ScenarioAI, developed by Cordillera Applications Group, builds on extensive multi-domain wargaming work with MAK to address one of the most persistent challenges in modelling and simulation: the time and effort required to create high-quality scenarios.

Traditional wargaming often relies on manually constructing force laydowns, environments, and supporting data. While effective, this process can be slow to build and difficult to iterate. ScenarioAI introduces an AI-assisted approach that accelerates scenario generation and supports faster transition from concept to executable simulation. 

Integration with VR-Forces

ScenarioAI is designed to produce structured scenario data that can be integrated into VR-Forces, where it becomes executable within a constructive simulation environment. VR-Forces provides the foundation for representing platforms, terrain, and operational activity, while ScenarioAI supports the rapid creation of the underlying scenario elements, such as orders of battle, force laydowns, and supporting context. This integration reduces the manual burden of populating simulations and makes it easier to adjust scenarios as requirements change or new questions emerge. 

Accelerating Scenario Development

ScenarioAI was developed in response to a key limitation observed in large-scale wargaming: the effort required to manually build and refine scenarios made it difficult to run exercises frequently or explore multiple variations.

By introducing AI-assisted generation, ScenarioAI helps teams:

• Generate scenarios more quickly from structured inputs
• Reduce the time spent building and modifying force structures and environments
• Iterate on scenarios as new data or questions arise
• Transition more efficiently into simulation-supported execution

This shift supports a more responsive and scalable approach to wargaming and experimentation.

Applications

ScenarioAI supports a range of use cases across modelling, simulation, and analysis:

• Wargaming, where scenarios can be created and adjusted more rapidly
• Experimentation, where multiple variations can be prepared for simulation
• Training environments that require realistic and adaptable scenario content
• Operational analysis workflows that depend on consistent, data-driven inputs

By streamlining the front-end of scenario development, it enables more time to be spent on execution, analysis, and decision-making.

Value

ScenarioAI helps organizations move from manually built, static scenarios to dynamically generated, simulation-ready environments.

In combination with VR-Forces, it shortens the path from scenario design to execution and makes it practical to explore more options in less time. The result is a more flexible and scalable wargaming and experimentation process, better aligned with the pace and complexity of modern defence requirements.

Read more about ScenarioAI in this article, or check out Cervus' website.