As part of my work at LSA Digital, I’m developing an AI-enhanced framework for delivering outcome-driven enterprise architecture using ARIS with a broad, integrated approach.
My initial goal is to create a distinct UX-centric interface and application that supports architects through:
- Meta-model design
- Attribute schema configuration
- Content import and modeling execution
- Query creation
I want to examine of these stages through the lens of AI enablement: where can intelligent agents assist, reduce friction, suggest content, automate tedious steps, or interpret modeling outputs to drive real business impact?
I'm getting help from my colleagues to apply user experience research principles and workflow automation to create a seamless experience for both modelers and consumers of EA content. Use cases include everything from capability modeling to operational excellence programs.
I’d love to hear from this community:
- Have you explored similar AI-enabled enhancements around ARIS?
- Where do you see the biggest opportunity to embed AI in your EA workflows?
- What use cases for ARIS do you find occurring most commonly or with the most pain points across different customers?
- What are the UX friction points you've encountered in typical ARIS usage that AI might help with?
Let’s build a future-ready EA experience that goes beyond templates and frameworks!