A few years ago, while serving as a Product Manager, I identified a significant gap in our technology: we were lacking an efficient machine learning capability. This deficiency was hindering our ability to fulfill certain client projects that required advanced analytics. After conducting a cost-benefit analysis, we determined that developing this capability in-house would be both expensive and time-intensive. We weighed the options of buying versus forming a partnership and opted to pursue partnerships. We evaluated several AI companies, examining their machine learning technologies, expertise, client reviews, and financial implications. Ultimately, we chose to partner with one that offered a strong product, had a good reputation, and whose pricing aligned with our budget. This partnership not only quickly filled our technology gap but also provided us with access to top-level expertise in the domain. Additionally, our team gained valuable insights from this collaboration, enhancing our internal knowledge base. We included key stakeholders throughout the entire decision-making process to ensure that all viewpoints were taken into account.