Avomotion had spotted a real market need and secured interest from MRC Vaudreuil-Soulanges, but they needed to move from concept to working prototype to close their first software contract. They faced multiple uncertainties: what should the product actually do, how should users interact with it, and could AI reliably handle the cryptic, fragmented grant information without hallucinating? As first-time software builders, they needed someone who could both clarify the undefined idea and execute the technical build—all while keeping them confident in a process entirely new to them.

We worked together over two months to bring their vision to tangible reality. Through discussions with both the Avomotion team and representatives from MRC Vaudreuil-Soulanges, we defined what the prototype needed to accomplish and designed the user experience around their actual workflow. We built an AI-powered solution that collects and standardizes grant information from disparate sources, making it searchable and accessible in one place. We added a conversational agent that guides users through describing their projects and identifies relevant grants automatically. Using agile iteration, we gathered feedback early and often, allowing us to course-correct on the user experience while rigorously testing to ensure the AI handled complex, fragmented data without hallucinating false information.