Break prediction models can help water utility decision-makers to build their pipe rehabilitation programs. For a long time using them has been a specialist matter. After more than fifteen years of research in the field of the ageing of water pipes, Cemagref developed the LEYP model based on counting process theory that relies not only on the pipe’s characteristics and environment but also on pipe’s age and previous breaks. Then it was decided to develop a break prediction tool usable by water utilities - the “Casses” freeware. To make this possible, it was necessary to deal with several constraints. To cope with the diversity of available data for various water utilities, a flexible input data formats were designed as well as an importation module which checks the conformity and the coherence of data. Tools for data management and an advice module dedicated to model calibration were conceived for non-statistician users. The break prediction results can be used directly to compare break evolution with different rehabilitation strategies; they also can feed multicriteria decision tools. In this case, the freeware “Casses” can work as a “slave” of the integrated application.