Business Analyst + Developer
I bridge structured delivery thinking with hands-on technical implementation, which is a big part of why my AI work is grounded in real execution.
About
I build AI systems that are designed to survive contact with reality.
I’ve spent much of my career working where delivery had to be structured, understandable, and credible, not just technically interesting.
That background now shapes the way I build AI copilots, workflow orchestration, and extraction pipelines: with real users, real constraints, and real operational use in mind.
Business Analyst
Developer
Production-minded AI
Built for real environments
My background comes from places where clarity, testing, reliability, and stakeholder confidence actually mattered.
Production-minded AI
I focus on practical copilots, orchestration workflows, and extraction pipelines designed to be useful beyond a demo.
Good to work with
The strongest feedback I get is usually some mix of clarity, reliability, calm delivery, and being an enjoyable person to have on the team.
How I think
The useful part of my background isn’t just where I’ve worked.
It’s the way those environments taught me to think: clearly, practically, and with a strong bias toward systems that people can understand, trust, and actually use.
AI is only useful when it fits into a real workflow.
Good systems need clear requirements, not just clever prompts.
Most delivery problems are really communication problems in disguise.
If something matters in production, it needs structure, testing, and trust.
Recognisable environments
Experience shaped by organisations where delivery standards were real
Notable organisations
Pfizer 
The University of Law High-stakes enterprise delivery, student systems, process improvement, testing, requirements, implementation, and operational change.
Sector experience
Healthcare Education Recruitment Telecoms Finance Small business operations
The thread running through it
I didn’t arrive at AI from hype. I arrived here through delivery.
My route into this work came through years of solving operational problems, building systems, defining requirements, supporting teams, and helping projects move from ambiguity to something usable.
Earlier career
Developer and solutions builder
I started on the technical side: building systems, designing databases, solving messy operational problems, and learning what teams actually need from software in the real world.
Delivery years
Business Analyst in serious delivery environments
I spent years working across planning, requirements, process design, UAT, implementation, and stakeholder communication, especially in environments where failure would have been expensive, disruptive, or very visible.
Today
AI systems with delivery discipline
That combination is now what I bring to AI: not just ideas, but systems shaped by workflow reality, operational constraints, and the standards real organisations expect.
Working style
What teams tend to get from me
Clear with complexity
I’m good at taking messy processes, technical constraints, and competing stakeholder views, then turning them into something understandable and actionable.
Comfortable across the gap
I can think with technical people, talk with business stakeholders, and help both sides stay aligned without unnecessary theatre.
Low ego, high standards
I care about doing the work well, being easy to collaborate with, and helping a team look good in front of users, leaders, and clients.
What people noticed
The human side matters too
Skills matter. So does fit. The feedback that means the most to me is the kind that reflects both.
“You need look no further than Ian.”
Senior project stakeholder, The University of Law
“Exceptional expertise, diligence, and reliability.”
Senior Project Manager, The University of Law
“He was also a lot of fun.”
Colleague, Pfizer
Work together
If you want AI work shaped by real delivery experience, let’s talk.
My demos and writing can show the technical side. This page is the simpler truth: I care about building useful things well, and I’m good at helping teams turn complexity into something workable.