Unanswered questions

Hello everyone, I hope you're all doing well.I'd like to ask for your guidance on two specific use cases in LeanIX:Cost Visualization: Is it possible to generate pie charts or bar graphs that show the Total Cost of Ownership (TCO) of applications? We only find sums of quantity, but not much configuration. And we'd like to group by specific tags for example. Is it possible? We've already have the TCO Extention  Version Management: What's the best practice for seeing evolutionary improvements in an application while maintaining its history? My goal is to track the evolution without having to create multiple new Fact Sheets for each version, thus avoiding unnecessary duplicates in the inventory.Thank you very much in advance for your recommendations!

Hello LeanIX Community, I’m working on a setup where I need to use parent/child relationships inside Application Fact Sheets to run some calculations and to control the visibility of other fields based on whether a parent exists.I think I’ve hit a fundamental limitation in LeanIX and I’m looking for advice or best practices to handle it.Bit of context I have Calculated Fields that depend on whether a Fact Sheet has a parent. I also need to show or hide certain fields based on this logic. So basically the UI depends on the calculated value, and the calculated value depends on the presence of a relation.IssueLeanIX does not evaluate calculated fields:when a Fact Sheet is first created, when the page is opened, or immediately after adding/removing a relation.They only update after a browser refresh. This creates two problems:At creation time, calculated fields are always Blank, even if the logic should return “No parent”. After adding a parent relation, calculated fields do not update rig

Gartner habla cada vez más de AI Debt: la deuda que se genera cuando priorizamos resultados rápidos en iniciativas de IA frente a la sostenibilidad a largo plazo.Según Gartner, la AI Debt aparece cuando decisiones (intencionadas o no) crean cargas futuras en forma de:retrabajo ineficiencias riesgos de cumplimiento dependencia excesiva de soluciones puntuales dificultad para escalar o pivotarLo interesante es que Gartner no plantea eliminar la AI Debt, sino gestionarla estratégicamente, asumiendo que cierta deuda es inevitable cuando se innova rápido.Desde una perspectiva de Arquitectura Empresarial, esto plantea preguntas muy relevantes:¿Estamos registrando y entendiendo dónde se acumula esta deuda? ¿La vemos solo como un problema técnico o también organizativo, de datos y de gobernanza? ¿Tenemos visibilidad de cómo las decisiones de hoy condicionan nuestra capacidad futura de escalar la IA?👉 Me interesa mucho saber:¿Estáis hablando de AI Debt en vuestras organizaciones? ¿Cómo estáis

Hi everyone, I’m currently working with the MCP Server in SAP LeanIX and need some guidance on best practices for API integration and fact sheet retrieval. Has anyone here worked on similar setups or have recommendations for optimizing the data flow? Would really appreciate your insights!

Is anyone tinkering with the MCP server? It seems to be missing fairly basic functionality like retrieving all the fact sheets of a given type. It has an action to get all applications, or to search for fact sheets of a given type, but the search doesn’t support a wildcard, so there appears to be no way to get a list of fact sheets of a given type. Has anyone run into this?Thanks -Dan