MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050916 A) filed by Christ University, Bangalore, Karnataka, on April 21, for 'multi-agent generative ai business strategy simulation engine for experiential mba training.'
Inventor(s) include Dr. Suraj Kumar; Dr. Lasya K R; Dr. Sangeetha R; Dr. Dara Vijaya Lakshmi; Dr. Oshma Rosette Pinto; Dr K. Fracis Sudhakar; Lakavath Anilkumar; Dr. Kavitha. S; and Christ University.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an advanced Multi-Agent Generative Artificial Intelligence (AI) based Business Strategy Simulation Engine designed to enhance experiential learning and decision-making skills in Master of Business Administration (MBA) and business management training programs. Traditional management education often relies on theoretical case studies and static simulations that do not adequately represent the complexity, uncertainty, and dynamic interactions present in real-world business environments. The proposed system introduces a novel simulation framework that integrates multiple autonomous AI agents powered by generative models to emulate realistic business ecosystems, enabling learners to interact with adaptive and evolving strategic scenarios. In the proposed architecture, each AI agent represents a specific stakeholder within a business environment, such as competitors, customers, regulators, suppliers, investors, and market analysts. These agents continuously generate data-driven responses, strategies, and market conditions based on user decisions, historical datasets, and predictive modeling techniques. The simulation engine dynamically constructs business scenarios including market competition, product launches, supply chain disruptions, pricing strategies, mergers and acquisitions, financial fluctuations, and regulatory challenges. Through natural language interaction and real-time analytics, MBA learners can test strategic decisions, observe consequences, and iteratively refine their management approaches. The system employs reinforcement learning, generative AI models, and collaborative agent communication protocols to produce emergent behaviors that mimic real market dynamics. Additionally, the engine incorporates performance evaluation modules that analyze decision outcomes across key business indicators such as profitability, market share, customer satisfaction, risk exposure, and operational efficiency. The platform supports customizable learning environments, enabling educators and corporate trainers to design industry-specific simulations tailored to finance, marketing, operations, entrepreneurship, and international business domains. By combining generative AI with multi-agent systems and immersive simulation methodologies, the invention provides a scalable and adaptive training platform capable of delivering highly realistic experiential learning experiences. The system also includes visualization dashboards and feedback mechanisms that help learners understand strategic impacts, competitive positioning, and long-term business sustainability. The proposed Multi-Agent Generative AI Business Strategy Simulation Engine thus addresses the limitations of conventional management education by creating an intelligent, interactive, and continuously evolving virtual marketplace where learners can safely experiment with complex strategic decisions. This invention significantly improves managerial skill development, critical thinking, and strategic planning capabilities, making it a valuable technological solution for modern business education, executive training programs, and digital learning ecosystems. Furthermore, the invention is designed to incorporate advanced scenario intelligence capabilities that enable the simulation engine to generate not only reactive but also proactive business environments. This includes the ability of AI agents to anticipate market shifts, introduce disruptive innovations, and simulate macroeconomic events such as inflation, recession, policy changes, and technological breakthroughs. By doing so, the system exposes learners to both predictable and unforeseen challenges, thereby strengthening their ability to respond to uncertainty and volatility in real-world situations. In addition, the platform integrates cross-functional decision interdependencies, ensuring that actions taken in one domain, such as marketing or operations, have measurable consequences across other business functions like finance, human resources, and supply chain management. This interconnected simulation approach reflects the holistic nature of modern enterprises, where strategic alignment across departments is critical for organizational success. The system also enables longitudinal simulation sessions, allowing learners to observe the long-term impact of their decisions over multiple business cycles, quarters, or fiscal years. Moreover, the invention supports adaptive personalization features, where the simulation engine customizes challenges, complexity levels, and feedback mechanisms based on individual learner performance, cognitive patterns, and decision-making styles. This personalized approach enhances engagement and ensures that each participant receives a tailored learning experience suited to their skill level and learning objectives. The platform also facilitates detailed audit trails and explainable AI outputs, providing transparency into how AI agents arrive at specific decisions or responses. This feature is particularly valuable in educational settings, as it allows learners to understand the rationale behind simulated outcomes and develop deeper analytical and critical thinking skills. Additionally, the system can be extended to include virtual mentorship modules, where AI-driven advisors guide learners through strategic dilemmas and provide recommendations based on best practices and industry benchmarks. By integrating these advanced capabilities, the invention establishes a comprehensive, intelligent, and future- oriented framework for experiential management education, significantly enhancing the effectiveness, realism, and scalability of business strategy training in academic and professional environments."
Disclaimer: Curated by HT Syndication.
