Agentic UX for Google’s Manufacturing Software, Powered by AI AI/ML
Google, DSPA — March 2022 – Present
My Role
Lead Product Designer - Feature Scoping, User Research, Data-Driven UX, Interaction Design, Visual Design, Prototyping, AI-Driven Workflows
Team: 13+ Members
TPMs, and Engineers
Timeline & Status
3 Years | Ongoing
My Challenges in This Project
- How can I design agentic AI workflows that intuitively integrate into Googles manufacturing platforms, ensuring seamless Human-AI collaboration?
- How can I transform complex data into clear, actionable insights through UI design, maintaining user autonomy and trust via transparent interactions?
Overview
A centralized system for gathering and examining data produced in manufacturing plants is offered by a manufacturing data analytics tool. This centralized solution enables the creation of an autonomous, intelligent global operating system by facilitating Smart Manufacturing.
As the Product Designer for an innovate smart manufacturing software team, I designed agentic workflows with conversational UI and summarization tools, to enable seamless interaction with complex manufacturing data.
I designed a spectrum of Human-AI Collaboration, integrating AI capabilities into the existing dashboard using approaches like natural language (NL) to simplify manual inputs and omnipresent AI features for seamless task support.
View the full case study here.
Works
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Made with love © 2025 Bryan BeomSeok Oh
2025 Bryan Oh • Product Designer 😉
Designing for clarity, solving with intent. Currently crafting UX for manufacturing analytics—powered by Bubble tea🧋.
“The technology we design to make life easier should not only understand our needs but also recognize our struggles, reminding us that true innovation begins with empathy.”
"AI-driven UX should be empathetic, empowering users with seamless agentic workflows that adapt to their needs”