US 12,217,318 B2
AI-augmented auditing platform including techniques for automated document processing
Chung-Sheng Li, Scarsdale, NY (US); Winnie Cheng, West New York, NJ (US); Mark John Flavell, Madison, NJ (US); Lori Marie Hallmark, Xenia, OH (US); Nancy Alayne Lizotte, Saline, MI (US); Anand Srinivasa Rao, Lexington, MA (US); Kevin Ma Leong, Randolph, NJ (US); Di Zhu, Jersey City, NJ (US); Timothy Delille, New York, NY (US); Maria Jesus Perez Ramirez, New York, NY (US); Yuan Wan, Irvine, CA (US); Ratna Raj Singh, Mumbai (IN); Vishakha Bansal, Meerut (IN); Shaz Hoda, New York, NY (US); Amitoj Singh, New Delhi (IN); and Siddhesh Shivaji Zanj, Mumbai (IN)
Assigned to PwC Product Sales LLC, New York, NY (US)
Filed by PwC Product Sales LLC, New York, NY (US)
Filed on Jun. 30, 2022, as Appl. No. 17/854,348.
Claims priority of provisional application 63/217,123, filed on Jun. 30, 2021.
Claims priority of provisional application 63/217,119, filed on Jun. 30, 2021.
Claims priority of provisional application 63/217,134, filed on Jun. 30, 2021.
Claims priority of provisional application 63/217,131, filed on Jun. 30, 2021.
Claims priority of provisional application 63/217,127, filed on Jun. 30, 2021.
Prior Publication US 2023/0004604 A1, Jan. 5, 2023
Int. Cl. G06F 16/00 (2019.01); G06F 16/93 (2019.01); G06N 5/022 (2023.01); G06N 5/04 (2023.01); G06N 5/045 (2023.01); G06Q 10/0635 (2023.01); G06Q 30/018 (2023.01); G06Q 40/12 (2023.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01)
CPC G06Q 40/12 (2013.12) [G06F 16/3347 (2019.01); G06F 16/353 (2019.01); G06F 16/93 (2019.01); G06N 5/022 (2013.01); G06N 5/041 (2013.01); G06N 5/045 (2013.01); G06Q 10/0635 (2013.01); G06Q 30/018 (2013.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01)] 11 Claims
OG exemplary drawing
 
1. A system for determining the composition of document bundles, the system comprising one or more processors configured to cause the system to:
receive data comprising a document bundle;
extract, from the document bundle, first information comprising substantive content of one or more documents of the document bundle;
extract, from the document bundle, second information comprising metadata associated with one or more documents of the document bundle; and
generate output data representing a composition of the document bundle, based on the first information, the second information, and context information;
wherein the context information is received from a data source separate from the document bundle and comprises data characterizing a request; and
wherein the data comprising the document bundle was received by the system in response to the request.