Human-in-the-Loop AI Training for Agentic Automation Patent Application
Summary
USPTO published patent application US20260099135A1 by UiPath, Inc. covering human-in-the-loop automation training using AI for agentic automation systems. The invention enables a listener to monitor user or AI agent interactions with computing systems and improve or personalize automation based on those interactions.
What changed
USPTO published patent application US20260099135A1 disclosing human-in-the-loop automation training methods for agentic AI systems. The invention uses a listener mechanism to monitor interactions between users or AI agents and computing systems, enabling dynamic improvement and personalization of automation workflows.
For technology companies and software developers in the automation space, this patent application signals UiPath's continued investment in human-in-the-loop AI training methodologies. While patent applications do not immediately affect product development, companies developing similar automation technologies should review the claims upon grant to assess potential licensing needs or design-around considerations.
What to do next
- Monitor for patent grant status updates
- Review claims for potential licensing considerations
- Assess relevance to existing automation product development
Archived snapshot
Apr 10, 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.
HUMAN-IN-THE-LOOP TRAINING FOR AGENTIC AUTOMATION
Application US20260099135A1 Kind: A1 Apr 09, 2026
Assignee
UiPath, Inc.
Inventors
Michael Aristo LEONARD, II, Prabhdeep Singh, Liji Kunnath, Palak Kadakia
Abstract
Human-in-the-loop automation training using artificial intelligence (AI) for agentic automation is disclosed. This may be accomplished by a listener watching interactions of a user or an AI agent with a computing system. Based on the interactions by the user or the AI agent with the computing system, the automation may be improved and/or personalized for the user or a group of users.
CPC Classifications
G05B 19/4155 B25J 9/163 G06F 8/60 G06N 20/00 G05B 2219/39371
Filing Date
2025-12-11
Application No.
19417156
Named provisions
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Source
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