Conversational & Agentic AI
Product Design
Designing AI-native interfaces at enterprise scale — from quick answers to complex, multi-step agentic workflows
TriNet provides HR and payroll support for over 23,000 businesses. Because the platform handles sensitive data for 500,000+ people, our move into AI had to be accurate and secure. I led design for these experiences across mobile and web — establishing new interaction patterns for 500k+ users where no conventions existed. The work progressed from surfacing quick answers to enabling complex, multi-step agentic workflows across voice, text, and dynamic dashboards.
Quick Answers
A dashboard focused on surfacing quick answers, reducing the need to hunt through menus.
Voice & Chat
Allowing users to switch between text and voice to complete multi-step tasks, like requesting time off.
Assistant (Bottom Bar Exploration)
A persistent helper that can handle complex tasks in the background.
Assistant (FAB Exploration)
A persistent helper that can handle complex tasks in the background.
Other scenarios and edge cases
Successful quick answer
Unsuccessful: No info available + feedback
Unsuccessful: Do not understand
Dark mode and other interactions
Autosuggestions
Animated loaders
Other relevant links and feedback
Dynamic Dashboard
Interaction design for a conversational search, with dynamic dashboard
Inline Context
An exploration of page-aware AI. The system can read the user's specific time off plans to provide tailored feedback on compliance or other topics.
