Abstract: A device may process, using a first model and based on an entity-specific task description that is included in entity role data and that is associated with a role, the entity role data to identify a task associated with the role. The device may determine, using a second model and based on the entity-specific task description and standardized descriptions of automation-capable tasks, a task automation score associated with the task. The device may determine, using a third model and based on a characteristic of the task and mappings of standardized characteristics to a plurality of automation categories, a set of automation category scores for the task. The device may classify, based on the set of automation category scores, the task as being associated with a particular automation category, and may perform an action associated with the task automation score and the particular automation category.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving dispute resolution information from a user corresponding to a dispute, wherein the dispute resolution information comprises a first data input and a second data input; analyzing, with a first machine learning module in a first tier of a machine learning engine, the dispute resolution information from the user to identify a dispute reason; analyzing, with at least one of second and third machine learning modules in a second tier of the machine learning engine, the dispute resolution information based on the dispute reason, as identified; and determining a dispute resolution based on an output of the second tier of the machine learning engine to resolve the dispute. Other embodiments are disclosed herein.

Abstract: A device may process, using a first model and based on an entity-specific task description that is included in entity role data and that is associated with a role, the entity role data to identify a task associated with the role. The device may determine, using a second model and based on the entity-specific task description and standardized descriptions of automation-capable tasks, a task automation score associated with the task. The device may determine, using a third model and based on a characteristic of the task and mappings of standardized characteristics to a plurality of automation categories, a set of automation category scores for the task. The device may classify, based on the set of automation category scores, the task as being associated with a particular automation category, and may perform an action associated with the task automation score and the particular automation category.