Is there such a thing as a digital twin of an expert?
The term fits better than most buzzwords, with one correction. A digital twin, classically, is a living digital counterpart of a physical asset — a machine, a plant — fed by data from the original and used to answer questions without touching the real thing. Applied to a person, the useful equivalent doesn't mirror the body or the personality for its own sake: it mirrors the knowledge and reasoning. The precise term is a digital knowledge copy.
What carries over from the machine concept
Three properties translate directly, and they are the valuable ones. Living: like a machine twin fed by sensors, a knowledge copy is fed by ongoing capture — meetings, sessions — rather than frozen at creation. Queryable without the original: the point of a machine twin is asking it questions the physical asset is too busy or expensive to answer; the knowledge copy serves exactly that role when the expert is in a meeting, on holiday, or retired. Faithful to the specific original: a twin of pump #7 is not a generic pump model — and a knowledge copy of your engineer reasons like him, not like an average engineer.
What doesn't carry over
A machine twin can be complete — every sensor, every state. A person's twin cannot and shouldn't be: it covers what was captured and consented to, no more. The expert is not an asset that gets mirrored; he is a participant who controls his own profile. And where a machine twin predicts the machine's future behavior, a knowledge copy makes no claim to generate the expert's future judgment in novel situations — it preserves the reasoning he actually had, with sources. The humility is a feature: it keeps every answer checkable.
Why the framing matters for SMEs
Industrial SMEs already trust the digital-twin concept — many run twins of their machines and lines. The mental model transfers: the same company that queries a line twin before touching the line can query the expert's knowledge copy before overriding his old decision. In both cases the twin's value is set by data quality — for machines, sensor coverage; for experts, capture depth. A twin built from thin data is a dashboard; a copy built from real capture is a colleague.
Where MentX comes in
MentX is a personality-aware knowledge base: it captures the knowledge of a company's key person — from meetings and a guided intake track — into a living, temporal knowledge graph with full source attribution. MentX builds the knowledge version: capture from meetings and a guided intake feeds a living, temporal knowledge graph with full source attribution — the 'sensor feed' of the expert's twin — and DigiME is the interface you converse with. The expert keeps veto rights throughout: a twin of a person is built with him, never of him. Fittingly, MentX's founders spent their careers on exactly these two halves — digital twins and conversational AI.
