DigiME: converse with the digital knowledge copy of your key person

What does a DigiME conversation look like?

A project engineer is quoting a rebuild for a client the company has served since the nineties. The expert who knows that client is retired. The engineer asks the DigiME:

That is the pattern: a question that used to require interrupting one person — or went unanswered after he left — gets his reasoning, not just a fact, and stays verifiable.

What makes it different from a chatbot on your documents?

Three things. First, the knowledge: DigiME draws on a temporal knowledge graph built from meetings and a guided intake — knowledge that was never in any document. Second, the reasoning style: the intake is personality-aware, so answers follow how this person weighs trade-offs, not a generic summary tone. Third, attribution: each answer cites who said it, where and when. A document chatbot retrieves text; DigiME represents a person's working knowledge.

What DigiME is not

DigiME is not a replacement for your expert while he is there — it is the way his knowledge keeps working when he is in a meeting, on holiday, or retired. It is not a simulation of his personality for its own sake; the personality-awareness serves accuracy of reasoning, nothing else. And it does not improvise: when the knowledge base has no grounded answer, DigiME says so rather than inventing one.

How does it stay current?

The knowledge base underneath is living. New meetings keep flowing in while the expert is active, and each statement is dated, so DigiME can distinguish how things were done from how they are done now. The expert keeps veto rights over his profile throughout — he decides what his digital knowledge copy may contain.

And after DigiME?

DigiME is the first use case, not the last. The same knowledge base carries onboarding, recurring questions, decision support and succession continuity — without new capture work. See everything the knowledge base unlocks →