Impact
%
Ticketing support query
Saving
.
day
Average ticket resolving time
Time
+
Time saved per team member per week
Design Approach
I took ownership of the entire lifecycle of this feature. I advocated for a "Review-First" philosophy. I moved the user from a state of searching to a state of validating.
Design Philosophy
It was a more complex technical challenge, but it was the only solution that truly aligned with our design principles and solved the core emotional need to feel heard. A simple chat interface on the front-end required a robust, intelligent system on the back-end. Guided by our Empower, Don't Overwhelm principle, I designed the Information Architecture to support this.
Human Authority Over Automation
Pure automation is risky with regulatory data. My philosophy was to use AI as a high-speed research assistant, not a replacement. The UI was designed to present suggestions, requiring a human to "Verify & Commit."
Provenance & Trust
AI can "hallucinate." To counter this, I implemented Source Mapping. For every answer the AI generated, the UI provided a direct link or highlight to the specific paragraph in the source document where that data originated.
Key features
Centralizes customer requests from fragmented channels, streamlining internal collaboration and ensuring consistent ownership of client issues.


Backend workflow for ticket management including SLAs, escalations, and access permissions.






