Zanus AI for Enterprise Operations
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ZANUS AI FOR ENTERPRISE OPERATIONS — DOCUMENTS

Four departments. One answer.

Every division keeps its own repository, wiki and archive — and the same question gets four different answers. In Zanus, the corpus lives in priority-ordered libraries with verified, cited answers, scoped server-side so each role sees exactly its slice of the truth.

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

Enterprise document libraries with priority ordering

Libraries: ratified policy outranks the draft, the signed master agreement outranks the redline.

What it does

The corpus at enterprise scale

Contract archives, policy manuals, product documentation, historical reports — any format including scans and media — ingested into libraries the AI actually reads.

Verified means verified

No source in the corpus, no claim in the answer: the AI cites the master agreement, the policy version, the spec — or states that it cannot answer.

Scope is architecture

Legal’s privileged folder, HR’s cases, finance’s models: the same question from different roles returns different answers, redacted server-side, by design.

Institutional memory that outlives reorgs

“What did we commit to in the 2021 master agreement?” “Which policy governed refunds before the merger?” Reorgs and departures stop erasing the past — the archive answers in seconds with the governing document attached.

  • Plain-language questions across decades of archive
  • Governing version identified and attached
  • Priority order resolves conflicts between sources
Vector store answering across the enterprise archive
Enterprise analytics is sold by the viewer seat and delivered through an analyst backlog — the dashboard exists, but the answer to “why did it move?” is three weeks and two tickets away, and every department buys it again separately. Zanus AI: reporting drafted by AI from your own operational data, forecasts with reasons, every department on one system — unlimited users, flat price, private tenant or your own servers.

Questions, answered

Millions of documents — realistic?

The library model is built for volume: priority ordering keeps answers governed by the right sources, and the on-prem Tokens Server option handles high-volume processing economically.

Can departments keep separate libraries?

Yes — libraries per department with distinct priorities and permissions, in one tenant, so cross-department questions still work for the roles allowed to ask them.

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

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