| CPC G06Q 10/0635 (2013.01) [G06N 20/00 (2019.01)] | 20 Claims |
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1. A computer implemented method, comprising:
training a machine learning model with input materials and output materials from a plurality of prior risk assessments, wherein the input materials comprise text-based documents from prior manually processed initiative requests, the text-based documents comprising a plurality of intake forms, a plurality of answered questions, and a plurality of slide presentations, and wherein the output materials comprise risks and mitigations previously generated in response to the input materials;
generating, by one or more processors, using the machine learning model, a risk assessment for an initiative request received from an intent requestor, wherein the risk assessment comprises one or more risks and one or more mitigations;
displaying a risk assessment interface that presents summary information for the risk assessment, the one or more risks in association with the one or more mitigations, and a feedback interface that allows the intent requestor to provide feedback for each risk in the one or more risks;
receiving the feedback from the intent requestor, wherein the feedback comprises a relevancy indicator and an accuracy indicator; and
retraining the machine learning model based on the relevancy indicator and the accuracy indicator to cause the machine learning model to provide more accurate results in response to a future initiative request.
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