IP Library Granted Patent US 12,217,318
Granted Patent B2
US 12,217,318 · App. 17/854,348 · Granted Feb 4, 2025

AI-augmented auditing platform including techniques for automated document processing

Inventors: Chung-Sheng Li (Scarsdale, NY); Winnie Cheng (West New York, NJ); Mark John Flavell (Madison, NJ); Lori Marie Hallmark (Xenia, OH); Nancy Alayne Lizotte (Saline, MI); Anand Srinivasa Rao (Lexington, MA); Kevin Ma Leong (Randolph, NJ); Di Zhu (Jersey City, NJ); Timothy Delille (New York, NY); Maria Jesus Perez Ramirez (New York, NY); Yuan Wan (Irvine, CA); Ratna Raj Singh (Mumbai, IN); Vishakha Bansal (Meerut, IN); Shaz Hoda (New York, NY); Amitoj Singh (New Delhi, IN); Siddhesh Shivaji Zanj (Mumbai, IN)
Assignee: PwC Product Sales LLC
G06Q40/12G06F16/3347G06F16/353G06F16/93G06N5/022G06N5/041G06N5/045G06Q10/0635G06Q30/018G06V30/412G06V30/416
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Quick Facts
Patent No.
US 12,217,318
App. No.
17/854,348
Granted
Feb 4, 2025
Kind
B2
Abstract

Systems and methods for automated document processing for use in AI-augmented auditing platforms are provided. A system for determining the composition of document bundles extracts substantive content information and metadata information from a document bundle and generates, based on the extracted information regarding a composition of the document bundle. A system for validating signatures in documents extracts data representing a spatial location for respective signatures and generates a confidence level for respective signatures, and determines, based on location and confidence level, whether signature criteria are met. A system for extracting information from documents applies a set of data conversion processing steps to a plurality received documents to generate structured data, and then applies a set of knowledge-based modeling processing steps to the structured data to generating output data extracted from the plurality of electronic documents.

Claims (29)

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.

2. The system of claim 1 , wherein the output data representing a composition of the document bundle represents one or more delineations between page boundaries in the document bundle.

3. The system of claim 1 , wherein the context information comprises enterprise resource planning (ERP) data received from an ERP system of an entity associated with the document bundle.

4. The system of claim 1 , wherein the context information comprises data specifying a predefined set of events associated with a process associated with the document bundle.

5. The system of claim 1 , wherein the context information comprises data characterizing an automation process flow for acquiring the data.

6. The system of claim 1 , wherein the metadata comprises one or more of: a file name, a file extension, a file creator, and a file date.

7. The system of claim 1 , wherein extracting the first information comprises applying embedded object type detection.

8. The system of claim 1 , wherein generating the output data comprises applying a page similarity assessment model to a plurality of pages of the document bundle.

9. The system of claim 1 , wherein generating the output data comprises applying a finite state modeling data processing operation to the document bundle.

10. A non-transitory computer-readable storage medium storing instructions for determining the composition of document bundles, the instructions configured to be executed by one or more processors of a system 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.

11. A method for determining the composition of document bundles, wherein the method is performed by a system comprising one or more processors, the method comprising:

receiving data comprising a document bundle;

extracting, from the document bundle, first information comprising substantive content of one or more documents of the document bundle;

extracting, from the document bundle, second information comprising metadata associated with one or more documents of the document bundle; and

generating 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.

Assignments (6)
EMPLOYMENT AGREEMENT Recorded Sep 24, 2024
From: ZHU, DI
To: PRICEWATERHOUSECOOPERS ADVISORY SERVICES LLC
Reel/Frame 069176/0304 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 24, 2024
From: PRICEWATERHOUSECOOPERS ADVISORY SERVICES LLC
To: PRICEWATERHOUSECOOPERS LLP
Reel/Frame 068683/0345 →
EMPLOYMENT AGREEMENT Recorded Sep 20, 2024
From: PEREZ, MARIA JESUS
To: PRICEWATERHOUSECOOPERS LLP
Reel/Frame 069005/0165 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 18, 2024
From: CHENG, WINNIE; FLAVELL, MARK JOHN; HALLMARK, LORI MARIE; LIZOTTE, NANCY ALAYNE; RAO, ANAND SRINIVASA; LEONG, KEVIN MA; DELILLE, TIMOTHY; WAN, YUAN; SINGH, RATNA RAJ; BANSAL, VISHAKHA; HODA, SHAZ; SINGH, AMITOJ; ZANJ, SIDDHESH SHIVAJI
To: PWC PRODUCT SALES LLC
Reel/Frame 068987/0247 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2023
From: PRICEWATERHOUSECOOPERS LLP
To: PWC PRODUCT SALES LLC
Reel/Frame 065532/0034 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 30, 2023
From: LI, CHUNG-SHENG
To: PRICEWATERHOUSECOOPERS LLP
Reel/Frame 064128/0398 →
Continuity (6)
Provisional Application 63217123 · Jun 30, 2021
Provisional Application 63217119 · Jun 30, 2021
Provisional Application 63217134 · Jun 30, 2021
Provisional Application 63217131 · Jun 30, 2021
Provisional Application 63217127 · Jun 30, 2021
Related Publication 20230004604A1 · Jan 5, 2023
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