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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-2026099135-A1, on 9 April 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000000986

Human-in-the-loop training for agentic automation

Published
Permanent URL
Classification
Sensors, Controls & Machine Vision › Industrial Control
Inventors
KADAKIA PALAK, KUNNATH LIJI, LEONARD II MICHAEL ARISTO, SINGH PRABHDEEP
Assignee
UIPATH INC
Original source
US-2026099135-A1, the United States Patent and Trademark Office, 9 April 2026
Document SHA-256
2400cee154de1477d18fe672f9cfee0509eab2cf94480a5e291adb08e16ee610

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.

Publication information

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Citation

OpenTechnical Publication OT-2026-000000986, “Human-in-the-loop training for agentic automation,” published September 15, 2026 at 19:03:41 UTC, https://opentechnical.org/p/OT-2026-000000986.

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