In many organizations, specialist knowledge is often present in a fragmented way or ‘hidden’ in the minds of employees. As a result, organizations do not fully benefit from the knowledge available. Thanks to expert systems, this is a thing of the past. By using expert systems, organizations are able to centralize specialist knowledge and make it practically applicable for a large group.

Expert systems are applications that help users make decisions or support users by giving expert advice. In practice, an expert system is often presented in the form of an application in which the end user is given the opportunity to answer simple questions and, if necessary, enter additional data. In the background, the end user is then guided to the right outcome based on one’s input by means of a decision tree. That means that in the future, colleagues (with less substantive knowledge) can also benefit from the knowledge in your organization and make the right decisions.

Obviously, experts with domain knowledge are usually responsible for the creation and management of expert systems. After all, they are best able to determine what knowledge is required and what criteria must be observed in order to come to the right outcomes. That is why we also regularly call expert systems knowledge systems.