ZANUS AI FOR TECHNOLOGY COMPANIES — DOCS & RUNBOOKS
Product docs, API references, release notes, runbooks, postmortems, architecture decision records — loaded into curated libraries the AI reads from. Ask in plain language; get the answer with the source cited, at the permission level of whoever asks.
Private tenant or your own server · unlimited users · SOC-2-aligned deployment path

Libraries: the current runbook outranks the stale draft, this release’s notes outrank last quarter’s — you set the order.
Markdown exports, PDFs, diagrams, screenshots, recorded demos — the ingestion pipeline turns what your teams produce into queryable knowledge.
No source in your library, no claim: the AI cites the doc page, the postmortem, the ADR — or says it cannot answer. The same guard protects customer-facing chat.
The support rep asks about a public API limit; the SRE asks about the internal failover runbook: each gets answers scoped to their role, enforced server-side.
“Why did we choose this queue architecture?” “Which versions are affected by the auth regression?” “What did the Q3 postmortem recommend?” The archive answers in seconds with the documents attached — instead of an afternoon spelunking the wiki and pinging departed engineers.

Only roles you authorize. Permissions reach the field level and the server redacts what a user cannot see — a contractor queries the public docs, not the incident history.
Never. Your tenant is isolated; your docs, runbooks and postmortems are yours alone — and the on-premises option keeps them physically inside your building.
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