A LLM-driven chatbot & AI platform integration to expedite tedious user workflows.

My Role

Lead UI and interaction designer

Year

2024

Org

fabric Inc.

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Main Project Image
Main Project Image

What was tackled

The fabric platform was growing, but some core workflows were showing strain. We saw an opportunity to bring in AI to reduce friction and help users get things done faster. The challenge was making the LLM feel genuinely useful and not just another product feature.

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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.

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Large Project Gallery Image #2
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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.

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Project Gallery Image for 50% width of the screen #2
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Project Gallery Image for 50% width of the screen #1
Project Gallery Image for 50% width of the screen #1
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Large Project Gallery Image #1
Large Project Gallery Image #1