Artificial intelligence (AI) technology has greatly impacted various aspects of modern society and economy. Recent technological advancements have significantly improved decision-making and support systems, as well as autonomous processes, by utilising different types of data, such as text, visual content, and video footage. To provide accurate outcomes, AI models require collection and preparation of a number of representative data that leads to a costly and timely process, in terms of hardware and human resources. Though, their adoption in defence systems is severely affected by the lack of appropriate data either in terms of size or due to their limited classification level. Current AI trends can contribute to overcoming such limitations and improve their overall utilisation in the defence domain hence to modernise current warfare. To this end, the proposed framework aims to comprise an AI package that involves numerous models and addresses the core challenges of a defence system. This research study relies on the development of five, interconnected research pillars and is expected to impact their systems. The ambition of the so-called ‘FaRADAI framework’ is to produce relevant research advances in the development of new technologies which will be successfully applied in the context of AI for defence applications, covering all stages of a military operation supply chain, from planning, to execution, C2, decision-making, and mission adaptation.