Ask an executive where their company's knowledge is located, and they will point to a file server: procedures, manuals, reports, quality binders. Then ask their teams where they find answers when things get really stuck, and they will give you first names. This is the core of tacit knowledge: the most valuable part of a company's expertise is written nowhere.

Explicit Knowledge vs. Tacit Knowledge: The Distinction That Changes Everything

Explicit knowledge is knowledge that can be formalized: a maintenance procedure, a product spec sheet, an operating standard. It is stored, shared, and updated. This is what companies document, with varying degrees of rigor.

Tacit knowledge, theorized by Michael Polanyi and later by Nonaka and Takeuchi, is the knowledge that resists formalization: the right physical touch, diagnosing an issue by ear, contextual understanding, intuition born from a thousand lived situations. "We can know more than we can tell," Polanyi summarized. Reference works in knowledge management estimate that tacit knowledge represents the vast majority of an organization's skill capital.

In other words: even a perfectly documented company has only formalized a fraction of what it knows.

Why Tacit Knowledge Escapes Traditional Documentation

This is not a matter of discipline; it is a structural problem:

• Experts don't know what they know. Their reflexes have become unconscious: they don't think to document what seems obvious to them, yet that is precisely where their value lies.
• Writing is a distinct skill. Asking an exceptional technician to write documentation means evaluating their expertise by their writing ability. Many field experts will never write things down, and that is not a flaw.
• Tacit knowledge only emerges in real situations or through conversation. It takes a precise question, a follow-up, or a concrete scenario for an expert to verbalize what they do automatically. A form doesn't ask follow-up questions.

How Companies Try to Capture It, and Why They Hit a Ceiling

Traditional approaches all hit the same wall. Mentorship and shadowing transfer tacit knowledge well, but only to one person at a time, slowly—and if that person leaves, everything must be redone from scratch. Consultant-led interviews work, but their cost limits them to enterprise budgets. Wikis and knowledge bases only receive what experts are willing to write down—which is explicit knowledge. Tacit knowledge stays in people's heads.

AI Interviewing: The Missing Link

The effective method for extracting tacit knowledge has always been known: a conversation led by a skilled interviewer who asks questions, follows up, and reformulates. What was missing was the ability to do this at scale, for every expert, without consulting firm budgets.

This is exactly the role of Olivia, Skillsay's voice AI interviewer. She conducts interviews like an experienced consultant: adapting to the domain she explores, asking precise questions, probing unclear areas, and cross-referencing answers with existing company documents. The expert simply speaks in short oral sessions. No writing required.

Each session is then transcribed and structured into the company's knowledge base alongside existing explicit knowledge. The result: an organizational memory that finally contains both halves of knowledge—the written AND the lived experience—searchable by the entire team in natural language, complete with sourced answers.

Key Takeaways

Your company's most valuable knowledge isn't in any document, and it will never end up there on its own: it only comes out through conversation. As long as the only way to capture it was hiring a consultant costing thousands of dollars per expert, it was condemned to walk out the door when employees left. AI interviewing changes this equation: every expert can now be interviewed, turning their experience into a lasting corporate asset.

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