Configurable Artificial Intelligence Powered Software Assistant
Summary
The USPTO published patent application US20260093507A1 filed by UiPath, Inc. for a configurable AI-powered software assistant providing co-pilot guided automation experiences using contextual knowledge repositories. The application covers methods for AI model-based recommendation responses within a decision-making structure. Application No. 18941083 was filed on November 8, 2024.
What changed
UiPath, Inc. filed patent application US20260093507A1 with the USPTO for a configurable artificial intelligence powered software assistant system. The invention describes an AI powered assistant engine that provides co-pilot guided experiences and automation using contextual knowledge, accessing knowledge repositories representing neurons to generate recommendation responses. CPC classifications include G06F 9/453 (hypermedia), G06F 16/9535 (recommendation systems), and G06N 20/00 (machine learning). The four named inventors are Chibi Vikramathithan, Erica Fusacchia, Kitty Li, and Rahul Sharma.\n\nPatent applications do not create compliance obligations or deadlines for third parties. Technology companies developing AI automation tools or co-pilot features may wish to review this filing for prior art considerations or competitive intelligence purposes. The publication of a patent application does not indicate that the patent will be granted or that the claims will issue as filed.
Archived snapshot
Apr 2, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
CONFIGURABLE ARTIFICIAL INTELLIGENCE POWERED SOFTWARE ASSISTANT
Application US20260093507A1 Kind: A1 Apr 02, 2026
Assignee
UiPath, Inc.
Inventors
Chibi VIKRAMATHITHAN, Erica FUSACCHIA, Kitty LI, Rahul SHARMA
Abstract
A method is provided. The method is executed by an AI powered assistant engine implemented as a computer program within a computing environment. The AI powered assistant engine provides a co-pilot guided experience and automation using contextual knowledge. The method includes receiving inputs from a user via a user interface initiating a conversation, providing AI models based on the inputs, accessing knowledge repositories representing neurons to provide and augment the contextual knowledge generated by the knowledge repositories in response to the inputs, and generating recommendation responses to the inputs as the co-pilot guided experience by the AI models processing the contextual knowledge in an overall decision-making structure.
CPC Classifications
G06F 9/453 G06F 16/9535 G06N 20/00
Filing Date
2024-11-08
Application No.
18941083
Named provisions
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