| CPC G06F 8/10 (2013.01) [G06F 8/20 (2013.01)] | 20 Claims |
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1. A computer-implemented method for improving an onboarding process of a use case received from a user device using machine learning by automatically evaluating a potential to implement machine learning on the use case and automating the onboarding process, the computer-implemented method comprising:
receiving, by one or more processors, an initial use case data set from a user device;
processing, by the one or more processors, the initial use case data set using a trained tractability machine learning model to generate a first determination of whether the use case is machine learning tractable, wherein the trained tractability machine learning model is trained using historical tractability data from past use cases which were determined to be either machine learning tractable or not tractable;
generating, by the one or more processors, an onboarding machine learning model for solving the use case based at least upon the first determination that the use case is machine learning tractable;
receiving, by the one or more processors, a feedback data set related to the onboarding process of the use case from one or more of the user device or a third party device; and
processing, by the one or more processors, the initial use case data set and the feedback data set using the generated onboarding machine learning model.
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