Methods and systems for automatically detecting fraud and compliance issues in expense reports and invoices
US11954739B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 17, 2021 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | May 2, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/295
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one aspect a computerized method for detecting anomalies in expense reports of an enterprise includes the step of implementing a semantic analysis algorithm on an expense report data submitted by an employee, wherein the expense report data is provided in a computer-readable format. The method includes the step of, with one or more machine learning algorithms, detecting an anomaly in expense report data. The method includes the step of obtaining an augmentation of the expense report data with a set of web scale data. The method includes the step of verifying receipts associated with an expense report. The method includes the step of determining that the employee or any employee has previously claimed an expense in the expense report data. The method includes the step of identifying an inappropriate expense in the expense report data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.