This work describes the effort to join two different approaches about the development of the Proactive Network Management. The first approach was developed in the Laboratory of Network and Management, at Federal University of Santa Catarina, which uses remote monitoring and simulation tools. And the second one, was developed in the National Supercomputing Center, which handles the problem with artificial intelligence and SunNet Manager's agents usage. The new concept of proactive network management aims at identifying the existing troubles in advance to any performance degradation, as well as providing support for future decision-making actions. The goal of this work is adapting a complete proactive environment which will be use to explore the remote monitors and simulation tools to identify symptoms of proactive management problems. And specially to recognize a problem using artificial intelligence techniques and take proactive actions to solve it, configuring a proactive management application for the prevention of problems in computer networks.