Insights
Knowledge Management
When an experienced employee leaves, most companies lose more than a headcount — they lose judgment calls that were never written down. This category is about what it actually takes to move knowledge out of people's heads and into something the organization can rely on, search, and hand to an AI system without losing what made it valuable in the first place.
Start here — Pillar article:
Why OKELAS perspective: Knowledge as Infrastructure — why we don't treat knowledge as a filing cabinet →
Assess it: Take the Knowledge Readiness Assessment →
Topics we're covering here (more added regularly):
- Organizational knowledge — what it is once you get specific about it
- Tacit → explicit knowledge — the conversion that most companies skip
- Knowledge sharing — why "put it on the shared drive" doesn't count
- Knowledge retention — the real cost of a key employee leaving
- Knowledge infrastructure — building for reuse, not just storage
- Knowledge management + AI — what an AI system needs from your knowledge to be useful
How dependent is your organization on specific people?
The Knowledge Readiness Assessment helps identify where knowledge lives — and what happens if the people holding it leave.