AI development
We add AI where it saves someone real time: drafting, sorting, searching and summarising inside your product, built on the OpenAI or Claude APIs. And when an AI tool built your first version, we make it production-ready.
What people usually want from us when they say “AI”.
Your board or customers are asking what you are doing with AI.
We find the task someone repeats all day, like triaging requests or drafting replies, and add AI to that first. One useful feature beats a chatbot nobody opens.
You built something with Lovable, Bolt or Claude and it won’t hold up with real users.
We recently turned a UK dentist’s AI-built practice app into a multi-tenant SaaS that is now sold to other practices.
Your data is spread across spreadsheets and old systems.
AI is only as useful as the records behind it. Often the first step is getting data into one well-structured system, and we will say so.
You worry about customer data going to an AI provider.
We send only the fields a feature needs, strip personal details where possible and log what was sent, following the same GDPR and HIPAA rules as the rest of the build.
AI as a feature of a working product, not a demo on its own.
Drafting, summarising, classifying and searching, added to the screens your team uses, with a person approving anything that matters.
We keep what works from a Lovable, Bolt or Claude prototype and rebuild auth, data and billing properly.
A UK dental practice app, now sold to other practices.
Help customers find, compare and track products across catalogues.
Mebag’s universal cart.
Assistants that take actions in your systems within limits you set, with a log of everything they do.
One clean system of record, so AI features have something reliable to work from.
i-mve’s structured job data.
We say plainly which projects are live, on hold or finished.
An IT service platform in the spirit of ServiceNow, with the OpenAI API in its stack alongside tickets, resolution tracking and service requests.
One cart for every online shop: save products from any store, track prices and check out in one place, with AI helping shoppers find and compare. Built on Shopify app development.
An all-in-one platform for UK removals and storage companies: enquiries, quotes, jobs, staff, invoices, storage and accounting in one place. It started as one removals firm’s system and is now sold on subscription.
The same steps as any build, with the AI feature tested against your real examples before launch.
Bring the problem and how you handle it today. We ask questions and tell you honestly what we would build first. We won’t pitch at you.
What is in scope, what goes on the backlog, the stack we’d use and why, the timeline and one price.
A kick-off meeting, a shared Slack channel and access to the repository. Rehan is your day-to-day contact.
We design the main screens and journeys first. Nothing gets coded until you have signed the designs off.
We agree the architecture before writing code, then build with updates twice a week on Slack. Any new request is logged as extra hours and reported weekly.
Deployed to production with your Git repositories and documentation handed over. Bug fixes are free for the first two months.
Real ranges from our own projects. Your number comes from the scoping call, as a fixed quote.
After the free two months, maintenance is $700 a month. New features are quoted as you need them, or you can have a dedicated engineer from $2,500 a month.
Platform-level reviews of the agency — not cherry-picked project comments.
What I love about Team7 is that they always say: No worries, we can find a solution. This is the mindset of builders, creators, people who do not have fear, the partner you need if you want to excel.
Working with Mo and his team over the past year has been nothing short of exceptional. I was admittedly sceptical about investing such a large amount, but results exceeded every expectation.
Their responsiveness and willingness to take on our challenging task were impressive.
They are amazing and consistently exceed expectations. They go above and beyond what is asked of them and their communication is top notch, so much so that we joke that they never sleep. The best of the best.
Straight answers on providers, data and cost.
Ask us something elseMostly the OpenAI and Anthropic Claude APIs. We pick per feature based on quality, speed and cost, and keep the code so you can switch provider later without a rebuild.
Yes, and that is most of our AI work. We add the feature inside the screens your team already uses, send the model only the data it needs, and keep a log of what it did. Your existing system stays; the AI becomes one more part of it.
Yes. We review what you have, keep what is sound and rebuild what won’t survive real users, usually authentication, the data model and billing. See our vibe-coded app rescue page for how that works.
A focused AI feature inside an existing product is usually a small project, from $5,000. A new AI-first product is priced like any first version, typically $8,000 to $12,000. AI provider usage fees are billed to your own account.
We use the providers’ business APIs, which do not train on your data by default, and we send only the fields a feature needs. We will walk you through exactly what leaves your system.
Every build follows the OWASP Top 10, with encryption for sensitive data and two-factor login included as standard. We have built systems that follow GDPR and HIPAA data-handling rules. We hold no security certifications, and we will say so if an auditor asks.
You do. At handover you get the Git repositories and written documentation. There is nothing tying the software back to us, so you can take it to an in-house team whenever you like.
Bug fixes are free for two months. After that, maintenance is $700 a month. New features are quoted as you need them, or you can have a dedicated engineer from $2,500 a month.
Rehan, one of our two founders, is your day-to-day contact. You get updates on Slack twice a week and can see the code in your repository at any time. We split working hours between us to cover US, UK and Australian time zones, and we usually reply within an hour, sometimes the next morning.
A 30-minute call. We’ll tell you where AI helps, where it doesn’t, and roughly what the first feature costs.
