A LLM-driven chatbot & AI platform integration to expedite tedious user workflows.
My Role
Lead UI and interaction designer
Year
2024
Org
fabric Inc.
The Context
fabric’s platform was growing in power, but some of its workflows were still too manual, too repetitive, and too time-consuming for merchants and operators. Users often had to dig through large amounts of information, switch between tools, or complete tedious tasks that slowed them down.
The Goal
The opportunity was not just to add AI for the sake of it, but to make it genuinely useful inside real workflows. The challenge was figuring out where AI could reduce friction, save time, and feel trustworthy enough to become part of a user’s day-to-day experience. This needed to feel like a practical assistant, not a gimmick.
My Contribution
As Lead UI and Interaction Designer, I contributed to fabric Intelligence across research, UX, visual language, and product direction. I helped explore where AI could create real value for users, informed the direction through early concept work and research, and defined key interaction patterns and visual approaches for the experience. I also worked closely with product and engineering to shape a solution that felt cohesive, intuitive, and trustworthy within real user workflows.
What was achieved
2.3%
Increase in product enrichment.
1.8%
In order fulfillment rule optimization.
3%
Increase in self-service resolutions.
The LLM boosted task success and streamlined workflows with contextual guidance and role-aware suggestions that helped users move faster and smarter.
My personal learnings
What a project this was. Full of unknowns and constant change. Very little initial direction or requirements, it became an exercise in close collaboration with engineering and product. I had to get comfortable moving fast, testing early, and making progress without having all the answers. Definitely one of those projects that pushed me out of my comfort zone and challenged me to explore new patterns of user interaction. It sharpened my ability to make decisions in ambiguity, communicate ideas clearly, and stay grounded in user value. This project helped me grow as a designer: More adaptive, more collaborative, and more focused on what truly matters to users.
