Operational Gaming Engine for Strategic Decision-Making
Developing Strategic Analysis and Risk-Management Skills through Gaming
The Operational Gaming Engine for Strategic Decision-Making (OGE) is a platform that evolves traditional tabletop exercises and risk gaming by enabling educators and administrators to create dynamic scenarios where players engage with complex, realistic situations requiring strategic analysis and risk management. Moving beyond resource-intensive conventional simulation exercises, OGE provides a scalable, accessible environment for practicing consequential decision-making across diverse domains including business, healthcare, emergency management, public policy and education.
How Does OGE Work?
The platform leverages large language models (LLMs) and retrieval-augmented generation (RAG) to support customizable, interactive scenarios with varying levels of complexity and stakeholder involvement. Administrators use a comprehensive control dashboard to configure scenarios, introduce events, modify parameters and actively shape simulation dynamics in real-time, while the system coordinates information flows and participant interactions.
How Do I Use OGE?
Users interact with configurable AI advisors that represent domain-specific functional perspectives relevant to each scenario. Whether navigating a complex business merger, evaluating a public health crisis, or responding to a natural disaster, these advisors provide diverse specialized insights and recommendations tailored to the specific context. Users distribute relevant information to advisors through chat interactions, simulating real-world briefing processes and information management challenges.
Take a Look
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Log In to Begin the Simulation
Manage Game Rooms
Customize AI Advisors' Expertise
Consult with AI Advisors to Develop a Strategy
Negotiate with Other Players
Adjudicate Your Decisions to Reach a Solution
Why OGE Matters to Decision Makers
OGE includes an LLM-based risk assessment mechanism that evaluates proposed actions and triggers responses, particularly after high-risk decisions. This creates realistic pressure and requires users to defend their decisions with compelling rationales. Comprehensive logging capabilities capture all interactions, decisions and outcomes, enabling detailed analysis of decision-making patterns and supporting accelerated skills development.
Why OGE Matters to Educators
OGE addresses the pedagogical challenge of providing consistent, high-quality feedback on critical reasoning, communication and decision processes. By dramatically reducing the resources needed for simulation exercises while enhancing realism and educational benefits, the platform prepares students for professional success in an increasingly AI-integrated landscape where they must navigate human-AI collaboration and leverage AI-generated insights while exercising critical judgment.
OGE is a collaboration between PI Rafael López, deputy director for security policy studies, Carnegie Mellon Institute for Strategy and Technology (CMIST), and Vincent Sha, associate dean of IT and operations, Dean’s Office.