Hands-on technology credibility
Senior enough for the boardroom. Technical enough to look under the hood.
My profile is deliberately different. I can operate as a senior AI transformation partner, but I also have enough hands-on technology capability to build prototypes, interrogate data, understand platform architecture and challenge delivery teams intelligently.
This matters because AI leadership is no longer just about sponsoring pilots or producing strategy decks. The strongest leaders need to understand what is happening under the surface: the data, the workflow, the model, the governance, the integration points, the operating model and the practical path from proof of concept to adoption.
Hands-on product development through Lanthra, Pulse, PEA and PES
Process intelligence and process mining analysis
Operational data modelling and evidence-led analytics
Agentic AI design and workflow orchestration
Azure AI Foundry for AI agents and enterprise prototypes
AWS Bedrock for model-enabled enterprise use cases
Claude and OpenAI for agentic workflows, reasoning and assisted delivery
AI governance, responsible AI and ethical adoption controls
Security-by-design thinking for enterprise-grade AI transformation
Ability to inspect the architecture, challenge assumptions and build the first proof point