Enterprise ML/AI requires means to support audit trails explaining the reasons for a certain decisions taken, hence explainability of the models is of paramount importance. This can be a trade-off between having a complex deep-learning model viz-a-viz a more shallow model. It is known that most deep learning models are black boxes, which use accuracy as a metric to defend and are not explainable. These models are not fit for Financial, Healthcare and other applications. Gyrus has complimentary explainability models to the actual model, giving the reasoning to the decision making for multi-layer models as well.