ZANUS AI FOR TECHNOLOGY COMPANIES — BACK OFFICE
Product docs, release notes, runbooks, postmortems, ADRs: software companies produce enormous knowledge and then cannot find it mid-incident. The Zanus back office turns that archive into a working AI staff — drafting, triaging and answering with sources cited, under your team’s sign-off.
Private tenant or your own server · unlimited users · SOC-2-aligned deployment path

A real session: ticket-trends report drafted, sources cited, the engineering lead decides.
Release-notes drafts from the merged changes you feed it, weekly ticket-trend reports, postmortem summaries — assigned to the AI like to a teammate, executed on schedule, fully auditable.
“What is the failover procedure for the EU cluster?” Answered in seconds with the runbook cited — not a frantic wiki search while the pager screams.
Every AI-drafted release note, report and customer-facing doc lands in Output awaiting review. Nothing ships without your lead’s decision.
The postmortem from eighteen months ago predicted this incident — but nobody remembered it existed. With postmortems, runbooks and ADRs in cited libraries, the on-call engineer asks and gets the relevant document in seconds, with the exact section quoted.


Roadmap items and OKRs live in shared projects and goals — human and AI working the same board. Ticket triage automations tag, route and suggest answers; the weekly status report drafts itself from what actually moved.
That is not the job here. It drafts, triages, summarizes and answers from your engineering knowledge — release notes, runbooks, reports — with your engineers making every technical decision.
Your tracker stays the system of record; API connectors and webhooks move tickets and updates both ways under your field mapping, with a dry-run preview. Bring your stack to the demo and we map it.
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