Predictive maintenance is a promising maintenance strategy. However, existing solutions are isolated from enterprise systems and limited to specific applications. A predictive maintenance framework that integrates the diversity of existing techniques for equipment failure predictions and that incorporates data both from machine level and the upper enterprise level is still missing. We envision the development of a predictive maintenance framework that is characterized by a high degree of automation and the possibility to use state-of-the-art prediction methods. We attempt to create an open architecture that enables third-party suppliers to integrate their specialized prediction components into our framework. In this paper we analyze the requirements and introduce the initial architecture associated with such a predictive maintenance framework, which is being realized in a joint project with SAP Research.