Role
Lead Product Designer
Year
2025
Company
ProtegeAi
Focus
Impact
Incident response time
Reduced shoplifting response from minutes to under 15 seconds
Dev estimation reduced
FlutterFlow-optimized component library cut development time
Visual fidelity
Design-to-code parity ensured through platform-aligned components
The Challenge
Physical retailers lose billions annually to shrinkage, yet most security systems are reactive rather than proactive. ProtegeAi needed a mobile interface that could bridge the gap between AI detection and human intervention — a professional-grade security tool that felt as intuitive as a consumer app, allowing store managers to triage incidents instantly without technical training.
"We need a system that doesn't just watch; it alerts and guides the user to the exact moment an incident begins."
— Stakeholder
The Solution
A mobile-first platform focused on real-time triage and legal compliance. Drawing from benchmarking of Verkada and Ring, I implemented a neutral, high-trust visual language with high-contrast alerts.
Incident Triaging
One-tap verification system (True/False) that validates AI detections in seconds.
Guided Compliance
Legal guardrails displaying reminders to agents before suspect interaction, mitigating corporate liability.
Analytics Dashboard
Complex security logs converted into actionable KPIs including resolution time and high-risk sectors.
Reflection
Designing specifically for the FlutterFlow ecosystem taught me that true UX excellence comes from understanding the medium. By aligning the design system with platform-specific widget logic early on, we eliminated the typical design-to-dev friction, resulting in a production-ready product in record time.