AI-based Harness design generation at scale

How to generate upstream harness & system installation options with AI?

Harness design is a system-level engineering challenge in complex products, where routing decisions directly impact mechanical integration, manufacturability, variant control, and overall system architecture.

In this webinar, Dessia explores harness design as a constraint-driven, rule-based engineering workflow, applicable to both electrical harnesses and piping systems. The focus is on maintaining consistency across space, interfaces, and physical integration—early enough to avoid costly downstream rework.

You’ll see how AI-driven design generation changes the game: instead of validating a single routing solution late in the process, designers can generate, compare, and assess multiple compliant routing options under the same set of engineering constraints. This multi-option approach enables faster convergence, clearer trade-offs, and more confident design decisions upstream.

In this session, we will cover:

• Structuring harness and piping design as a rule-driven engineering workflow
• Formalizing requirements to control routing and integration decisions
• Managing routing constraints across electrical harnesses and piping
• Synchronizing connection logic, routing paths, and physical integration
• Improving design consistency, and integration robustness across complex systems

Designed for engineering design teams working in automotive, aerospace, rail, industrial machinery, and complex system development, this session provides a practical, technical perspective on industrializing routing-based design workflows.