#1 AI-Native Engineering in London
AI-to-Production in London.
We turn AI-generated prototypes from Lovable, Bolt, Cursor, and Claude Code into production-grade software trusted by London's top startups and enterprises.
London's #1 AI Code Engineering Team • GBP 1,200 starting price • 48-hour turnaround on audits
Areas in London
Prototype to Product
A practical ai-to-production plan for London
London is Europe's AI capital. From Shoreditch fintechs to Canary Wharf institutions, every founder here is experimenting with AI code generators — and every one needs production engineering to meet FCA and ICO requirements. We start with the risks, workflow and measurable outcome that matter to your team, then scope the smallest production-ready step for the London market.
- Review the current ai-to-production workflow and codebase
- Prioritise security, reliability and compliance for UK
- Leave you with a written scope, risks and next delivery step
Get a London Quote in 24 Hours.
Tell us about your project. A senior engineer — not a salesperson — reviews your brief and sends a scoped, fixed-price proposal in GBP within one business day.
- Senior engineer reviews your London project — not a salesperson
- Fixed-price GBP proposal within 24 hours
- A free initial conversation about your London project
- Clear notes on UK GDPR / FCA / ICO requirements and open risks
Get Your London Quote
Share your project details — a senior engineer replies with a scoped, fixed-price GBP proposal within 24 hours.
Trusted by Founders Who Ship, Scale & Operate
London's Trusted Partner for AI-Generated Code to Production
London is the beating heart of Europe's tech ecosystem. From Shoreditch's startup incubators to Canary Wharf's financial institutions, the city is embracing AI coding at unprecedented speed. But AI-generated code has a dirty secret: 73% of vibe-coded apps have critical security vulnerabilities, and 89% lack the architecture to scale beyond a demo. Control Shift is London's leading AI-native engineering team — we take your AI prototypes and turn them into production software that handles real users, real transactions, and real compliance requirements under UK GDPR and FCA regulations.
Industries We Serve in London
The industries shaping London's economy — and the AI-powered software we build for them.
Fintech & Banking
FCA-regulated apps with Open Banking, PSD2 compliance, and institutional-grade architecture.
E-commerce & Retail
High-conversion platforms with Stripe, Klarna, and custom payment integrations.
Healthcare & MedTech
NHS-compliant patient platforms, clinical decision support, and health data systems.
PropTech & Real Estate
Property platforms, valuation tools, and estate agency technology.
LegalTech
Case management, document automation, and legal AI platforms.
Media & Entertainment
Content platforms, streaming technology, and digital publishing tools.
AI-to-Production Developers in London
London's tech scene is evolving at breakneck speed. From Shoreditch's startup ecosystem to Canary Wharf's established financial institutions, every organisation is exploring AI coding tools. But the gap between a Cursor prototype and a production application that meets FCA, ICO, and Open Banking standards is massive. Our London-based engineers understand both worlds — we speak the language of AI coding tools and the language of UK regulatory compliance. Whether you built your MVP with Lovable over a weekend or your team is shipping daily with Claude Code, we ensure your codebase is secure, scalable, and ready for London's demanding market.
AI-Built App Problems We Fix for London Teams
Each AI builder has its own habits. Knowing them tells us where to look first, which is why most audits find the serious problems on day one.
What we find
Supabase tables with Row Level Security turned off or set too loosely, so the public key in the browser can read or change other users' data. A 2025 vulnerability report (CVE-2025-48757) found this pattern on many Lovable-built sites.
What we do
We write RLS policies table by table, move sensitive logic into edge functions, and test access as a logged-out user and as a second account.
What we find
Secret keys stored in client-side environment variables (anything prefixed VITE_ ends up in the browser bundle), and long fix-it prompt loops that leave duplicate components and dead code behind.
What we do
We move secrets to the server, rotate the exposed ones, and remove the duplicated code so the next change does not break three other screens.
What we find
One database shared by development and production, so an agent's test run or migration touches live data. In July 2025 a Replit agent deleted a founder's production database during a code freeze, which made this risk widely known.
What we do
We separate development and production databases, add automated backups with a tested restore, and limit what an agent can run against production.
What we find
Large AI-written changes merged without review: the same logic written three different ways, dependencies nobody chose on purpose, and no tests to show what an edit broke.
What we do
We add tests around the main user flows, remove unused dependencies, merge the duplicated logic and set up pull-request checks before anything reaches production.
v0 app rescue
Next.js
What we find
Server actions and API routes generated without an authentication or ownership check, so anyone who finds the endpoint can call it.
What we do
We add session and ownership checks to every server action and route, plus input validation and rate limits on public endpoints.
Already seeing these problems? Our vibe-coded app rescue fixes them in 2-4 weeks, or start with a vibe-coded app audit.
Rescue or Rebuild? How We Decide
Not every AI-built app is worth saving. We tell you which side yours falls on after the audit, before you pay for fixes.
Rescue makes sense when
- The main user flows work, they are just fragile
- Data sits in a real database with sensible tables
- The stack is mainstream (React, Next.js, Supabase, Firebase, Postgres)
- Problems are concentrated in auth, security, payments or performance
A rebuild is cheaper when
- Login, payments or permissions only exist in the frontend
- Data is stored in local storage, JSON files or one giant table
- Every fix breaks something unrelated, even after cleanup
- The app has to meet a compliance standard the current design cannot reach
Worth saving? See vibe-coded app rescue. Better to rebuild? A rebuild keeps your designs, copy and lessons from the first version, so it is usually much faster than the original build. See prototype to product.
Related Services
More AI Services in London
Other Markets
We Also Serve
Manchester
UK
Media, fintech & creative AI engineering from the North.
Birmingham
UK
Manufacturing, e-commerce & enterprise AI engineering.
Leeds
UK
Fintech, legaltech & healthtech AI engineering.
Liverpool
UK
Creative-tech & health AI engineering from the Baltic Triangle.
New York
USA
AI-to-Production for teams in New York and across USA.
San Francisco
USA
AI-to-Production for teams in San Francisco and across USA.
Los Angeles
USA
AI-to-Production for teams in Los Angeles and across USA.
Chicago
USA
AI-to-Production for teams in Chicago and across USA.
FAQ
Common Questions
AI-to-Production in London starts from GBP 1,500 for a code audit and scales up based on scope. Every project gets a fixed, scoped quote in GBP before any work begins.
Yes. We can start with the code you already have, whether it came from Lovable, Bolt, Cursor, Claude Code, or another tool. The first step is a practical review of what is working, what is risky, and what should be rebuilt before you spend more on features.
A code audit delivers results in 48 hours. Full production engineering typically takes 2–6 weeks depending on the state of your AI-generated code and production requirements.
UK GDPR / FCA / ICO is part of the delivery conversation, not a claim we make after the fact. We identify the data, access, retention and audit requirements that apply to your project, then document the controls that are in scope.
Yes — 100% code ownership on every project. Git repository, deployment credentials, and complete technical documentation are delivered at handover.
Yes. We work with code from Lovable, Bolt, Replit, Cursor, Claude Code, GitHub Copilot, Firebase Studio, and any other AI coding platform. Whatever tool generated your code, we can help improve it.
Yes — that's exactly our sweet spot. We've rescued and production-engineered dozens of AI-generated MVPs from London startups. Whether you built on Lovable, Bolt, Cursor, or Claude Code, we'll audit your codebase, fix critical issues, and restructure it for production.
Absolutely. UK GDPR compliance is built into every London project — data minimisation, consent management, right-to-erasure, and ICO-aligned data handling. For FCA-regulated products, we add Open Banking, PSD2, and financial conduct requirements.
Sourced & Verified
Artificial Intelligence in Practice
Sourced background on AI adoption across industries.
Artificial intelligence systems learn from data to perform tasks — such as language understanding, image recognition and decision support — that typically require human intelligence.[1]
Generative large language models can draft text, answer questions and automate routine conversations, making them widely used for customer support and content production.[2]
Sources & References
- [1]Artificial intelligence — Wikipedia · en.wikipedia.org/wiki/Artificial_intelligence
- [2]Large language model — Wikipedia · en.wikipedia.org/wiki/Large_language_model
Need a second pair of eyes on your London project?
Tell us what you have, where it is getting stuck, and what a useful first release looks like. A senior engineer will suggest a sensible next step and a scoped GBP proposal.
Get in Touch
Tell us about your project
- We respond within 12 hours
- NDA available on request
- Dedicated consultant specialists
WhatsApp Us
+971 54 483 2290Direct Email
[email protected]