I help organizations make sense of emerging AI capabilities and translate them into credible product, growth, and adoption strategies.
My work sits at the intersection of AI capability, human behavior, product strategy, and market adoption. I bring a PhD and postdoctoral research in human-AI interaction, and applied experience across AI strategy, product research, enterprise adoption, and commercial growth.
I have advised, built, and delivered work across technology, healthcare, financial services, government, consumer products, education, and transport. I am especially interested in the gap between what AI systems can technically do and what users, teams, and markets actually adopt.
My work typically spans:
AI capability translation
Turning emerging model capabilities into clear product, workflow, and market opportunities.
Human-AI interaction and product strategy
Designing and evaluating AI-enabled experiences, agentic workflows, and interaction patterns.
Market and adoption insight
Understanding how users, teams, and buyers make sense of AI products, where friction appears, and what drives traction.
Commercial strategy for AI-native products
Helping clarify positioning, use cases, customer value, and routes to market for emerging AI capabilities.
Executive sensemaking
Helping leaders understand what AI changes, what it enables, and where to act.
PhD, Management, University of London
Postdoctoral research, Human-AI interaction, University of Toronto
Director, Applied AI, BOI
Founder, MindPort
Advisor and speaker on AI strategy, adoption, and product.