Dynamic configuration and population of digital interfaces during programmatically established chatbot sessions

A computer-implemented method, comprising:

• receiving, using at least one processor, first messaging data associated with a request to access a first digital interface, the first messaging data being received from a device during a communications session established with an application program executed by the device;
• determining, using the at least one processor, a candidate input value for a first interface element of the first digital interface, and based on an application of a trained machine-learning or artificial-intelligence process to an input dataset that includes at least a portion of an element of metadata associated with the first interface element, generating, using the at least one processor, textual content comprising linguistic elements that characterize at least one of the first interface element or the candidate input value;
• using the at least one processor, generating second messaging data that includes the candidate input value and the textual content, and transmitting the second messaging data to the device, the second messaging data being transmitted during the established communications session, and the device being configured to present the textual content and the candidate input value within a second digital interface associated with the established communications session;
• receiving, using the at least one processor, third messaging data from the device during the established communications session, the third messaging data comprising a confirmation of the candidate input value, and the third messaging data being generated by the executed application program;
• and
• based on the third messaging data, generating, using the at least one processor, first populated interface data that associates the first interface element with the confirmed candidate input value, and storing, using the at least one processor, the populated interface data within a portion of a data repository.

A tangible, non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform a method, comprising:

• receiving first messaging data associated with a request to access a first digital interface, the first messaging data being received from a device during a communications session established with an application program executed by the device;
• determining a candidate input value for a first interface element of the first digital interface, and based on an application of a trained machine-learning or artificial-intelligence process to an input dataset that includes at least a portion of an element of metadata associated with the first interface element, generating textual content comprising linguistic elements that characterize at least one of the first interface element or the candidate input value;
• generating second messaging data that includes the candidate input value and the textual content, and transmitting the second messaging data to the device, the second messaging data being transmitted during the established communications session, and the device being configured to present the textual content and the candidate input value within a second digital interface associated with the established communications session;
• receiving third messaging data from the device during the established communications session, the third messaging data comprising a confirmation of the candidate input value, and the third messaging data being generated by the executed application program;
• and
• based on the third messaging data, generating first populated interface data that associates the first interface element with the confirmed candidate input value, and storing, using the at least one processor, the populated interface data within a portion of a data repository.