Agentic UX for Google’s Manufacturing Software, Powered by AI/ML
Agentic UX for Google’s Manufacturing Software, Powered by AI/ML
Designed an AI-Powered Device Insights Hub for smart manufacturing that replaces manual data analysis with trustworthy AI summaries, serving as the foundation for conversational analytics.
Google | 2024 – 2025
One-Click AI Summarization, instantly generate a structured AI summary from historical data with a single click, removing the need for manual aggregation and synthesis.
Unified Device Insights, automatically aggregate signals from multiple data sources into a single, trustworthy AI-generated summary with traceable references.
Conversational Deep-Dive, enable to explore data through natural-language prompts—quick lookups, commonality analysis, and trend visualization—without switching tools.
My Role
Lead Product Designer - Feature Scoping, User Research, Data-Driven UX, Interaction Design, Visual Design, Prototyping, AI-Driven Workflows
Team: 10+ Members
TPMs, and Engineers
Timeline & Status
2024 – 2025
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.
Due to confidentiality, this case study is shared by request.
Happy to walk through the details or provide access!
Due to confidentiality, this case study is shared by request.
Happy to walk through the details or provide access!
Works
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2025 Bryan Oh • Product Designer 😉
© 2026 · Forged in pixels, shaped by chaos—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”