Case studies

Case studies, approved by the clients in them.

Every case study here is signed off by the client before we publish it. Two kinds of proof matter: relevance to the way your business works, and confidence that the engineering will stand up in a demanding environment.

Production readiness

ISRCTN · Audit → remediation → user testing

Proving an AI-built platform before researchers rely on it: ISRCTN

How the UK's clinical study registry found out exactly what stood between its AI-built results platform and production, and is prioritising fixes to get feedback from researchers.

ISRCTN had already built a working prototype version of the platform in house, using AI coding tools: accounts, the twelve sections, automated checks with AI-assisted warnings, an admin area and payments. It worked. The open question was whether it would work with real researchers and real data, because an application built quickly with AI can look finished while resting on foundations that will not hold in production. ISRCTN asked Brainqub3 to find out.

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A production-readiness audit
A plan in the order users meet the problems
Fixes that are proved, not just made

“I really appreciate it. Really impressed by the thoroughness of your review.”
Andrew Freeman, Chair, ISRCTN

Remediation under way · researcher testing next

Business relevance

Inclusivity EQ · Method → product

A consulting platform built on Claude for a specialist risk consultancy

A founder-led consultancy specialising in AI risk and ethical governance had spent years refining proprietary assessment frameworks, delivered by hand to clients in high-stakes, governance-heavy environments. To scale beyond manual delivery, the founder commissioned us to turn the method into a product. We began with a discovery phase covering the architecture, data flows, and a security model matched to the privacy demands of their client base, then moved into the build once the architecture was approved.

The platform is built on top of Claude. Agents convert the consultancy's framework documents into structured assessments, with a practitioner review gate at every step: the tool acts as a 'check engine light', never a replacement for expert judgement. It ships with customer and admin portals, encrypted document handling, a full audit trail, multi-respondent surveys, and report generation on the firm's own templates. The architecture is framework-agnostic, so new methodologies are uploaded as bundles with no redevelopment.

For businesses built on specialist expertise, this is the relevant archetype: a hard-won methodology translated into a technology-enabled service, with practitioner review retained at every step.

"I met John at an AI conference, and within minutes of connecting, I could tell his ethics and engineering principles were sound. That first impression only deepened as our conversation grew into a working relationship and I became his client. On the things that matter most to me, ethics and transparency, he never once disappointed.
How he builds tools is only part of the story. What sets John apart is the whole package: his professionalism, his flexibility, and a rare ability to grasp complex concepts quickly and translate them into genuinely flawless work. I work with engineers every day, and few operate at his caliber.
When the goal is to build agents or tools that are ethically engineered and responsibly built, John is my first choice without hesitation."
Dr. Veronica Lawrence-Ortega · CEO & Co-Founder, Inclusivity EQ LLC

Built on Claude · in production

Enterprise-grade engineering

IPI Switzerland · Workshop → build

From a workshop to a build: the Swiss Federal Institute of Intellectual Property

The IT and engineering teams inside the Swiss Federal Institute of Intellectual Property (IPI) were curious about AI agents but wary, with real questions about the technology's limitations, the risks, and the impact on their work. We started with a workshop that took them from the origins of the technology to its honest limitations, and answered the strategic questions directly.

That session built confidence across the organisation. Its service development and innovation team then engaged us to advise on the architecture of an internal software research agent: one that reads across their codebase, issue tracker, documentation, and process logs — without their code ever leaving a governed environment. We guided the end-to-end architectural design, including the tooling integrations, guardrails, and governance their strict privacy requirements demanded.

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Evidence that we can design serious agent systems inside strict privacy and governance constraints.

Workshop: from the technology's origins to its honest limitations, with strategic Q&A
Architecture advisory: an internal software research agent across codebase, issues, and docs
Governance first: code never leaves their governed environment

Read the full endorsement

The next step

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