The granular nature of AI makes it more dynamic and accurate relative to man-made credit risk models. Its accuracy is driven by exponentially more data than a regular model, and as such has the capacity to speed up the analyst, focus analytical efforts, and fill in with greater reliability than a regular model. This allows the analyst to get on with more in-depth analysis with confidence.