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What are recommendations about AI lifecycle- resp. document management systems,  SaaS solutions as complementary component to an existing Enterprise Architecture Repository. There exists an idea to utilize the evaluation fields (e.g., Risk, Purpose, etc.) for AI enabled enterprise software applications within the Enterprise Architecture Repository in order to achieve EU AI Act compliance for those systems. Nevertheless, I assume we need additional documentation resp. lifecycle management capabilities beyond the Enterprise Architecture Repository. Furthermore, I assume we will serve in future products and services to our customers, which will be AI enabled as well. Therefore, I want to get ideas about current market solutions, which can be used to manage AI documentation resp. lifecycles of the components in addition. Even knowing that a few of the components will be already managed inside a dedicated Application Lifecycle Management (ALM) solution. Which concepts about feasible documentation of AI solutions in order to achieve a full EU AI Act compliance will be discussed in other companies? - AI documentation inside ALM? - AI documentation inside PLM? - AI documentation inside a dedicated AI lifecycle Management resp. AI Management System either ON PREM or SaaS? - AI documentation inside a more generic platform (e.g. RDF Knowledge Graphs) to achieve maximum flexibility on the data model and connectivity to other existing repositories? - AI documentation distributed across multiple tools? - AI documentation inside ... ?