Monitoring, quality control and diagnosis is a large cost for production industry. Studies have estimated that the total cost of maintenance in Sweden is 20 billion Euros and the amount spent on maintenance in Europe is around 1500 billion Euros per year. The key to efficient maintenance is monitoring and quality control. Much of this work is today still manual and based on experienced technicians. Today large amounts of data are collected in the production industry but only a fragment of this data is used. Much of the monitoring data from sensors are used for quality control and maintenance which is still interpreted manually or a system monitoring if a threshold value is passed in order to give an alert. More elaborate use of the data, information and experience is rare. Using methods and techniques from artificial intelligence for experience reuse enables more informed actions based reducing accidents, mistakes and costs to mention some benefits. Building up and sharing experience is the key to intelligent monitoring and diagnostics acting as decision support. Intelligent Monitoring Agents are going beyond decision support since they also have communication skill and are able to make decisions on their own. Keywords: diagnostic systems, monitoring, artificial intelligence, agent based architecture.