KM and AI

Artificial intelligence can produce an answer that reads like an expert explanation, follows a logical structure, and sounds entirely convincing while getting important facts wrong. In an organization, that is more than a technical inconvenience. An incorrect interpretation of an internal policy, an outdated compliance requirement, or an invented product specification can influence decisions, create … Read more

Enterprise knowledge management has a persistent problem: organizations often possess the information employees need, but finding the right information at the right time remains difficult. Policies, procedures, project reports, technical documentation, customer records, and lessons learned may be spread across multiple systems. Even when the information exists, employees may struggle to locate it because they … Read more

A knowledge base can contain a correct definition while an AI-assisted summary still gives a misleading impression. One reason is timing: the definition used to produce the text may no longer be the definition that readers see when they follow its link. Consider a fictional organisation that uses the label “reviewed supplier”. In the first … Read more

Knowledge management has traditionally focused on helping organizations capture, organize, share, and reuse what they know. The challenge has never been simply storing information. Organizations have accumulated enormous volumes of documents, policies, procedures, reports, lessons learned, technical documentation, and expertise, yet employees can still struggle to find the right knowledge when they need it. Generative … Read more