Selected work

Complex work. Clear outcomes.

Four engagements across established businesses and early-stage ventures, each moving from an important question to working capability.

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Selected work

What we did. What it changed.

Four engagements, each told the same way: the challenge, what we did, and what it changed.

Eight businesses, one picture

UK healthcare manufacturing group

The challenge

A multi-site group with ambitious growth plans, but no group-wide view of performance. Each business ran its own systems; the same customer appeared differently in every one. Leadership couldn’t see which customers were underperforming, which were at risk of leaving, or where opportunities to serve customers across the wider group were going unclaimed.

What we did

Structured discovery with stakeholders across the group, then the engineering: data flows from every site, cleaned and joined into a single customer view. On top of it, a live analytics platform: group KPIs, customer segmentation, a per-customer revenue-opportunity model, and named target and at-risk lists the commercial team could act on directly. Delivered with full documentation, training, and a transparent account of what the data could and couldn’t yet answer.

The outcome

A seven-figure annual revenue opportunity identified within the existing customer base. The analysis revealed that most customers bought from only one part of the group: a mapped, named cross-selling opportunity. The platform was handed over completely: the client’s team runs it today without us.

From analogue heritage to digital scale

Premium retail & e-commerce business

The challenge

A premium retail business built over nearly a decade, with a devoted member community and a strong brand. It was run in a largely analogue way, with a thin leadership structure and everything ultimately depending on the founder. The brand had clear national potential, but no digital version of the business existed to reach it, and the analogue model was never built for that level of complexity.

What we did

Embedded strategy and commercial leadership through the transition: defined the digital version of the business model and the plan to build it; brought in the design, build, and operational teams to stand the channel up; mapped the capabilities the business needed to scale; brought the financial narrative up to institutional standard; executed a senior operations hire end to end; designed a growth strategy built around the discretion the brand’s partners depend on; and built custom operational technology. We prepared the business for outside investment, and strengthened its performance to the point where raising became a choice rather than a necessity.

The outcome

A digital channel that now exists: designed, built, and operating. A leadership structure that no longer runs through the founder. A business that is investment-ready, with the stronger position of not needing it. And an ongoing partnership: we continue to build the lean operational technology that scales the digital channel today.

Concept to working AI product

AI-first property technology venture (US)

The challenge

A strong product thesis (using intelligent workflow orchestration to attack the failure rate of residential property transactions) and nothing built yet: a business idea and a pitch. No architecture, no data model, no code, and a founding team that needed product and technical foundations created from zero.

What we did

Built the foundations from a blank page: product positioning; a canonical data model, designed AI-first from day one; a multi-agent AI architecture with security enforced at the database level; and a backend-first delivery plan. Equipped the founding team to design for themselves (tools, patterns, and working sessions), then proved it: a deployed, working product built by a single senior engineer using AI-leveraged development, with founder time spent on decisions rather than keystrokes.

The outcome

A working AI-first product, handed over, with architecture and foundations designed to survive into a full production build rather than be thrown away.

Correct first. Then fast.

Fintech startup (UK)

The challenge

A fintech giving businesses and consumers access to better interest rates on their cash. Pre-launch, mid-build, and facing the questions that decide whether a financial platform can be trusted: how the book of records should work, how transaction ledgers should be structured, and how customer accounts and funds would reconcile. These are the decisions that cannot be refactored away after launch.

What we did

Scoped consulting support on the two things that mattered most. First, correctness: worked through the book of records, transaction ledger structure, and customer account and fund reconciliation until the platform’s financial core stood on solid ground. Second, speed: set up the frameworks for modern AI-enhanced software development (agentic development systems, feedback loops, deployment strategies, and review gates), giving a small team a stable, structured way to build fast without losing control.

The outcome

The designs were adopted and the platform was built on them. It is live today. The build-out ran an order of magnitude faster than standard, and the team runs the development system themselves: no ongoing dependency on us. Scoped support, delivered, done.