AI integration in London
The City's law firms, consultancies and in-house legal teams hold decades of documents and almost no way to search them by meaning. That is where most useful AI work in London starts: a matter team that wants to find every clause like this one, a partner who wants a first draft of a client response with the source paragraphs attached, a knowledge lawyer who wants the precedent bank to answer questions.
We build those features on your document store, with retrieval that cites the passage it used, permissions that match the matter, and a person who approves anything before it reaches a client. On FM360 we run a weekly summary written by Claude for a real operations team, and the lesson carries: the output earns trust only when every figure in it can be checked against its source.
Financial services drive more of London's software demand than any other sector. Payments companies, challenger banks, wealth platforms and brokers need ledgers that reconcile, APIs that stay correct when a partner retries, and apps customers trust with their money. Most of them reached the market fast, which was the right call at the time, and now run systems built for launch rather than for the size they have become. The work is making those systems dependable without stopping the business that runs on them.
Insurance is its own case. The specialty insurers, managing agents and brokers around Lloyd's still run much of their work on ageing policy administration platforms and spreadsheets that travel between firms by email. Lloyd's has moved away from Blueprint Two, the market-wide programme that was meant to digitise placement and claims, so each firm is modernising its own systems one integration at a time. The City's law firms and consultancies sit alongside them, holding decades of documents and few ways to search them by meaning.
Media, retail and the public sector bring different problems. Publishers run subscriptions, paywalls and content systems that have to hold up on a busy news day. Direct-to-consumer brands outgrow their first shop as they start selling into Europe and the US. Suppliers to councils and NHS bodies build services that have to work for every resident, including people using a keyboard or a screen reader. Hiring is the common constraint. ITJobsWatch puts the median advertised salary for a software engineer in London at £98,750 over the six months to September 2026, and banks, fintechs and the large technology firms compete for the same people.
Working with us from London is straightforward. Four hours of every working day overlap with yours, set across your morning, so stand-up, code review and the decisions that follow happen live. You talk to the engineer who writes the code, in your own Slack, GitHub and Linear. The rest of the day moves forward in pull requests you can read at your desk, with runbooks and architecture notes written as the work goes.
We are the right fit when you have a defined piece of work and need senior engineers on it this month rather than next quarter. Start with a fixed-price two-week piece and judge us on what ships. We add capacity while a London hire is still in progress, and we work white-label under your name for agencies.
Four ways this arrives.
A prompt that behaved on twenty hand-picked inputs meets ten thousand real ones. We build the evaluation set from your actual traffic first, so a change can be judged rather than argued about.
Usually a large context sent on every call, or a big model doing a job a small one can do. We measure where the tokens go before recommending anything.
Logging that captures the prompt, the retrieved context, the model version and the output, so a support question has an answer that is not a guess.
A fallback path, a timeout that is shorter than your user’s patience, and a degraded mode that is honest about being degraded.
A weekly maintenance pulse where Claude writes only the prose, checked against a JSON schema and a whitelist of numbers, with a template that takes over when the model fails.
Read the write-up →Asked by London teams.
How do you work with teams in London?+
Four hours of every working day overlap with yours, set across your London morning, so stand-up and code review happen live. We join your calls and work in your tools: Slack, GitHub and Linear. You talk directly to the engineer who writes the code. Outside the overlap, the work carries on in pull requests you can read at your desk, and runbooks and architecture notes are written as we go.
Do you build for London fintechs and insurers?+
Yes. For payments companies, challenger banks and wealth platforms we build ledgers that reconcile, webhook handling that stays correct when a provider retries, and React Native apps with biometric sign-in and step-up checks for risky payments. For insurers, managing agents and brokers around Lloyd's we replace spreadsheet workflows with internal tools: bordereaux intake, referral queues and approvals, connected to the policy systems you already run.
How does your rate compare to hiring in London?+
ITJobsWatch puts the median advertised salary for a software engineer in London at roughly £99,000. Our published rate is $35/hour, with a $5,000 minimum engagement. There is no recruiting time and no employment overhead, and we can start within days of the first call. Most clients begin with a fixed-price two-week piece at $2,800, so you judge us on working code before committing to more.
Can you work white-label for a London agency?+
Yes. London agencies bring us in when a client project needs more senior backend, mobile or infrastructure work than the team has free. We work under your name, in your repositories and your client's tools, and you stay the face of the project. The NDA comes before specifics, the code belongs to the client from the first commit, and runbooks and architecture notes are written as we go.
Will you tell us if we do not need a model?+
Yes, and it happens often. Several requests we have taken turned out to be a search problem, a rules engine, or a form with better defaults. We would rather say that in week one than bill for a year of prompt tuning.
Whose API keys?+
Yours, in your accounts, with the spend visible to you. We never proxy your traffic through infrastructure we control.
What about our data going to a provider?+
We map exactly what leaves your systems and where it lands before anything is wired up. Where that is not acceptable, self-hosted open-weight models on your own hardware are a real option and we will price both.
Do you fine-tune?+
Rarely, and not as a first move. Retrieval and prompt structure fix most of what people bring to us as a fine-tuning problem, at a fraction of the cost and with none of the retraining treadmill.