Broad access institutions serve a key role in providing education to non-traditional students. We introduce findings from the first year of a five-year Gates Foundation Grant at Western Governors University that aims to identify and solve equity gaps in access, attainment, and outcomes at institutions in collaboration with external academic researchers. This agenda will focus on how institutions can better operationalize academic transcript data from students’ current and prior institutions to inform course planning and articulation agreements. We also explore how Natural Language Processing can act as augmented intelligence for college counselors and early warning systems. Lastly, we consider how this work can be used to construct a virtuous cycle of qualitative and quantitative work informing one another for institutional improvement.