MBSE use case discovery

Move from requirements to system models faster.

Accelerate the transition from requirements into Model-Based Systems Engineering (MBSE). Analyze requirements, identify relevant system concepts, generate initial model elements, and establish traceability—reducing the manual effort required to start the modeling process.

Moving from requirements to system models takes time.

At the beginning of an MBSE initiative, engineers need to interpret large volumes of requirements, identify relevant system elements, define relationships, and translate textual information into structured models.

Much of this work is performed manually, making it time-consuming to establish the first system model and begin working within the RFLP framework—Requirements, Functional, Logical, and Physical.

Creating and maintaining links between requirements and model elements adds another layer of effort.

Use AI to accelerate MBSE discovery.

MBSE Use Case Discovery analyzes requirements and helps transform requirement information into structured system concepts and initial model elements.

AI helps identify potential functions, system elements, relationships, and other relevant information contained within requirements—giving engineers a faster starting point for system modeling.

Generated model elements can be automatically linked back to their source requirements, helping establish traceability from the beginning.

1. Analyze Requirements
Process existing requirements to identify relevant system concepts, functions, entities, and relationships.

2. Discover Model Elements
Use AI to propose model elements based on information contained in the requirements.

3. Structure the Model
Organize discovered information to support the transition into the Requirements, Functional, Logical, and Physical (RFLP) framework.

4. Establish Traceability
Automatically create links between source requirements and generated model elements.

5. Refine and Extend
Engineers review and refine the generated structure, using it as a starting point for further system modeling and analysis.

1.) AI Suggestions overview

Use AI to transform existing requirements into a structured starting point for MBSE.

Accelerate requirements analysis, discover potential model elements, establish traceability, and move into the RFLP framework faster—while keeping engineers in control of how the system model evolves.

Discover how AI-assisted analysis can help your engineering teams move from requirements to structured system models faster and establish traceability from the start.