The APPRENTIS project concerns the safety of industrial or port areas presenting risks (e.g., fire, explosion or toxic leakage). The operational objective is to provide a decision support software tool to plan monitoring and rescue patrols. This tool will minimize the cost of the patrols carried out by mobile agents (as drones or automated vehicles) by optimizing physical and financial resources based on the analysis of data flows. The questions we would like to answer are as follows: • During monitoring, how many mobile agents are required to perform a given set of measurements at given positions? What sensors should each of these agents equip? How to define the patrols of each of the agents in order to meet the overall monitoring requirements? • In the event of an incident, how to use these same monitoring agents to quickly obtain relevant information on the incident, the damage and any victims? How to transport and distribute rescue supplies with the help of intervention agents? Finally, how can we jointly and effectively use monitoring and intervention agents? The originality of the method proposed to solve these problems is based on modeling aspects and a resolution methodology that are derived from discrete event systems (DESs) and artificial intelligence (AI). This dual approach is motivated by the exponential complexity of the problem which appears when the problems of configuration and planning of the patrols of each of the agents are combined, the latter depending on the evaluated configuration. The expected result of the APPRENTIS project is a demonstrator that can serve as a basis for the development of a software devoted to the configuration of the monitoring and intervention patrols from a catalog of equipment, the description of the infrastructure, and the patrol specifications. We target, in particular, 3 types of audiences: 1) Companies with SEVESO classified sites (156 sites in Hauts de France region, 86 sites in Normandy region, 99 sites in the PACA region and 94 sites in the Ile de France region) which are called upon to strengthen the monitoring of their installations; 2) Organizations and local authorities in charge of crisis intervention (SDIS, urban communities, associations as ORMES); 3) Economic interest groups which are concerned with the production, transport or storage of products at risk (Ports of Le Havre, Rouen and Paris - HAROPA, Grand Port Maritime de Marseille - GPMM). The consortium of partners (ULHN - GREAH - EA 3220, AMU - LIS - UMR 7020, IMTLD, USPN - LURPA - EA 1385) was formed on the basis of the partners’ experience in the risk management and in the implementation and use of DES and AI tools. ULHN in Normandy region and IMTLD in Hauts de France region are located in the two regions targeted by the call RA-SIOMRI. AMU and USPN are located in two large and densely populated cities for which the potential impacts of industrial incidents are particularly serious. Finally, the city of Marseille offers similarities with the city of Le Havre through its port activity, an additional vector of risks due to the storage of hazardous materials, and through its concentration of SEVESO industrial sites near residential areas (Fos-sur-Mer near Marseille and Tancarville near Le Havre). The longer-term challenge we initiate here is to coordinate the means of monitoring and intervention in an automated way by combining predictive and decision-making models, and using model-based methods as well as database-based methods.