Abstract: In some embodiments, a method for incident ticket management includes receiving input data having information relating to one or more incidents, classifying each incident of the one or more incidents, escalating an incident of the one or more incidents based, at least in part, on at least one of the classification of each incident or a prioritization level associated with each incident and generating a resolution for the incident, the resolution including at least one of a solution to the incident or an assignment of the incident to a related team.

Abstract: Methods, systems, and computer-program products for creating a model for predicting error propensity are disclosed. The method includes receiving input data including historical know your client (KYC) audit cases and associated error data, extracting KYC audit attributes from the historical KYC audit cases and associated error data, receiving analyst attributes, constructing a dataset from input variables including at least one of the KYC audit attributes or the analyst attributes, creating at least one artificial intelligence (AI) model based, at least in part, on the dataset, and selecting one of the at least one AI model for predicting error propensity for a customer due diligence process.

Abstract: Methods, systems, and computer-program products for ticket management. The methods, systems, and computer-program products include receiving input data having information relating to one or more incidents, classifying each incident of the one or more incidents, escalating an incident of the one or more incidents based, at least in part, on at least one of the classification of each incident or a prioritization level associated with each incident and generating a resolution for the incident, the resolution including at least one of a solution to the incident or an assignment of the incident to a related team.