Connect enterprise data. Preserve business context. Power trusted AI.
See how Stadler is transforming fragmented enterprise information into a governed knowledge foundation that makes AI more useful today — while creating the foundation for future transformation.
The challenge
Decades of enterprise knowledge are distributed across ERP systems, legacy applications, documents and specialist platforms. For Stadler, information about products, suppliers and operations spans SAP, legacy applications and unstructured repositories — slowing access to knowledge and limiting the context available to AI.
Fragmented enterprise data creates fragmented AI context.
A different approach
Instead of connecting another AI assistant to individual applications, Stadler, JiVS and Genow take a data-first approach: enterprise knowledge is separated from the applications that created it, governed and structured — and only then made available to AI.
JiVS IMP
Connect · Govern · Preserve Context
The role of JiVS
JiVS IMP creates a governed enterprise data foundation spanning SAP and non-SAP information — standardized through a common object model and enriched with relationships and business context. A reusable foundation for AI, not another point-to-point integration.
Bring enterprise information together across SAP, non-SAP and historical environments.
Maintain the relationships and business context that give enterprise data meaning.
Make trusted enterprise knowledge available for AI and future use cases.
From data to answers
Genow consumes the trusted enterprise context and makes it available to Stadler users through a single AI-enabled workspace — retrieving complex enterprise knowledge without manually searching across disconnected systems.
Not AI guessing from isolated information.
AI grounded in enterprise context.
The bigger story
By keeping enterprise knowledge independent of the applications that created it, Stadler can preserve historical business information while maintaining flexibility for future ERP transformation, cloud strategies and additional AI initiatives.
Reusable foundation for future AI use cases
Enterprise knowledge decoupled from source applications
Foundation for transformation and legacy retirement
Customer story
Reduce the need to navigate multiple disconnected sources.
Bring live and historical enterprise information together.
Support additional AI scenarios without rebuilding the data foundation for every use case.
Preserve historical knowledge independently while preparing legacy applications for decommissioning.
The question for every enterprise AI strategy
Your most valuable enterprise knowledge may not live in one system. It can span today's SAP environment, legacy applications, documents and decades of historical data.
The AI strategy starts with the data strategy.
Discuss your data strategy
Discover how JiVS can help you connect enterprise data, preserve its business context and create an independent foundation for transformation and trusted AI.