Amby

Led UI/UX for AI-Driven Maintenance & Troubleshooting Platform

Overview

Amby is an AI-powered platform that helps manufacturing technicians diagnose and fix complex CNC and industrial machines faster. I joined the company as a front-end engineer, but quickly transitioned into a UX-focused product role where I now lead design decisions, craft product flows, and shape our AI-first user experience across web, mobile, and iPad.

Over a year and a half, the product evolved from a simple remote support webapp into a multi-platform, AI-guided troubleshooting tool, used by technicians at aerospace, automotive, and medical device manufacturing sites.

At a Glance

Role: Product Designer (UX/UI)

Platforms: iPad, mobile, web

Core Work: AI interaction design, UX flows, prototyping, UI systems

Impact: Improved troubleshooting efficiency for technicians across aerospace & manufacturing

Key Contributions:

Designed AI-first user flows for machine diagnostics
Simplified event creation & remote support processes
Built component libraries + multi-device layouts
Collaborated with engineers & AI teams on product direction

The Problem

Technicians lose hours each week trying to diagnose machine failures using outdated manuals, tribal knowledge, or waiting for remote support.
Common challenges included:

Hard-to-find troubleshooting steps
Reliance on expert technicians with limited availability
No structured way to record incidents or machine history
Slow, confusing interfaces on the shop floor
Limited mobile access for technicians working hands-on with machines

Amby's goal:
Reduce machine downtime by giving technicians answers instantly — before involving remote support.

Process

01. Initial Web App: Remote Support First

The earliest version focused on incident reporting and live remote support.
The UX was desktop-heavy, built for office staff rather than technicians on the shop floor.

Issues identified: