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Private AI and internal knowledge

Your knowledge, kept in-house.

Staff ask your own documents and get sourced answers, inside your network and permissions.

Colleagues using internal knowledge beside on-premise infrastructure.

Circulars, SOPs, past cases and project files hold the answers, but few people know where. The system answers from that material, shows the document, page and date, and returns only what the asker may already read. It can run on your own servers, so nothing leaves the building.

Illustrative example

What this could look like in practice

A bank's operations staff need answers spread across internal circulars, product notes and old audit responses. Branch operations asks what the current rule is for a customer document, and gets the circular number, its date, and a note that an earlier one was superseded. A credit officer sees only files their role covers, not even a line from another vertical. It all runs in the bank's own data centre.

How the system helps

The work it takes off your team

  • Answers from your documents, with file, page and date shown.
  • Applies your existing permissions exactly, source system by source system.
  • Runs on your servers, with no outside call while answering.
  • One place for internal assistants, instead of scattered consumer tools.

Considerations

Things to settle before building

  • Permission mapping is the bulk of the work, role changes included.
  • Restricted material must never appear, not even inside a summary.
  • On-premise means hardware, power and someone to run it.

Outcome measures

Useful things to measure

Suggested yardsticks for judging whether a system like this is earning its place — not results we promise.

  • Answers carrying a usable citation
  • Correct refusals on permission tests
  • Time spent hunting for documents
  • Wrong answers reported monthly

Where it applies

Sectors where this fits

Banks, insurers and financial institutions · Hospitals and health systems · Legal, audit and compliance functions · Government departments and defence organisations needing classification-aware, on-premise handling