The biggest knowledge problem in an organization is rarely that knowledge does not exist. More often, it is spread across meeting recordings, webinars, PDF documents, articles, websites and internal notes. Someone remembers that a topic was discussed, but nobody knows exactly where.
An AI knowledge base works best when the project starts with source organization, not with technology alone. List the most important materials first: recordings, transcripts, policies, resolutions, presentations, announcements, posts and articles. Then decide which source groups should be searchable first.
Why recordings should be a high priority
Video and audio contain statements, context and decisions that often never appear in documents. A useful knowledge base does not only summarize a recording. It lets users return to the exact timestamp. This matters for public sessions, training, consultations, podcasts and expert materials.
What to add beyond videos
Recordings alone are not enough when the same decision also appears in a PDF, article or announcement. A strong starting set includes documents, websites, informational posts and training materials. Users should not have to guess where the answer was published.
How to measure the result
The simplest test is practical: can someone who does not know the archive ask a question and receive an answer with a source? When the system shows a quote, link, document name or recording timestamp, the knowledge base starts saving real time.