Deep learning is a powerful branch of Machine Learning that learns from historical data to make independent decisions. It is typically used to analyze large amounts of data for solving classification problems. An example could be to identify potential support for a syndicated loan. There are many more classification tasks in loan syndications currently performed by humans. Through using Deep Learning we can bring a bit more science to the art of bookrunning, leading to greater accuracy and transparency.