Team collaborating over design project

Stakeholder Collaboration in Model-Centric Engineering

Extending system understanding into decisions across roles, lifecycle stages, and organizational boundaries to improve alignment and execution.
Menu

From Connected Systems to Connected People

Connected engineering establishes a shared system understanding—but its value remains limited if it is confined to a small group of experts.

Engineering today requires the involvement of multiple stakeholders across disciplines and functions. Decisions are no longer isolated within engineering teams; they impact product management, manufacturing, and operations alike.

Model-Based Systems Engineering therefore must go beyond structuring systems—it must enable participation. It becomes a coordination framework that connects people, processes, and decisions within a shared system context.

Role-Specific Access to System Knowledge

Not every stakeholder needs the full system model—but everyone needs access to the relevant system context.

Model-centric environments enable structured access to system knowledge based on roles and responsibilities. Stakeholders interact with the system through views tailored to their needs—focusing on what is relevant while preserving the connection to the overall system.

This ensures that participation is possible without requiring deep modeling expertise, while maintaining consistency and traceability, and enabling broader participation without increasing coordination effort.

Shared system model connecting engineering, systems, project management, production, service, validation, and product management teams through role-specific views and traceable system context.A shared system context connects stakeholders across engineering, manufacturing, and management, enabling aligned decisions, improved visibility, and coordinated execution.


Engineering becomes truly connected when decisions are made within a shared system context, improving alignment, reducing misinterpretation, and strengthening decision quality.

Structured Decisions in a Shared System Context

Collaboration improves when discussions and decisions are anchored in the system itself. Instead of being scattered across documents or communication channels, they remain linked to the relevant system elements.

This ensures that decision rationale stays connected to requirements, architecture, and validation. As a result, decisions remain understandable, traceable, and aligned, reducing the risk of misinterpretation as systems evolve.

Transparency and Alignment Across the Value Chain

A shared system model creates visibility across the entire lifecycle—from concept to operation. Stakeholders across engineering, product management, manufacturing, and service gain a consistent understanding of system intent.

This improves coordination and ensures that decisions remain aligned throughout development.
Collaboration can also extend beyond the organization. External partners and customers can be involved through controlled access to relevant system views.

This creates alignment across the full value chain ensuring that engineering decisions are consistently reflected in delivered products.


Connected engineering reaches its full potential when system understanding is shared across people, lifecycle stages, and organizational boundaries, improving alignment, accelerating decisions, and reducing coordination effort.

Explore Industry Applications

See how connected engineering is applied across industries to manage complexity, improve coordination, and deliver more predictable outcomes.

Explore Industry Applications

Talk to a Digital Transformation Expert

Discuss how to align teams, improve decision-making, and reduce coordination effort by connecting system understanding across your organization.

Start the Conversation