AI system predicts task completion using resource history
Summary
USPTO published patent application US20260093528A1 by inventor John Graham Cvinar for an AI system that schedules tasks by predicting task completion using resource history, task completion history, experience, and availability data.
What changed
The USPTO published patent application US20260093528A1 for an AI-enabled system and method for task estimation. The system predicts task completion by analyzing task completion history, years of experience, and schedule availability of candidate resources. Application number 19337566 was filed September 23, 2025, and published April 2, 2026.
This is a patent application publication, not a regulation or compliance requirement. Inventors, patent applicants, and companies developing AI task scheduling systems should review the published claims to understand potential future patent landscape considerations. No immediate compliance actions are required.
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.
ARTIFICIAL-INTELLIGENCE ENABLED SYSTEMS AND METHODS FOR TASK ESTIMATION
Application US20260093528A1 Kind: A1 Apr 02, 2026
Inventors
John Graham Cvinar
Abstract
Computer system and method schedule tasks by predicting task completion of one or more candidate resources. Various information sources are used for prediction and scheduling tasks, including task completion history, years of experience, and schedule availability of the one or more candidate resources.
CPC Classifications
G06F 9/4881 G06N 3/045
Filing Date
2025-09-23
Application No.
19337566
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