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Curious Context Labs

IT · Company assistant

Internal knowledge search

AI internal knowledge search for company docs

An assistant that answers staff questions from your wikis, shared drives and old tickets, links to the source, and says so when it does not know.

01 today

The problem

How-to guides, SOPs and fixes are scattered across SharePoint, Google Drive, Notion and old Slack threads. New staff ask the same people the same questions. Older documents contradict newer ones, and nobody can tell which is current.

02 the run

What the AI does

  1. Step 1: Indexes the folders, wikis and ticket history you choose, keeping each person's existing permissions.
  2. Step 2: Answers questions asked in Slack, Microsoft Teams or a browser tab in plain language.
  3. Step 3: Links every answer to the document or ticket it came from so staff can check it.
  4. Step 4: Says when it cannot find an answer and suggests who to ask instead of guessing.
  5. Step 5: Sends a weekly list of unanswered questions and conflicting documents to the content owner.

paused: waiting for a person to approve

03 human in the loop

Where a person approves

Each knowledge area has a named owner who reviews the weekly gap report and decides which documents to fix or retire. Folders are only added to the index with that owner's sign-off.

04 after

What changes

Staff find the right procedure without tapping a colleague on the shoulder. Experienced people get fewer repeat questions, and gaps in your documentation become visible instead of hidden.

Results from a real build

[CASE STUDY] We only publish results we can name and check with the client.

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Tell us how your business runs. We'll tell you where AI fits.

A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.

Working with teams in the United States, United Kingdom and Australia.