MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641094850 A) filed by Dr. Neelam Sanjeev Kumar on August 05, 2026, for Explainable Multi-Agent Ai Framework For Automated Business Decision Support System.
Inventors include Dr. Neelam Sanjeev Kumar; B. V Mithra; and Ahana Dinesh N.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The invention titled "Explainable Multi-Agent Al Framework for Automated Business Decision Support System" presents an intelligent business analytics platform that combines Machine Learning; Explainable Artificial Intelligence (XAI), and Multi-Agent Systems to support transparent and accurate business decision-making. The proposed system accepts business datasets, performs preprocessing, predicts business performance using the XGBoost algorithm, and explains every prediction using SHAP and LIME techniques. A Multi-Agent architecture distributes tasks among specialized agents including Data Processing, Prediction, Explainability, Recommendation, and Report Generation. The framework provides business recommendations through an interactive Streamlit dashboard, stores prediction history in SQLite, and generates downloadable PDF reports. The invention improves transparency, reliability, scalability, and user trust while enabling organizations to make informed business decisions using explainable Al technologies
Disclaimer: Curated by HT Syndication.
