This paper has the goal of investigating the degree of alignment and complementarity between AI-FSM (an AI-oriented Functional Safety process model) and the MLE processes integrated in ASPICE PAM 4.0. The paper examines the degree of alignment of two standards/models as deployed in the demo of a safety-critical ML system in the railway domain. The mapping of their lifecycle shows a strong compatibility, with some warning and limitations. The high-level process correspondences are useful, but this is not sufficient to ensure comprehensive alignment, and for this reason, a deeper mapping effort is required, covering practices, sub-practices, and work products content. The SAFEXPLAIN railway demo provides a real case study of the application of ASPICE MLE in a safety-related context. The project outcomes validate the applicability of the AI-FSM in an ASPICE context. A significant number of improvement opportunities for both models are identified and described and will be directly followed up by the authors, who are directly involved in the relevant working groups.