Enterprise knowledge management (EKM) is the practice of managing **organizational knowledge** to facilitate access and reuse of knowledge, enhancing decision-making and collaboration. It involves processes like knowledge creation, retention, transfer, and application, supported by technology to organize and share information effectively. EKM is a subfield of [[organizational development]] and [[knowledge management]]. In many organizations, EKM is practiced only informally and sometimes intentionally through human [[knowledge networks]]. In some organizations, an enterprise **wiki** provides a technology platform (e.g., [Confluence](https://www.atlassian.com/software/confluence), [MediaWiki](https://www.mediawiki.org/wiki/MediaWiki)) and most organizations have an **intranet**. Collectively these are called a [[knowledge management system]]. Automated approaches to EKM prior to 2022 included applications of [[natural language processing]] to extract unstructured information from documentation and structure it in a [[knowledge graph]]. With the commercial availability of the [[transformer]]-based [[large language model|LLM]] like [[ChatGPT]] in 2022, a race was on to develop EKM platforms that could leverage the capabilities of these models in RAG-based systems and similar approaches (e.g., Glean, Exchange.Design). While many organizations are just waking up to the possibility of EKM, and attempt simple deployments of generative AI to meet this need, those organizations that have been supporting EKM for some time will recognize the importance of more than just another tool. Some authors argue for more robust approaches, for example a "[[designed intelligence environment]]".