HML ServicesHKIA Third Runway
Airside systems delivery on one of the world's busiest airports. Live operations, no margin for downtime.
About
The infrastructure career is not the backstory. It is the credential. Every airport, every baggage system, every live operation that could not stop. That is what makes the AI work real.
Most people who advise on AI learned about it after 2022. I started in 2020, two years before it became a boardroom conversation. Not because I was chasing a trend. Because I looked at what was coming and decided to find out for myself. I was the guinea pig so my clients do not have to be.
Before that, I spent thirty years inside mission-critical infrastructure: airports, baggage handling systems, data centres. Projects where the operation could not stop while you figured it out. Where the gap between a working prototype and a live production system was measured in passenger disruptions, not version numbers.
"My job is done when you don't need me anymore. That's the goal from day one."
That career is not a credential I wave at the door. It is the lens I use on every engagement. When I look at an AI strategy, I am not asking whether it is technically elegant. I am asking whether it will survive contact with your operation on a Monday morning.
30+
Years delivering mission-critical infrastructure
2020
When we started learning AI. Two years before the boardroom caught up.
4
Published works on delivery, leadership, and AI practice
2
Markets. APAC primary. Europe secondary.
These are not case studies. They are the projects that shaped the way HML thinks about complexity, delivery, and what it actually takes to keep a live operation running while you change it.
Airside systems delivery on one of the world's busiest airports. Live operations, no margin for downtime.
Operational recovery leadership. Taking a troubled project and getting it back on track without stopping the airport.
Dual-terminal baggage handling systems delivery. Complex integration, brownfield environment, live operation throughout.
Mission-critical data centre infrastructure. Where the definition of downtime is measured in seconds, not hours.
Three decades across the leading BHS integrators in Hong Kong, Singapore, Australia, Spain, and China. Every major systems type. Brownfield and greenfield.
AI enablement, operational intelligence, and strategic advisory. Infrastructure operators, airports, and logistics leaders.
I built my first AI tools in 2020. Not as a side project. As a genuine attempt to understand what was coming and what it would mean for the kind of infrastructure work I had spent thirty years doing.
What I found was that most AI advice was being given by people who had never run a live operation, never had to keep a system running while changing it, and never had to answer for a decision that affected thousands of passengers at 4am.
The infrastructure background is not a metaphor. It is the reason the AI work is different. When I build a RAG system or an operational intelligence framework, I am building it the way I would build anything that has to work in a real environment: tested, documented, and designed to be owned by the people who use it.
2020
First AI tools built and tested. Two years before mainstream adoption. Certified in AI practice.
2022
ChatGPT arrives. The boardroom conversation begins. HML already two years into practice.
2023
Sovereign AI Framework developed. Five principles for organisations that want to own their AI future, not rent it.
2024
Airport Operations Intelligence (AOI) framework published. AI applied specifically to airport and infrastructure contexts.
2025
Four published works. EdBot, VoiceForge, and custom RAG systems in live use. Advisory practice fully operational across APAC and Europe.
2026
Floe governance layer launched: every agent call signed, logged, and accountable. The AI Readiness Review productised as the defined starting point for new engagements.
What thirty years of infrastructure delivery actually teaches you about leading through chaos. Started as notes from a Saturday morning car wash routine. Ended as a leadership book nobody else was writing.
The philosophical companion to a life in delivery. What it means to lead when the systems are complex and the humans are more so. Written for practitioners, not academics.
How infrastructure operators can navigate the AI wave without losing what makes their organisations work. Practical, grounded, and deliberately opinionated about what actually matters.
The AOI framework: a structured approach to applying AI inside airport and infrastructure operations. Built from delivery experience, not vendor documentation. The most cited HML work.
One conversation. No pitch deck. Just an honest look at where you are, what you already have, and whether HML is the right fit to help you move.