Wiki search often fails not due to technology alone, but due to keyword limitations, outdated content, and a lack of semantic search across all relevant knowledge sources.

Wiki adoption usually fails not due to a lack of user motivation, but due to too much friction, poor structure, weak search, and a lack of integration into the daily workflow.

For regulated organisations, the key question is not whether a wiki has AI features, but whether they can control which LLM processes their knowledge, where that processing happens, and whether their data is used for vendor AI training.

Vendor lock-in in knowledge management often becomes apparent only years later, which is why organizations should evaluate data portability, switching costs, pricing history, API openness, and acquisition risks before choosing a platform.