Determination of task automation using an artificial intelligence model

A device, comprising:

• one or more memories;
• and
• one or more processors communicatively coupled to the one or more memories, configured to:
• process, using a machine learning model, entity role data to identify a task associated with a role of an entity,
• wherein the entity role data is specific to the entity;
• determine, using the machine learning model, a task automation score associated with the task,
• wherein the task automation score is associated with a probability that the task is capable of being automated;
• determine, using the machine learning model, a set of automation category scores for the task,
• wherein the machine learning model is trained based on standardized data that is associated with standardized role descriptions of standardized roles, standardized task descriptions of standardized tasks, and standardized automation category descriptions of standardized automation-capable tasks;
• classify, based on the set of automation category scores, the task as being associated with an automation category of a plurality of automation categories that are associated with the standardized automation-capable tasks;
• and
• perform an action associated with the task automation score and the automation category.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive entity data that is associated with a role of an entity;
• process, using an automation category prediction model, the entity data to determine task automation information that is associated with tasks of the role,
• wherein the automation category prediction model is configured to determine the task automation information based on an entity-specific task description of the role in the entity data, standardized role descriptions that are associated with standardized roles, and standardized task automation descriptions that are associated with standardized automation-capable tasks;
• process, using an adaptive workforce model, the entity data to determine adaptive workforce information that is associated with resources of the entity,
• wherein the adaptive workforce model is configured to determine the adaptive workforce information based on entity resource information in the entity data, the task automation information, and standardized workforce descriptions associated with standardized workforce types;
• process, using a skills analysis model, the entity data to determine a skills recommendation associated with the role,
• wherein the skills analysis model is configured to determine the skills recommendations based on standardized skill descriptions associated with the standardized role descriptions;
• and
• perform an action associated with the task automation information, the adaptive workforce information, or the skills recommendation.