 Many of us are familiar with the admissions process, but a lot happens behind the scenes that the average person does not know about. This is called enrollment management. Enrollment managers have the challenging job of creating the perfect class, which includes admitting students that are academically competitive, diverse, and can help the college meet their bottom line. This is a hard job, so many four-year colleges and universities rely on predictive analytics. The process of who gets accepted is often tied heavily into data and algorithms that help enrollment managers build their class. Based on variables such as how often a student visits the campus, SAT and ACT scores, and more, colleges use these indicators to predict which students are likely to enroll in the fall. This final output is referred to by the colleges as their yield. This predicted yield can determine which students receive an acceptance letter and which do not. This means that systemic racism is entrenched in the data, which makes it more difficult for black and brown students to access college. The automation of admissions is leaving students of color behind in their pursuit of a degree. But all is not lost. Institutions can make transformative changes with three critical recommendations to mitigate the racial equity gaps to college access. One, think critically about data points highly correlated with race, like zip code, SAT scores, and private high schools. Two, use multiple statistical techniques to identify if model outputs differ by race. Three, bring multiple departments together to build on strengths of admissions officers, financial aid, student affairs practitioners, and institutional researchers. With these three critical recommendations, four-year colleges and universities can begin to move the needle in admitting a more racially diverse class.