Zanus AI for Technology Companies
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ZANUS AI FOR TECHNOLOGY COMPANIES — DOCS & RUNBOOKS

Ask the runbook. It answers.

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.

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Private tenant or your own server · unlimited users · SOC-2-aligned deployment path

Engineering document libraries with priority order

Libraries: the current runbook outranks the stale draft, this release’s notes outrank last quarter’s — you set the order.

What it does

Any format the company produces

Markdown exports, PDFs, diagrams, screenshots, recorded demos — the ingestion pipeline turns what your teams produce into queryable knowledge.

Answers with the source

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.

Permission-shaped answers

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.

Five years of engineering memory, one question away

“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.

  • Plain-language questions across the whole archive
  • Sources attached to every answer
  • Priority order: current docs and runbooks rule
Precision vector store answering from engineering documents
Technology companies buy per-seat tools for every team — helpdesk seats, sales seats, AI add-ons metered by the token — while trial signups wait days in a queue and the runbooks rot in a wiki nobody trusts. Zanus AI: the customer-facing front office AND the engineering back office, unlimited users, one flat price, no AI metering — in your private tenant or on a server you own.

Questions, answered

Who can see internal engineering docs?

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.

Do our documents train outside models?

Never. Your tenant is isolated; your docs, runbooks and postmortems are yours alone — and the on-premises option keeps them physically inside your building.

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

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