MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611112724 A) filed by Anurag Mishra; Aashish; Mr. Praveen Tomar; Pavan Sharma; Ms. Bandana Kumari; Dr. Atul Pratap Singh; Nisha; and Mr. Yaduvir Singh on September 20, 2026, for An Explainable Agentic Artificial Intelligence System For Autonomous Decision-Making And Interpretable Reasoning.

Inventors include Anurag Mishra; Aashish; Mr. Praveen Tomar; Pavan Sharma; Ms. Bandana Kumari; Dr. Atul Pratap Singh; Nisha; and Mr. Yaduvir Singh.

The application for the patent was published on October 23, 2026, under issue no. 43/2026.

Abstract: An Explainable Agentic Artificial Intelligence System for Autonomous Decision-Making and Interpretable Reasoning is disclosed. The system provides an integrated artificial intelligence framework capable of autonomously transforming a user-defined objective into a sequence of executable subtasks and dynamically determining actions required for achieving the objective. The system comprises an input processing module, objective decomposition module, agentic planning module, action execution module, feedback evaluation module, and explainability module. The agentic planning module dynamically selects suitable computational models, tools, data sources, or application interfaces and executes the selected actions. Intermediate results are continuously evaluated against task requirements, constraints, and completion criteria, enabling dynamic re-planning when an action produces an inadequate or inconsistent result. The explainability module generates a structured decision trace associating observations, subtasks, reasoning states, evidence, tool executions, actions, confidence information, and final decisions. An explanation graph may further represent causal, logical, temporal, and dependency relationships among the decision elements. The disclosed system thereby combines autonomous multi- step decision-making with interpretable reasoning and auditable execution, enabling users to inspect and understand the basis of decisions generated by an agentic artificial intelligence system.

Disclaimer: Curated by HT Syndication.