customer’s own language — your support voice, their words.
Opt-outs and contact preferences are enforced by the system, not by memory. Every send is on the record.
“Notify every customer on the affected plan before the invoice goes out wrong” becomes a drafted, scheduled sequence in minutes — grounded in your incident notes, sent before the queue fills with the tickets it prevents.


Every outbound customer communication lands in the approval queue unless you designate the category as auto-send. The team stays in control of every word that reaches a customer.
It drafts the outreach from the actual history — what went wrong, what was promised — for your team’s review. The apology is informed, not generic.
No. Audiences, drafts and sends all happen inside your isolated tenant — your customer data is not shared with a mailing platform or anyone else.
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