This paper describes a model which can be used by the Dutch insurance supervisor to determine the priority a nan-life insurer should have for further examination. This model combines a traditional statistical technique (an ordered legit model) with artificial intelligence techniques (a neural network and an expert system). The output of the model consists of the priority for further examination (high, medium, or low), and a report which summarizes the main findings of the model. The model was able to adequately classify 93% of the companies in a 1993 data set. (C) 1997 Elsevier Science B.V.