Finance & insurance
A regulatory position you can defend, and client-facing operations that stop waiting on internal ones.
The offering
One partner, from discovery to on-call.
For organisations that would rather brief one team on the product, the platform, the data and the operations than coordinate four.
How we deliver
Four stages, each ending in something a risk owner can sign.
01
Discover & frame
Map the constraints, the stakeholders and the systems already in place. It ends in a written assessment, including what we will not pretend to know yet.
02
Design & contract
Architecture decisions, API and data contracts, service objectives, and security posture. Written down, so product, platform and compliance are looking at one document.
03
Build & verify
Incremental delivery with automated tests, instrumentation from the first commit, and performance checks that happen before the marketing traffic does.
04
Operate & evolve
Runbooks, an on-call rota, cost and model monitoring, and refactors planned around the team that will inherit the code.
One team, all the way through
The engineers who make the architecture decisions are the ones who answer for them later. That is the whole argument for hiring one team instead of four.
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Platforms, and the integration between them
Back-office cores, partner APIs, billing and inventory bridges, and explicit event contracts between domains. The part of the system nobody demonstrates and everybody depends on.
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Product delivery: web, mobile, internal tools
New products, overdue refactors, and the internal tools your operators open first thing every morning. Design systems, accessibility, instrumentation, and a release process the support team can live with.
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Data, reporting and the figures behind them
Pipelines, quality checks and lineage, from an operational dashboard to a regulatory pack. Built so finance and compliance can defend the numbers without rebuilding them first.
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AI you are allowed to ship
Evaluation sets before deployment, boundaries around personal data, explicit tool and prompt contracts, an incident playbook for when a model misbehaves, and cost telemetry accurate enough for finance.
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Advisory, audits & rescue missions
Architecture reviews, second opinions on a vendor proposal, AI readiness under data-protection constraints, and steady hands when production is on fire. Sometimes all four in the same quarter.
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Reliability, performance & scale
Load tests shaped like real traffic, failure drills scheduled during working hours, incident reviews that build trust instead of blame, and tuning that shows up in the latency customers feel.
New builds, rescues already in flight, and ten-year-old stacks meeting a regulator that did not exist when they were written. Often across several languages and time zones.
No case studies, on purpose
An anonymised case study is a claim nobody can check: an unnamed client, an unverifiable number, and a story told by the only party with an interest in how it ends. We would rather be judged on what you can open yourself — the repositories we run in production, with their code, their history and their open issues.
Read the code insteadBy industry
What the work usually looks like in each, and what the people paying for it are trying to obtain.
Health & life sciences
Traceable records and care pathways that answer an audit question without a manual reconstruction.
Culture & media
Audience platforms that survive the peak, with a back-office that does not become the bottleneck.
Retail & logistics
One stock figure every channel agrees on, and fewer promises to customers you cannot keep.
Energy & large operators
Contract and supplier governance with a view an executive can read without an analyst present.
Public sector & institutions
Service delivery you can publish figures about, because the figures hold.
What you get first
A short written assessment: the risks as we see them, the order we would do the work in, and an honest account of what we do not yet know.
Not sure where to start? Send a paragraph about the users, the constraint and the deadline. We will reply with a clear next step, even when that step is not us.