Gusto has filed a patent for a central database system that can provision user accounts for employees based on information received from employers. The system uses a machine-learned model to translate employee information and satisfy the requirements of third-party system APIs. It can also automatically update user account features when there are changes in employee characteristics. GlobalData’s report on Gusto gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Gusto, social media analytics was a key innovation area identified from patents. Gusto's grant share as of September 2023 was 68%. Grant share is based on the ratio of number of grants to total number of patents.

Provisioning user accounts for employees in third-party systems

Source: United States Patent and Trademark Office (USPTO). Credit: Gusto Inc

A recently filed patent (Publication Number: US20230289827A1) describes a method and system for automating the provisioning of user accounts with third-party systems. The method involves training a machine-learned model using historical data of user account provisioning. This model is then used to translate employee information to meet the requirements of third-party system APIs. The translated employee information is used to provision a user account on behalf of the employee through the third-party system API.

The patent claims also highlight various aspects of the invention. The user account being provisioned can be a cloud services account operated by the third-party system. The machine-learned model is trained by identifying fields of APIs associated with historical provisioning, as well as the information associated with employees and the correlation between the two. The model can also determine the information type corresponding to each identified API field and the portion of the identified information associated with employees.

Additionally, the machine-learned model can identify information translation operations performed during historical provisioning and establish a correlation between a portion of the information and one or more fields of the API. It can also identify additional information needed to provision the user account and access this information from an external source or request it from the employer.

The system described in the patent includes a central database system with a hardware processor and a non-transitory computer-readable storage medium. This system performs the steps of training the machine-learned model, translating employee information based on API requirements, and provisioning the user account through the third-party system API.

Overall, this patent presents a method and system for automating the provisioning of user accounts with third-party systems using a machine-learned model. By leveraging historical data and API requirements, the model can accurately translate employee information and provision user accounts on behalf of employees. This invention has the potential to streamline and simplify the account provisioning process, saving time and effort for organizations.

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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.