Schneider Electric
Introduction: Define the navigation and AI interaction model to unify UX across the platform.
Role: Visual Designer
Industry: energy management and automation
Duration: Q3 2025
Tools: Figma, After Effects.
Understanding the context
Schneider Electric is a large retail enterprise with global operations who are open to AI and self-service and require scalable, configurable solutions to manage sustainability as a core strategic priority rather than a compliance checkbox.
The problem
Today’s navigation and AI functionality lacks focus, task orientation, and scalability.
The goal
Navigation: Define the navigation and AI interaction model to unify UX across the platform.
Sera: Design the behaviors and interaction patterns for Schneider Electric’s lead AI agent
Key pillars that enable task-based navigation today and set the foundation for an AI-driven future.
01
Core navigation
Quickly navigate to key tasks /actions
02
Intent-based navigation
Decrease time to action via natural language nav
03
AI conversation management
Return to previous work through conversations.
Users can navigate to key tasks & actions more efficiently.
Decrease the time to action via natural language navigation.
Users can quickly return to previous work through saved conversations with SERA.
Design library extension recommendations
Key findings
Several elements within the design system are viable for reuse but require targeted enhancements to ensure accessibility, and support for new user experiences.
1. Iteration
2. Evolution
3. Extension
Outcomes driven.
MLP focused designs to speed up delivery & elevate the experience.
AI-native capabilities to lay a foundation for future platform growth.
Evolved design system that expresses the intelligence & fluidity of a new era.