Phillip Kingston
Senior AI Adviser
Phillip Kingston is a Senior AI Adviser at Marlow Global and a Member of Technical Staff at AppliedAI in Abu Dhabi. He is the author of numerous papers on frontier artificial intelligence, particularly in the areas of Work Knowledge Graphs and Large Work Models, with a focus on how AI can translate high-level process requirements into executable, optimised workflows that remain aligned with domain knowledge, compliance obligations, and operational performance criteria.
His work spans the full lifecycle of workflow generation: formalising process intent, leveraging multimodal data through advanced neural architectures, enriching outputs with knowledge graphs, and optimising workflows for real-world efficiency, reliability, and governance. This approach enables organisations to deploy AI in a way that is technically rigorous, operationally coherent, and grounded in practical business and institutional realities, rather than treating AI adoption as a generic technology exercise.
Phillip has a deep interest in cognitive security and has contributed to the academic discussion in this field, including as a journal contributor to Frontiers on Disinformation Countermeasures and Artificial Intelligence. He also serves as a Member of the Editorial Board of the Centre for Aerospace & Security Studies (CASS), Islamabad. CASS is an independent policy think tank focused on research and strategic analysis at the intersection of aerospace, national security, emerging technologies, and international affairs, providing evidence-based insights through policy research, strategic assessments, conferences, and scholarly publication.
He is also a Visiting Professor at the State University Kyiv Aviation Institute in Ukraine, where his academic and professional interests intersect across artificial intelligence, aviation, security, and complex operational systems.
At Marlow, Phillip advises on AI architecture and agent design, helping bridge the gap between strategic ambition and technical implementation across the firm’s advisory engagements.


