SBE Vision unifies the engineering ecosystem by establishing a defined, interoperable digital thread across tools, teams, and data. Regardless of your systems development process, whether ISO 15288, the V-model, or a customized enterprise framework, SBE integrates seamlessly without disruption. From concept of operations through design, verification, production, and sustainment, SBE Vision ensures authoritative traceability and reliable data flow.
Digital threads span far beyond a single workflow. There are more than one hundred distinct use cases across engineering execution, compliance, program management, supplier coordination, change management, and lifecycle sustainment. The examples below represent only a starting point for what SBE Vision enables.

Synchronize system architecture, product design, and simulation validation through an integrated, traceable engineering environment.
This use case connects MBSE, CAD, and Simulation tools to create a dynamic, feedback-rich environment where updates flow bi-directionally, enabling real-time impact analysis and parallel workflows.
Achieve comprehensive traceability of requirements from concept to product structure (BOM), enabling change propagation and collaborative design validation.
This use case integrates RMS, MBSE, and a PLM system. It supports seamless requirement decomposition, architectural traceability, and downstream realization alignment.
Enable full traceability and stakeholder visibility throughout the engineering lifecycle, from initial requirements through real-time analytics.
This use case incorporates the use of an ALM tool, a RMS tool, and Data Visualization. By linking engineering artifacts and surfacing insights via AI-powered dashboards, teams gain comprehensive visibility into project progress, risks, and optimization opportunities.
Enable agile, traceable system architecture development with real-time simulation validation and requirements alignment.
This use case brings together MBSE, RMS, and Simulation tools to define and validate system architecture. Changes to architecture or simulation results drive informed updates across the lifecycle, enhancing accuracy and minimizing delays.