Lumini was responsible for developing a Lead Qualification Cognitive Engine, utilizing advanced Artificial Intelligence & Machine Learning techniques. Through a Lead Scoring and Propensity algorithm, we calculate the individual conversion probability for each lead. This algorithm is used to assign a score to potential customers (leads) based on their probability of being converted into sales. It is developed using historical sales data and information about the leads, such as their demographic characteristics, purchasing behavior, and interactions with the company. The result was used in the second model, Lead Recommendation, where a match was made between brokers and potential clients. Thus, we developed a ranking among brokers, with a higher propensity for sales, according to their sales and service characteristics, as well as their availability, maintaining fair play among brokers to ensure more balanced service.