Chat with the people who already left.
A Mind is a digital twin of a role or person, trained on their real work. Ask it the questions only that person could answer, and get a sourced reply, scoped to what you are allowed to see.
How a Mind is built
MindKeepr reads the decisions, threads, docs, and tickets a person already produced in your connected tools.
It models how that person worked and decided, not just what they wrote down, so it can reason, not just recite.
An offboarding prompt fills the gaps a departing expert can still answer, while they are still around.
Anyone on the team can ask, and every answer is traceable and limited to what they could already see.
Where teams put Minds to work
Turn a notice period into a permanent asset. The knowledge a leaver carries becomes a Mind the next hire can question.
New hires interview their predecessor's Mind on day one instead of waiting weeks for tribal knowledge to trickle in.
Ask why something was built the way it was, and get the real reason with the thread that proves it.
Minds FAQ
A Mind is a digital twin of a role or person, trained on the work they already did in your tools. Your team chats with it to get the answers only that person used to give.
A Mind is grounded in one person's real decisions and context inside your company, and every answer links to its source. It does not invent answers from generic web data.
Only the work that person already produced in your connected systems: decisions, conversations, documents, and tickets. It never reaches data they could not access.
No. Minds are access-scoped, so each person only ever sees what they were already permitted to open.
A Mind starts answering as soon as its sources are connected, and becomes sharper as more context is captured, especially before a planned departure.