Enterprise AI Architecture
Designing applied AI systems around workflow, trust, data boundaries, and measurable business value.
AI systems architect & early-stage investor
I work with ambitious teams turning AI, automation, and workflow intelligence into production systems. This site is also where I collect the ideas, interests, and principles that shape how I think.
I am a computer scientist, solutions architect, and AI practitioner with more than two decades in enterprise software, automation, and applied AI. I care about practical systems: the ones that survive contact with real users, complex organisations, and commercial pressure.
My background spans software engineering, sales engineering, technical leadership, founder work, and angel investing. That mix gives me a useful lens: what can be built, what should be built, and whether the people around it have the resilience to make it matter.
Designing applied AI systems around workflow, trust, data boundaries, and measurable business value.
Building connective tissue across tools, teams, and processes so intelligent systems can operate reliably.
Bridging product, engineering, customer value, and executive decision-making in complex enterprise environments.
I invest in people before ideas.
Ideas change. Markets shift. The original plan is rarely the one that survives. What matters is the person: their pace of learning, their honesty under pressure, their ability to attract talent, and their refusal to confuse ambition with entitlement.
My investing experience spans early-stage climate-tech and fintech, including Carbon13-backed founders and a broader portfolio of operator-led companies. I look for people with drive, humility, and the capacity to turn hard problems into disciplined execution.
Capital is useful. Belief, pattern recognition, and practical help are often more useful.
My investment portfolio is mostly early-stage: people working on climate, infrastructure, fintech, data, energy, legal systems, and the practical problems that sit underneath a better economy.
This is not a prompt for anyone else to follow. It is a record of people and teams I have chosen to back.
I do not want this to become a blog for the sake of having a blog, or a place that tells people how to spend their time, money, or attention. I see it more as a public notebook: a place for ideas that have stayed with me long enough to be worth setting down.
Chess will be part of that. Not just openings or tactics, but the philosophy underneath: patience, initiative, tempo, calculation, blunder recovery, and the discipline of improving a position before trying to win.
Strategy, pressure, pattern recognition, and the private discipline of decision-making under constraint.
Reflections on what survives beyond demos: workflows, agents, automation, trust, and adoption.
Observations from founders, investing, mentorship, resilience, and the work behind visible progress.
LLM research on temporal arithmetic, synthetic data generation, and model behaviour.
An agentic workflow experiment for turning software issues into proposed code changes.
A distraction-free writing tool built around focus, rhythm, and versioned creative work.
A good founder can reshape an idea. A weak team can waste a good market.
The demo matters, but the operating system behind it matters more.
Technology earns trust when it respects incentives, constraints, and the people asked to adopt it.