Chat with the people who already left.
MindKeepr preserves what an expert knew, grounded in their real work. Ask the questions only that person could answer, and get a sourced reply, scoped to what you are allowed to see.
How it 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 it to work
Turn a notice period into a permanent asset. What the leaver carries becomes preserved knowledge the next hire can question.
New hires question their predecessor's preserved knowledge 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.
Common questions
The reasoning, decisions and context a person built up in the work they already did in your tools. Your team asks questions against that, and gets the answers only that person used to give.
It 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. Answers are access-scoped, so each person only ever sees what they were already permitted to open.
It starts answering as soon as its sources are connected, and becomes sharper as more context is captured, especially before a planned departure.