MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641097247 A) filed by Anurag University on August 12, 2026, for A System And Method For Autonomous Multi-Tier Workflow Decomposition, Semantic Skill Allocation, Predictive Self-Healing Scheduling, And Correlated Team Health Intelligence.
Inventors include Mr. G. Sridhar Reddy; Ruthwik Reddy Donthireddy; Ninisha Reddy Chelukula; Ashritha Reddy Nimma; Dr A Mallikarjuna Reddy; Dr. Udaya Kumar Addanki; Mr. G. Vamshi Krishna; Mr. S. Ravi Kumar; and Mr. M. Raghavendra Rao.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: ABSTRACT The present invention relates to a system for autonomous workflow orchestration using intelligent task dependency management, predictive scheduling, self-healing execution, and secure enterprise integration. The system comprises a session initialization and authentication module(102) , an intent classification engine (104) , a task dependency graph generation engine (106), a skill matching engine (108), a predictive scheduling engine (110), a vector memory module (112), a dependency monitoring module (114), a self-healing reconfiguration engine (116), a secure data pathway and trigger management module (118), an execution orchestration module (120), a security and governance module (122), a secure storage module (124), an optional human approval module (126), and an external enterprise interface layer(128). These components collectively enable intelligent task planning, adaptive resource allocation, context-aware scheduling, automated failure recovery, secure data exchange, governance enforcement, and seamless integration with enterprise platforms, thereby improving workflow efficiency, reliability, scalability, and operational productivity across distributed computing environments. The figure associated with abstract is Fig. 1.
Disclaimer: Curated by HT Syndication.
