The Department of Defense (DOD) is seeking proposals for the topic "Wargaming and AI for All" in their SBIR 24.1 BAA solicitation. The objective is to implement a game server capable of engaging allied warfighters in operationally relevant wargames, while also crowd-sourcing the development of operational strategies. The proposed technology will create a dataset for traditional data analysis methods as well as machine learning and artificial intelligence approaches. The project will focus on building an initial repository of operational wargames to educate warfighters and enable statistical analysis and AI-informed decision-making. The technology will also provide plug-in capabilities for adjusting and creating novel scenarios and assets. The project aims to enhance the traditional wargaming process by adding tactical modeling, logistical modeling, and operational modeling capabilities. The proposal supports the education of DAF warfighters, the analysis of alternatives for forward-basing options, and the understanding of JADC2. The project will be conducted in three phases, with Phase I focusing on demonstrating game playability, relevance, and data extraction capability. Phase II will focus on game flexibility, scalability, and capability demonstration, while Phase III will explore dual-use applications and marketability. The project will utilize references from previous research in areas such as reinforcement learning and strategic reasoning. Keywords for this solicitation include wargaming, data analysis, artificial intelligence, imitation learning, and reinforcement learning.