This article presents an industrial application of hybrid system: the development of a fuzzy-neural prototype for optimising a rollmill. The prototype has been developed following an agent-oriented methodology called MAS-CommonKADS. This prototype has the original characteristic of being agent-oriented, i.e. each learning technique has been encapsulated into an agent. This multiagent architecture for hybridisation provides flexibility for testing different hybrid configurations. Moreover, the intelligence of the agents allows them to select the best possible hybrid configuration dynamically, for some applications whereas no best configuration for all the situations has been determined.