About 85% of AI projects fail, primarily due to poor use cases. Greg Nudelman, author of "UX for AI," emphasizes that many initiatives miss the mark because they don't address real user needs. He illustrates this with a flawed example of AI for monitoring natural gas purification, where the technology cannot replicate the intuitive decisions of experienced operators. Similarly, in AI art generation, businesses may see value in cutting costs by eliminating artists, but users lack a genuine problem that AI art solves, turning it into a novelty rather than a necessity. Without addressing user pain points, projects risk losing trust, adoption, and ROI. Storyboarding emerges as a vital tool for designers to clarify and test use cases. By mapping out user journeys visually, stakeholders can pinpoint assumptions and flaws. Nudelman’s example of a mental health app shows how a scenario can shift from an unrealistic use case—seeking help in a coffee shop—to a more relatable one focused on social anxiety. This approach not only aligns with user behavior but also meets business needs effectively. To run a productive storyboarding session, it’s crucial to gather the right people, starting with the user's context rather than the solution. Keep sketches simple, focusing on actions and transitions, and consistently ask "why?" to challenge assumptions. The exercise shouldn't drag on; it's about exposing weaknesses before they lead to costly mistakes. In the age of AI, strategic designers play a key role in ensuring that user needs remain central, countering the tendency to prioritize technical ambitions over practical utility.