We first built an MVP AI innovation engine in a four-week sprint to prove the concept and secure funding for future development. With funding in place, we entered the next phase: refining the user experience, expanding functionality, and improving process efficiency. This case study covers that evolution, as we transformed the MVP into a scalable platform for multi-brand innovation and collaboration.

As Lead AI Product Designer, I evolved the MVP into an enterprise-ready platform centered on user trust, explainability, and multi-brand adoption. I redesigned the experience from a linear workflow into a dynamic, all-in-one workspace where users could generate, compare, and refine opportunity spaces and concepts in a single flow. I also introduced an image studio to enhance visualization and give the user more control in the creative process. The platform advanced from an MVP to a highly intuitive, multi-flow workspace, enabling faster, clearer, and more collaborative innovation across teams and brands.