Services
Senior, independent advice from someone who still builds
Fixed in scope and price wherever possible, so you know what you will get before we start.
I work with engineering and product companies, and with the boards, investors and lenders behind them, in sectors including green technology and e-mobility, health technology, connected products and IoT, software, manufacturing, defence, the public sector, food and retail. Most engagements are fixed in scope and price, so you know what you will get before we start. I am based in Leeds and work with clients in the UK and internationally, on site or remotely; I have advised organisations across Europe, the Middle East, the Far East, North America and Africa.
Where AI is involved, I can recommend and set up cloud, UK-hosted or fully offline options, depending on how sensitive your data and code are. I explain why in Where should your AI live?
What I offer
AI Opportunity Workshop
For leadership teams in engineering and product companies of 20 to 500 people, under pressure to “do something with AI”.
AI has made building cheap. Choosing what to build has become the hard part. Most AI plans are shaped by the loudest voice in the room or the latest vendor demo, while the best opportunities sit with the people closest to the work, in service, quality, engineering and operations.
- Before: the AI Ladder Check, a short readiness assessment for the leadership team, and anonymous ideas and everyday frustrations from everyone taking part, so ideas are judged on merit rather than rank.
- On the day: a facilitated half-day session for 8 to 20 people, on site or remote, using my Idea Mining method. Every idea is sorted by value, readiness and risk against the five levels of AI value.
- After: a short report within five working days, with three first projects, what each needs, where the data would be processed, the main risks and how to measure success. A follow-up call after two weeks.
Fixed price, by group size.
Independent technical advice and due diligence
For boards, investors, lenders and acquirers, and for leaders who want a second opinion before a big technology decision.
I have carried out technology audits for a major UK bank before it lent to businesses, and for a business investment organisation. I assess the technology, the team and the roadmap, and say plainly what is sound, what is at risk and what it would cost to fix. That includes AI claims: what a product really owns, what it depends on, and what happens if that dependency changes.
Typically one to two weeks, with a written report and a clear recommendation.
Connected products
For manufacturers and hardware ventures adding connectivity, smart features or a service revenue line, or fixing a connected product that underperforms.
Strategy, architecture and technology choices; device security and penetration testing; safe over-the-air updates; data sovereignty; and preparing for the EU Cyber Resilience Act, including a software bill of materials. Much of this work is for products sold into several markets with different rules. A short fixed-price audit is often the best place to start.
Decision analysis
For decisions where the cost, timescale or risk is genuinely uncertain.
Single-figure forecasts hide the thing that matters most: how wide the range of outcomes is. I use Monte Carlo simulation and scenario modelling to show the likely range, what drives it and which uncertainties are worth reducing first, so a board can decide with its eyes open.
Fractional technical leadership
For companies that need senior technical leadership without a full-time hire, or a steady hand through a difficult period.
One to three days a week, owning technology direction, architecture, delivery, suppliers and team. I have held COO and CEO seats in listed technology companies, led an IPO restructure and a rescue from administration, and I am as comfortable in a code review as in a board meeting.
Case study: Fienti
Fienti is a connected vehicle platform built for a client launching a new business, on the same multi-region pattern I developed for a global e-mobility business. It has since grown into a multi-tenant platform for e-mobility manufacturers and fleet operators. It was heavily AI-enabled and closely guided by me as architect: AI coding tools did much of the typing, and the engineering decisions were mine. It covers nine vehicle lifecycle stages from factory quality checks to end of life, with an operator portal, a workshop interface, iOS and Android apps and a customer web portal.
- Per-customer databases, so each customer’s data can stay in the region and jurisdiction it needs.
- Signed over-the-air firmware updates that can roll back, so a failed update cannot leave a vehicle unusable.
- Security tested throughout: 4,000 automated tests across the database, web, APIs, apps and Bluetooth connections, run with industry-standard security tools by different AI models from the ones that wrote the code.
- 18 regulatory zones, 11 languages with right-to-left layouts supported, and load tested to 300,000 simulated users.
It shows what an experienced architect with AI tools can now deliver without skipping security testing, recovery, data protection or regulation. Read the full case study. I wrote about the experience in When AI removes the translation layer and The hobby system and the professional system.
Not sure which of these fits? Tell me what you are trying to decide and I will suggest the smallest useful first step. Get in touch.
Tell me what you are trying to decide.
I will suggest the smallest useful first step. Based in Leeds, working in the UK and internationally, on site or remote.
Not ready to talk? Try the free AI Ladder Check. It takes about 3 minutes.