In the rapidly evolving landscape of military operations, commanders are increasingly faced with the challenge of making rapid tactical decisions amidst an overwhelming influx of information. Airbus is addressing this issue through the development of AI agents, designed to streamline and enhance the decision-making process.
Military commanders today are caught in a paradox: while real-time drone feeds and extensive intelligence reports provide unprecedented data access, the sheer volume of information can often hinder timely decision-making. “At its core, warfare is about achieving decision superiority — making well-informed choices faster than the adversary,” states Jonathan Debure, Head of Strategy and Technical Intelligence at Airbus Defence and Space.
Lending a helping hand: Large language models
Here, large language models (LLMs) prove to be valuable tools, offering significant operational advantages. Following the surge of interest in generative AI in 2022, the military sector has begun to explore their applications. “Based on tactical insights, LLMs can provide decision-makers with well-founded recommendations in a very short time,” explains Debure. The tactical decision-making process involves several tasks such as gathering, aggregating, summarizing, and prioritizing information, all areas where LLMs excel and perform at speeds that far surpass human capability.
Moreover, LLMs enhance the workflow for users, making interactions more intuitive. The process of generating a situation report or initiating a complex simulation can now be executed simply through natural language commands.
With its framework for agentic AI, Airbus brings together various data points and agents under one roof.
The next frontier: AI agents
Having established LLMs within military decision-making frameworks, Airbus is now focusing on AI agents. In contrast to standard LLMs that primarily handle text, AI agents excel in executing sequences of actions to accomplish targeted objectives. “Modularity is the magic word,” says Debure. “Instead of relying on a single system for everything, we divide complex tasks into smaller components, each managed by a specialized AI agent. This approach enables the automation of intricate operational sequences by coordinating multiple agents effectively.”
The vision is to cultivate an ‘AI agent mesh’ — a network of interconnected agents functioning seamlessly at all operational levels, from front-line soldier devices to regional headquarters systems. Debure envisions a future where “commanders won’t need to be experts in underlying simulation software or battle management systems. They will simply state a task in their own words, and the agents will collaborate across platforms to deliver results.”
Agentic AI: The framework from Airbus
For effective collaboration among the agents, a comprehensive framework is essential. Airbus is actively developing this framework. Debure clarifies: “Our framework will give structure to agentic AI, ensuring the right combination of agents is deployed to solve complex tactical challenges in real time.” This framework aims to tackle two common challenges in agentic AI solutions: mitigating hallucinations and ensuring traceability.
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Ultimately, this strategic approach allows for the development of a vast toolbox of agents. “Currently, we have defined around 90 specialized agents,” Debure notes. This includes agents like a data selector that identifies relevant imagery, sensor data, and text and a tasking agent that can trigger drones or satellites to gather additional information.
Additionally, the Airbus framework aims to present information in the most digestible format possible. “Users should not interact through a simple chat window,” asserts Debure. The framework is designed to include a visual map displaying all pertinent data sources, including those from aircraft and ships. By using natural language commands, these data sources will be interconnected and highlighted visually for better understanding.
A future of seamless collaboration
Looking to the future, Debure envisions AI as crucial to the digital infrastructure of armed forces. “In the near future, interacting with AI agents will be as unremarkable as using a word processor or spreadsheet,” he suggests. As these specialized agents continue to evolve, achieving decision superiority may represent an operational standard rather than merely a technological goal. “AI will enhance the military decision-making process by managing the complexities of modern battlefields, enabling commanders to concentrate on achieving mission success,” concludes Debure.
Source: Airbus Defence and Space (2026-06-15)
