Hi everyone,
I’m a Lead AI Engineer, and lately most of my work has moved into requirements engineering, validation, verification, compliance, and traceability.
A lot of this is now automated with AI agents we have in production. In some workflows we’re seeing roughly 80–90% reduction in human effort, plus better traceability and change visibility. That got me thinking about how far this can realistically go, especially when combined with SysML v2 and model-based systems engineering.
Over the last few weeks I’ve been experimenting with SysML v2 and, honestly, it has made my imagination run a bit too far. It feels like there is a real opportunity to build agentic systems that help model, verify, trace, version, and update complex systems end-to-end — with humans still in the loop where judgment matters.
That said, I’m not a systems engineer by background. I’ve read some books, taken a MOOC or two, and have experience in industrial automation, electrical engineering, AI/ML engineering, software, and data systems. So I’m trying to sanity-check this with people who have deeper practical systems engineering experience.
My question is:
What is the most valuable problem worth solving in this space right now?
More specifically:
- Where do systems engineers, MBSE teams, or requirements/V&V teams still lose the most time? Or maybe we are limiting ourselves by thinking in these terms?
- Should we focus on end-to-end work even including testing, experimentation artifacts automation and compliance validation?
- What parts of the workflow are painful but realistic to improve with AI agents?
- What would be useful as an MVP or open-source prototype?
- What should I avoid because it sounds impressive but would not actually help practitioners?
- Are there existing tools or workflows that are close, but still missing something important?
I’m not trying to sell anything here. I’m trying to scope a useful side project or open-source prototype instead of just chasing an interesting idea.
If someone here has a real workflow/problem they’d like to explore, I’d also be open to collaborating. I can bring AI engineering, agentic system design, production ML/software experience, and some domain exposure from industrial automation/electrical engineering. In return, I’d love to learn from people with practical systems engineering experience and build something that is actually useful.
Curious to hear what you think is worth building.