Bristol, England, United Kingdom
Most organisations are not struggling with AI adoption. They’re struggling with operational capability. Across defence, critical infrastructure, engineering, and regulated industries, billions are being invested in digital transformation — yet many organisations still rely on fragmented knowledge systems, manual training analysis, and legacy learning processes that cannot scale with operational complexity. The result? Capability gaps hidden behind compliance. Critical expertise trapped in SMEs. Slow training pipelines. Inconsistent decision-making. And operational risk in environments where failure is not an option. For more than 25 years, I’ve worked at the intersection of Defence capability, operational performance, and training systems architecture across UK Defence, NATO-aligned, and high-assurance environments. Today, I combine that domain expertise with AI engineering and LLM architecture to design doctrine-grounded capability systems that augment human performance, accelerate Defence training workflows, and improve operational readiness. I am the originator of NOVA / DTNM — an AI-enabled Defence Training Needs Management platform built from first principles around JSP 822, DSAT, TRADOC 350-70, NATO Bi-SC directives, and ASD/AIA S6000T. Check out https://novaalliedtrainingllm.com/ just hit the Launch Demo and have a wander round The platform integrates: • Retrieval-Augmented Generation (RAG) architecture • Multi-framework doctrinal retrieval systems • AI-assisted DSAT lifecycle automation • Cross-doctrinal capability mapping • Citation-grounded decision support • AI-enabled operational training workflows My work focuses on translating complex operational doctrine into scalable, auditable, AI-enabled systems that strengthen workforce capability, accelerate analysis and design activity, and improve readiness across mission-critical environments. Core areas include: • Defence capability transformation • AI-enabled training & decision systems • DSAT / TRADOC / NATO training architectures • Human-AI teaming & operational readiness • LLM-powered knowledge systems • Workforce capability engineering I’m particularly interested in connecting with organisations exploring: • AI-enabled Defence capability systems • Mission-critical workforce transformation • Doctrine-grounded AI applications • Operational readiness modernisation • Sovereign or accredited AI architectures If you are working at the intersection of Defence, AI, capability transformation, or operational performance — let’s connect.
• Increased training design efficiency by up to 90% by developing AI-enabled automation tools aligned to DSAT, TRADOC, and NATO training methodologies, reducing manual analysis and course development overhead. • Built AI-powered Defence training applications using Python, cloud platforms, and LLM technologies, enabling scalable, repeatable, and data-driven training workflows. • Enhanced training realism and operational scalability by integrating modelling & simulation concepts into digital learning environments for mission-critical use cases. • Accelerated end-to-end training lifecycle delivery by architecting intelligent systems that streamlined analysis, design, validation, and delivery activities.
• Maintained continuous operational performance during career transition by delivering consistently in high-demand, target-driven environments requiring resilience, adaptability, and reliability. • Demonstrated leadership credibility and work ethic by sustaining performance standards while repositioning into senior Defence AI and capability-development roles.
• Improved Royal Navy Electronic Warfare readiness by delivering DSAT-aligned technical training solutions tailored to operational capability requirements. • Increased alignment between workforce performance needs and training outputs by conducting detailed Training Needs Analysis (TNA) across specialist Defence systems. • Reduced knowledge and capability gaps by designing targeted learning interventions supporting mission-critical operational effectiveness.
• Supported RAF Astra transformation objectives by aligning engineering training frameworks with large-scale workforce restructuring and future capability requirements. • Improved organisational readiness and role alignment by leading DSAT-based training analysis and redesign activities across multiple engineering disciplines. • Increased stakeholder confidence in training transformation outcomes by delivering evidence-based recommendations aligned to operational and workforce priorities.
• Identified and reduced critical capability gaps within Storm Shadow Mission Planning Systems by conducting detailed operational TNA and performance analysis. • Improved technical workforce effectiveness by designing targeted training solutions aligned to mission performance requirements. • Enhanced operational consistency by translating complex system requirements into scalable, user-focused training interventions.