Wells Fargo & Co has patented a testing platform for an auto-decision engine. The method involves accessing an auto-test database, requesting a simulated auto-decision based on a unique key, and modifying output data fields. The system bypasses the decision engine and updates the database via an API protocol. GlobalData’s report on Wells Fargo & Co gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Wells Fargo & Co, Virtual banking assistant was a key innovation area identified from patents. Wells Fargo & Co's grant share as of April 2024 was 90%. Grant share is based on the ratio of number of grants to total number of patents.

Testing platform for auto-decision engine with simulated auto-decisions

Source: United States Patent and Trademark Office (USPTO). Credit: Wells Fargo & Co

A recently granted patent (Publication Number: US11971811B2) discloses a method implemented by an enterprise computing system that utilizes an auto-decision engine from a third-party computing system. The method involves requesting a simulated auto-decision based on a unique key corresponding to a specific scenario from a database, bypassing certain functions of the auto-decision engine. The enterprise system then receives the simulated auto-decision and can modify output data fields in the database through an API protocol. Additionally, the patent includes provisions for providing graphical user interfaces for user interaction, managing conditioned data, adding or deleting data fields in the database, and accessing customer data from the third-party system.

Furthermore, the patent encompasses a non-transitory computer-readable medium with instructions for accessing the auto-test database, receiving user input for modifications, updating the database accordingly, and requesting simulated auto-decisions based on unique keys. It also includes instructions for establishing API sessions, displaying scenarios through graphical user interfaces, and adding data to the database. Additionally, a computing system is described in the patent, featuring a decision engine, an auto-test database updatable via a third-party system, and processors capable of generating simulated auto-decisions and transmitting them back to the third-party system. The system also allows for API sessions for database updates and can handle multiple databases for different third-party systems, each with their unique keys for simulated auto-decisions.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.