Knowledge Transfer After an Employee Leaves

An employee leaves — and their computer has years of files: drafts, correspondence, work in progress, unnamed folders. Formally, this "needs to be handed to a successor"; in practice, nobody opens it and half of it never gets found.

Digercules goes through the departed employee's computer and turns it into a clear picture: what the person actually worked on (based on the files, not the job description), what they finished, what they left half-done, which contacts and agreements exist only in their email or chats.

What actually gets sorted out

In practice, a computer like this has everything mixed together: work and personal files with no separation, dozens of versions of the same document (report_final_v3_USE_THIS.docx), correspondence with clients and colleagues across email and messengers, unfinished tasks with no tracker anywhere, passwords and access mentioned in passing in a chat rather than handed over explicitly. The sorting finds: which projects and clients actually existed (from the files and correspondence, not a formal list), what was started but never finished and needs urgent handoff, which contacts and agreements exist nowhere except this person's personal inbox, what should be deleted (personal items, duplicates, stale drafts), and what should be archived.

How it works

Processing runs either entirely on the client's own hardware, or — if that hardware isn't powerful enough — is delegated to a specific external machine over a closed peer-to-peer channel (not a public cloud): the compute is physically located in the Caucasus and Eastern Europe, the client is always told explicitly which machine and which jurisdiction is doing the processing, and only text/structured results come back — never the source files. Data about a specific employee shouldn't end up in someone else's cloud service — that's a given, not something that needs explaining.

Objections

"That's confidential company data" — processing either never leaves your perimeter, or runs on a named machine with an explicit jurisdiction; only a structured result comes out, never the files.

"We already did a manual audit when they left" — a manual audit looks at folders by name; Digercules reads the actual content and finds what isn't sitting in plain sight (drafts in personal folders, attachments in correspondence, forgotten document versions).

First contact

A pilot on one real departed employee's archive — the computer already exists, results are visible within hours, nothing needs to be deployed. The decision on a pilot like this is usually made by an HR lead or IT director, not a line employee — address the proposal directly to them.