AI advisor and systems architect. I work at the layer before the system — the thinking, structure, and constraints that make AI genuinely useful. Based between Denmark and London.
I work at the intersection of AI capability and organisational strategy. My background spans technology, systems design, and human-centred approaches to AI adoption — with an emphasis on what actually makes AI useful in practice.
I design and implement AI systems, automation pipelines, and strategic frameworks. From initial thinking through to working implementation — with a consistent focus on what actually changes how an organisation operates.
Most organisations move straight from “we should use AI” to implementation. They automate what they haven’t examined. I start with the layer before the system — the thinking, structure, and constraints that make AI useful. Then I build.
Technology serves human judgement. AI should augment how people think, not replace the thinking that matters.
Every AI implementation is a system. Getting the architecture right — memory, context, constraints — determines whether it works in practice.
AI makes it easy to act. It doesn’t make it easy to think. Clarity about goals, constraints, and trade-offs has to come first.
Theory without working systems is noise. I move from strategic framing to built, tested implementations.
Claude Certified Architect. Designing AI systems with persistent context, structured memory, and defined operational boundaries.
Google Cloud Associate Engineer. Infrastructure, deployment, and cloud systems for AI and automation workloads.
Frontend development, WordPress architecture, and integrated workflow systems for structured AI interaction.
Workflow automation, AI-triggered pipelines, and process systematisation across tools and platforms.
I’m selective about the work I take on. If you’re serious about AI as a strategic capability rather than a surface feature, I’d like to hear from you.