US 12,341,768 B2
Computer-based systems configured to automatically generate communication scripts on a computing device and methods of use thereof
James Ashfield, Midlothian, VA (US); Clayton Johnson, Edgewood, MD (US); and Daniel Alan Jarvis, Vienna, VA (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Jun. 6, 2023, as Appl. No. 18/329,819.
Prior Publication US 2024/0414149 A1, Dec. 12, 2024
Int. Cl. H04L 9/40 (2022.01); H04L 67/141 (2022.01)
CPC H04L 63/083 (2013.01) [H04L 63/1416 (2013.01); H04L 63/1425 (2013.01); H04L 67/141 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving, by one or more processors, a permission indicator from a computing device of a user identifying a permission by the user to detect a plurality of interaction sessions being initiated by the computing device;
registering, by the one or more processors, the computing device of the user to generate user-specific token data;
instructing, by the one or more processors, the computing device to monitor for a plurality of activities associated with at least one of the plurality of interaction sessions that the computer device initiates with at least one other computing device associated, based on a prestored database of token data associated with a plurality of entities, with at least one entity;
receiving, by the one or more processors and in response to detecting at least one of the plurality of interaction sessions being initiated by the computing device, an indication of a current interaction session being initiated at a current period of time to the at least one other computing device associated with a particular data point stored with the prestored database of token data, wherein the particular data point is associated with the at least one entity;
automatically determining, by the one or more processors and in response to receiving the indication of the current interaction session being initiated at the current period of time, a plurality of indicative vectors associated with the computing device;
automatically inputting, by the one or more processors, the plurality of indicative vectors in to at least one machine-learning model to obtain a risk metric associated with the computing device;
automatically authenticating, by the one or more processors, the computing device associated with the user based on a comparison of the risk metric to the user-specific token data associated with the user to generate an authentication status associated with the computing device;
transmitting, by the one or more processors and based on the authentication status associated with the computing device, the current interaction session to an interaction queue of at least one agent associated with the at least one entity; and
automatically generating, by the one or more processors, an interaction script for the at least one agent based on the authentication status and the user-specific token data associated with the user.