Knowledge digital twin

A knowledge digital twin is an AI model of a role or person, trained on their real work, that teammates can question after that person leaves or changes roles.

Unlike a generic chatbot, a knowledge digital twin is grounded in one individual's actual decisions, documents, and conversations inside a company. It reasons the way that person did and links answers back to sources.

Digital twins make tacit knowledge durable: the expert leaves, but their logic stays available to whoever needs it.

In MindKeepr these are called Minds, and they are access-scoped, so a teammate only ever sees what they were already permitted to open.