The rapid ascent of Generative AI has disrupted traditional UX workflows, forcing teams to move beyond "business as usual." At Red Hat, our User Experience Design team is navigating this shift by integrating AI directly into our research and design processes to increase velocity by transforming raw feedback into polished design updates faster than ever before.

In this session, we share a transparent look at our journey toward becoming an AI-first UX team. We will showcase real-world applications of AI-driven tooling, including:

- Augmented Research Synthesis: Using custom scripts and LLMs to extract user needs and pain points from hours of meeting transcripts in seconds.
- Prototyping with Code: Leveraging AI-powered code editors like Cursor to deliver interactive prototypes built on our design system, moving beyond the limitations of static Figma mocks.
- Quality Agents: Deploying numerous AI agents to ensure design and content consistency across complex product features.

The Perspectives

We believe the "human" side of AI adoption is just as important as the tech. Our discussion features three distinct viewpoints:
- The Strategist: Tasked with identifying an AI roadmap and managing the cultural and procedural rollout.
- The Architect: An AI-savvy designer who embraced the tech early and built the custom tooling empowering the rest of the team.
- The Skeptic: A self-described "AI newb" who values stability and will share the honest challenges of being pushed into an AI-driven workflow.

We’ll talk about:
- How our UX team identified and built AI-driven tools to solve specific workflow bottlenecks.
- Challenges we encountered while shifting a team’s culture and processes toward an "AI-first" mindset.
- Lessons we’ve learned from our experience and what we see coming next for the UX craft.