This makes complex engineering software easier and faster to use, reducing friction in routine tasks and lowering the effort required to work across CAD and PLM workflows.
How it works
The user asks for an action in plain language, and the copilot interprets the request, selects the right operation, and executes it in the engineering tool without forcing the user through every manual step.
Application here
An AI assistant helps automate simulation setup and post-processing, making analysis tools easier to use.
Business impact
This can reduce setup time and make simulation workflows more accessible to engineers who are not deep CAE specialists.
Limitations
Automated setup can still introduce subtle errors, and expert review is needed to confirm that the simulation approach is appropriate.
In production
This is already helping engineering teams work faster day to day by reducing tool friction and automating routine software actions.
Research
The frontier is toward AI assistants that can collaborate on larger engineering jobs, split work across subtasks, and support assembly-scale workflows rather than only single commands.
Examples
Ansys AI Copilot [in development] — a natural language interface for configuring and running simulations: the engineer describes the task, the copilot selects mesh settings, solver and boundary conditions. Currently available in limited preview (Ansys Simulation World 2024) — .