The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 26, 2024

Filed:

May. 13, 2022
Applicant:

Truist Bank, Charlotte, NC (US);

Inventors:

Sudeshna Banerjee, Waxhaw, NC (US);

Paul Gerard Mistor, Winston-Salem, NC (US);

Assignee:

TRUIST BANK, Charlotte, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 51/02 (2022.01); G06F 16/35 (2019.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06Q 20/10 (2012.01); G10L 15/22 (2006.01); H04L 51/046 (2022.01); H04M 3/493 (2006.01); H04M 3/51 (2006.01); H04M 3/22 (2006.01);
U.S. Cl.
CPC ...
G06Q 20/108 (2013.01); G06F 16/35 (2019.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G10L 15/22 (2013.01); H04L 51/02 (2013.01); H04L 51/046 (2013.01); H04M 3/493 (2013.01); H04M 3/5166 (2013.01); G10L 2015/223 (2013.01); H04M 3/2281 (2013.01);
Abstract

An artificial intelligence (AI) system for guiding a user interaction in a phone call or chat session. The system includes a computer running an AI algorithm, such as a machine learning algorithm, which is trained to recognize patterns in user interaction dialog which lead to satisfactory outcomes for the user. The system may operate in a completely autonomous mode, or the system connect a human agent in the loop. The algorithm adaptively guides the dialog to achieve a favorable outcome based on the current status of the dialog—including identifying a next question to ask, information to provide, or an action to take. The algorithm is trained via supervised learning using real dialog transcriptions from past user interactions which have been supplemented with decision points and outcomes. After deployment, update training may be performed on the algorithm using data captured by the system after the user interactions.


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