Artificial intelligence enterprise application framework

A method for providing machine-learning-based analysis of communications on a communication platform, the communication platform providing communication between an internal user within an organization and a plurality of external users outside the organization, the internal user belonging to one of a plurality of user groups in the organization, the method comprising:

• constructing embedding representations based on a plurality of messages between internal users of the organization and the plurality of external users, the internal users of the organization including the internal user within the organization;
• retrieving, based on the user group the internal user belongs to, a subset of embedding representations from the embedding representations;
• determining a synthesis for an external user, wherein the determining the synthesis comprises:
• providing the subset of embedding representations to one or more machine-learning models;
• and
• receiving one or more outputs from the one or more machine-learning models, wherein the one or more outputs indicate the synthesis;
• displaying, on a device associated with the internal user, a graphical user interface comprising a graphical user interface object representing the synthesis.

A system for providing machine-learning-based analysis of communications on a communication platform, the communication platform providing communication between an internal user within an organization and a plurality of external users outside the organization, the internal user belonging to one of a plurality of user groups in the organization, the system comprising:

• a device comprising a display, the device associated with the internal user;
• and
• one or more processors configured to communicate with the device and perform a method comprising:
• constructing embedding representations based on a plurality of messages between internal users of the organization and the plurality of external users, the internal users of the organization including the internal user within the organization;
• retrieving, based on the user group the internal user belongs to, a subset of embedding representations from the embedding representations;
• determining a synthesis for an external user, wherein the determining the synthesis comprises:
• providing the subset of embedding representations to one or more machine-learning models;
• and
• receiving one or more outputs from the one or more machine-learning models, wherein the one or more outputs indicate the synthesis;
• displaying, on the display, a graphical user interface comprising a graphical user interface object representing the synthesis.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform a method for providing machine-learning-based analysis of communications on a communication platform, the communication platform providing communication between an internal user within an organization and a plurality of external users outside the organization, the internal user belonging to one of a plurality of user groups in the organization, the method comprising:

• constructing embedding representations based on a plurality of messages between internal users of the organization and the plurality of external users, the internal users of the organization including the internal user within the organization;
• retrieving, based on the user group the internal user belongs to, a subset of embedding representations from the embedding representations;
• determining a synthesis for an external user, wherein the determining the synthesis comprises:
• providing the subset of embedding representations to one or more machine-learning models;
• and
• receiving one or more outputs from the one or more machine-learning models, wherein the one or more outputs indicate the synthesis;
• displaying, on a device associated with the internal user, a graphical user interface comprising a graphical user interface object representing the synthesis.