Defence software delivery consistently fails because of the structural distance between the engineer who builds and the operator who uses. The case for forward deployment, why it works, and why the commercial model is the hardest barrier to fix.
AI platforms have shifted from productivity tools to enterprise operating systems. This post examines what that means for competitive strategy, workflow redesign, and how product teams should think about building and scaling AI agents.
A framework for thinking about what makes a deftech AI company genuinely hard to compete with over time. From compliance and accreditation infrastructure to knowledge architecture and cleared human capital, the most durable moats in defence AI are not the most obvious ones.