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Use cases / Use case · Knowledge & onboarding

AI assistants for internal knowledge

In most organisations the answer exists — in a wiki nobody updates, a thread nobody can find, or a senior head that's in a meeting. The cost is invisible because it's paid in minutes: hundreds of small waits and interruptions a week. A knowledge assistant converts that to seconds, with receipts.

01Sound familiar?

  • New staff taking months to stop asking where things are
  • Senior staff as human search engines for the same questions
  • Three versions of the SOP, none marked current
  • Answers that leave with the person who knew them

02What an assistant does here

  1. 01 Answers with citations

    Direct answers that name the document, section, and update date — so trust is checkable and stale sources get caught instead of repeated.

  2. 02 Respects who may see what

    Connected read-only and mapped to your existing permissions: HR policies answer to everyone, salary bands don't. This mapping is most of the project.

  3. 03 Routes the undocumented

    Questions without documented answers go to the domain owner — and their answer can become documentation, so the gap closes instead of recurring.

  4. 04 Surfaces contradictions and gaps

    When two documents disagree, it says so. When the same undocumented question recurs, leadership sees it. Real questions become a map of what needs writing.

03The honest fine print

  • Garbage in, confident garbage out: connecting an unmaintained wiki produces fast wrong answers with citations. Curate sources before connecting them.
  • Employee questions are sensitive — analytics should aggregate patterns, never surveil individuals.
  • Budget for ownership: each knowledge domain needs a named owner, or the assistant slowly rots into the wiki it replaced.

04Concepts designed for this job

05Go deeper

Eight questions, applied to your situation: run the Assistant Finder for a structured brief — no email required.