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Curious Context Labs

Company-wide · Company assistant

Know-how capture from long-serving staff

AI knowledge capture from retiring and long-serving staff

Experienced staff answer guided interviews; their know-how becomes searchable notes and how-tos the rest of the team can ask questions of.

01 today

The problem

In many small firms, the hardest knowledge lives in one or two people's heads: which machine needs a trick, which client wants things done a certain way. When they retire or leave, it goes with them. Nobody has time to write it down while they are still there.

02 the run

What the AI does

  1. Step 1: Plans a series of short interviews around the person's role, systems and regular problems.
  2. Step 2: Asks follow-up questions by chat or voice, and records walkthroughs over Zoom or Teams.
  3. Step 3: Turns the answers into how-to notes, checklists and 'if this, then that' guides.
  4. Step 4: Links each note to the related documents, machines, clients or jobs in your file storage.
  5. Step 5: Answers colleagues' questions from these notes in Slack or Teams and cites the source.

paused: waiting for a person to approve

03 human in the loop

Where a person approves

The person interviewed reviews and corrects every note before it is shared. Their manager decides who can see sensitive client or pricing details.

04 after

What changes

Hard-won experience stays in the business after people move on. New staff can ask a question and get the answer an old hand would have given.

Results from a real build

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

see also

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  • Sales

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    Agent

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.