Leading Enterprise AI Transformation
While many focus solely on the theoretical or technical aspects of Artificial Intelligence, my expertise lies in translating ambitious AI strategies into practical, operational realities.
With a 25-year track record of delivering over £1B in total value across global markets, I bridge the gap between high-level boardroom strategy and on-the-ground AI execution. I do not just build technology; I build self-sustaining, AI-empowered organizations.

My Approach to AI and Digital Execution
My background with industry leaders like McKinsey & Company and Jaguar Land Rover has equipped me to manage complex, large-scale global coordination. When it comes to AI, I apply this same rigorous, commercial focus to ensure technology drives measurable financial results.

My hands-on experience in AI and digital transformation includes:

• Designed functional specifications for an AI agent to automate production, reducing operational costs by 15%.
• Automated workflows across procurement, supply chain, and warehouse inventory to streamline enterprise operations.
• Automated enterprise data management, reclaiming 10-15% of leadership time for strategic planning.
• Directing cross-functional teams of AI engineers, developers, and change agents to deploy technology that embraces human-machine co-productivity.

Endorsed by Global AI Leaders
My approach to scaling technology and driving business outcomes aligns directly with the highest industry standards. My strategic capability and operational rigor have been formally recognized and endorsed by senior AI leadership at Amazon Web Services (AWS). My leadership style maps directly to core principles like Customer Obsession, Invent and Simplify, and Deliver Results—proving my ability to scale AI ecosystems, manage complex joint ventures, and drive sustained economic value

Continuous Innovation at MIT
To ensure I am bringing the most advanced, enterprise-grade AI frameworks, I am actively advancing my expertise through top-tier programs at the Massachusetts Institute of Technology, Sloan Bussines School:

• Developing sophisticated roadmaps for integrating ML, natural language processing, and generative AI into overarching business strategies.
• Mastering practical frameworks to move AI beyond pilot projects, architecting adoption strategies that deliver measurable, long-term ROI while establishing responsible governance.
• Building capability matrices to identify high-yield AI use cases, proving impact, and governing agentic AI at an institutional scale.