Established a unified AI design framework across 4 teams, creating consistent visual language, interaction patterns, and governance.
Problem
4 teams were shipping AI features independently, creating 6 different interaction patterns and 3 competing visual languages
Before
From Siloed AI Features to a Unified Platform Experience
Design Goals
• Unified AI design across 4 teams with shared components, patterns, and governance
• Establish a single AI interaction model that scales across all products without team-by-team negotiation.
Solution
Our direction was grounded in support data, GTM feedback, and usage analytics, which revealed recurring friction and discoverability issues across all four teams.
I brought together designers from four teams to map the fragmentation and align with AI feature owners on a shared roadmap. We defined a unified interaction model, shared components, and governance to ensure consistency across products.
After
Creating a Unified AI Design Language
Two capabilities, one experience. The AI assistant answers questions in any language. Ask for your top campaigns by return on ad spend and get a clear, structured table in seconds. Embedded directly in the dashboard, it adapts to the widget you are viewing and surfaces relevant questions to guide your next move.
The executive summary goes further. Ask for a weekly recap and the AI analyzes all your data, highlights what changed, and tells you where to look next.
After
AI embedded throughout the user journey
Outcome
Our unified AI UX framework achieved a 30% reduction in support tickets, faster resolution times, and improved customer satisfaction, serving as an early example that paved the way for the product vision of autonomous marketing workflows.