Abstract
An AI-driven browser agent framework is disclosed to facilitate attribute-based access to resources by enabling resource access decisions based on user or account characteristics rather than transferable authorization mechanisms. With user permission, the framework allows a browser agent to communicate user credentials, selected eligibility-related information requested by a resource provider for evaluating predefined eligibility criteria associated with a requested resource. Based on the evaluation, the browser agent may be granted immediate access to a resource acquisition workflow, assigned access at a future date or time, placed into a waiting queue, or denied access. By supporting multiple communication mechanisms, coordinated admission of browser agents, and flexible eligibility evaluation architectures, the framework improves automated resource acquisition, reduces server congestion during high-demand resource requests, and enables efficient allocation of resources according to predefined eligibility criteria.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Azose, Benjamin Albert; Gupta, Akancha Murlidhar; and Olsauskas-Warren, Theodore Thomas, "AI-Driven Browser Automation System For Attribute-Based Resource Access", Technical Disclosure Commons, (September 02, 2026)
https://www.tdcommons.org/dpubs_series/11544