Chartered Engineer · CEng MIET · Leeds

A second opinion on technology decisions, from an engineer who still builds.

Independent advice for engineering and product companies, and for the boards, investors and lenders behind them. Plain answers, fixed scope, no retainer unless you want one.

No pitch. You leave with a suggested first step, whether or not it involves me.

Catherine Ives-Yim
COO and CEOof listed technology companies, through an IPO and a rescue
Due diligence for a major UK banktechnology checked before the bank lent
Six regionsUK, Europe, Middle East, Far East, North America and Africa, including a UN health agency
Still buildsarchitected a production connected-vehicle platform for a client

How I can help

Fixed-scope pieces of senior judgement, with a clear end point.

All services →

If you run the company

A facilitated half day with the people who know the work. Ends with three first AI projects worth doing, each with scope, data needs, hosting choice and success measures.

Time
Half a day, 8 to 20 people
You get
A written report within 5 working days, and a follow-up call

Architecture, device security, safe firmware updates, and readiness for the EU Cyber Resilience Act.

Start with
A short fixed-scope audit

Scenario modelling that shows the realistic range of cost, time or risk, not a single hopeful number.

You get
The likely range, what drives it, and which uncertainties to reduce first

Technology direction, architecture, delivery, suppliers and team, for companies without a full-time CTO.

Time
1 to 3 days a week

If you are backing one

An independent read on a product, platform or team before you invest, lend or acquire. The same work I have done for a major UK bank.

Time
Typically 1 to 2 weeks
You get
A written report and a clear recommendation
Before the board decides

Second opinion

A plain-spoken view on one technology decision, supplier or plan, including AI claims: what a product really owns and what it depends on.

Scenario modelling that shows the realistic range of cost, time or risk, not a single hopeful number.

You get
The likely range, what drives it, and which uncertainties to reduce first

Most work in green tech and e-mobility, health tech, connected products and manufacturing. Other sectors

Case study · Fienti

A production connected-vehicle platform, architected by me and built with AI.

Built for a client launching a new business, and now a multi-tenant platform for e-mobility manufacturers and fleet operators: nine lifecycle stages, from factory checks to end of life, across an operator portal, a workshop portal, customer apps and a web portal.

“AI did much of the typing. The engineering decisions were mine.”
Read the case study →
12,000+vehicles managed on the platform
4,000automated security tests across database, web, API and apps
18regulatory zones, with features set per country
11languages, with right-to-left layouts supported

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.

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