MACHINE LEARNING and gen ai
Supporting conversational AI applications company-wide
Type:
Mobile, Desktop, Design System, AI, E-Commerce, Conversational Commerce
Year:
2024
Designing a platform where teams can build conversational applications using scalable design systems
Challenge
Aligning multiple teams around a unified design system while accommodating the complex, evolving capabilities of machine learning and generative AI.
Ensuring the conversational experiences remain intuitive and human-centered across diverse use cases and user needs.
OPPORTUNITY
Establish scalable design foundations that not only support innovation, but also set the standard for responsible, accessible AI-driven experiences across the organization.
Shape the future of conversational UX by collaborating closely with data science and engineering teams, transforming complex AI models into simple, meaningful interactions that drive real business impact and user satisfaction.
APPROACH
Guided the growing design team through a period of change, aligning cross-functional partners on product goals and ensuring execution through clear vision and direction.
Led post-acquisition integration by managing timelines, resources, and deliverables, while developing a scalable roadmap aligned with evolving business objectives.
Established long-term design goals and launched a design system to accelerate the creation and deployment of voice and chat interfaces across teams.
Directed the design of a scalable platform structure that balanced simplicity for new users and flexibility for experts, enabling intuitive navigation across complex workflows and laying the foundation for future growth.
Impact
Achieved 200% growth in platform adoption within one year.
Enabled teams to build their own design systems, reducing dependency on the Core Design System team.
Empowering designers to create consistent, scalable experiences, streamlining collaboration with engineering partners.
Providing confidence with clear starting points, reducing decision fatigue for designers.
