AI knowledge transfer, done responsibly
Grounding, review before trust, permissions, and citations: what it takes for AI to safely help with real company knowledge.
AI cannot safely help with real work if the context was never captured, or if it answers from unverified sources. Responsible AI knowledge transfer rests on four commitments.
Grounding
Every answer should be grounded in real source material, never invented company history.
Review before trust
Company memory is not a pile of unverified answers. A human approves what becomes trusted knowledge before anyone relies on it.
Permissions and citations
- Retrieval is permission-aware, scoped to who is asking
- Every answer cites its source so it can be verified
- Sensitive context can be restricted or redacted
More guides
12 min read
The complete knowledge transfer guide
What to capture, who to involve, how to run capture sessions, and how to review and lock knowledge so it survives the handoff.
9 min read
Tribal knowledge: what it is and how to capture it
Why undocumented know-how held by a few people is your biggest continuity risk, and how to surface and capture it sustainably.
Capture what your company can't afford to lose.
A focused walkthrough built on your scenario: the role, project, or system your team can least afford to lose, and what keeping it looks like.
No pressure and no obligation. Just a clear look at how it works.