Your role: Lead UX Designer, UI Designer, or whatever your role was.
Problem Statement:

Describe the challenge: e.g., "Users struggled with static dashboards that didn’t align with their workflows. They needed tailored, actionable insights to improve efficiency."
Mention any specific research or pain points that informed the project.
Research and Discovery:

User interviews, surveys, or data analysis you conducted.
Insights gained: "Users needed drag-and-drop features, AI-driven recommendations, and real-time updates."
Design Process:

Ideation and sketches or wireframes.
Prototyping and usability testing.
Challenges and how you overcame them, e.g., balancing simplicity with AI complexity.
AI Integration:

Explain how AI played a role: "The system suggests widgets based on user behavior or preferences using AI."
Highlight any collaboration with developers or data scientists.
Outcome:

Visuals: High-fidelity mockups, interactive prototypes, or screenshots.
Metrics: Increased user engagement, reduced time to insights, or any specific KPIs.
Reflection:

Lessons learned: e.g., "Iterative user testing was key to refining complex AI-driven features."
Next steps or how it could evolve.