Preserve critical institutional knowledge by combining structured capture with human oversight: document key workflows, edge cases, decisions, and tacit know-how through interviews, recordings, process maps, and annotated examples from experienced employees, then organize this information in a searchable, regularly updated knowledge base that can train or support AI systems.
To avoid losing context, involve experts in validating outputs, keep humans in the loop for high-stakes use cases, and establish continuous feedback so the AI evolves as practices, exceptions, and business realities change. Saving Changes...
Community Champion
