Why using AI to build an app isn’t as simple as it might seem.

There's a new way to build software, and it feels like magic. You type a sentence describing what you want — "build me a booking system for my salon" — and an AI tool writes the whole thing for you. No coding, no developers, no waiting weeks. Within minutes, you have something that looks like a real app.

This is often called "vibe coding": you describe the vibe of what you want, and the AI does the rest. It's an incredible way to test an idea quickly. But there's an important difference between something that looks finished and something that's actually built properly — and that difference is exactly where small businesses tend to get caught out.

Think of it like a house. An AI tool can throw up walls, a roof, and a front door in a day, and from the street it looks like a real home. But nobody checked the foundations, the wiring, or whether the pipes are connected properly. It looks fine — until the day it doesn't.

Here's what we see go wrong, again and again, when businesses rely on AI-built software with no one checking it over.

1. It works fine — until the day it suddenly doesn't

The app runs perfectly in testing. Then a customer does something unexpected, or lots of people use it at once, or a service it depends on has a hiccup — and it breaks. Because no one who actually understands the code is behind the wheel, fixing it isn't quick. What should be a small fix turns into hours or days of guesswork, often during exactly the moment your business can least afford it — like your busiest sales day.

2. Your customers' data might not be as safe as you think

This is the big one. AI tools are trying to give you what you asked for as fast as possible — they're not thinking about protecting your business. We regularly find AI-built apps with things like passwords and secret keys left sitting in plain sight, or customer information that's far more exposed than anyone realises. None of this is obvious when you're looking at the app. It only becomes obvious when something goes wrong and by then, it's a data breach, not a bug.

3. It won't grow with your business

An AI tool builds for the one thing you asked it for today. It doesn't think about what you'll need in a year — a new product line, a loyalty scheme, a second location. Often the way your information is stored underneath is done in a rushed, disorganised way. Adding something new later doesn't just mean building the new feature, it can mean tearing out and redoing what's already there, which costs far more than doing it properly the first time would have.

4. Every small change becomes risky

Without anyone checking the work as it's built, there's no safety net. Change one thing to fix a small problem, and something else quietly breaks somewhere you weren't looking. You won't find out until a customer tells you. Over time, business owners get afraid to touch their own software at all, which is the opposite of the speed and freedom they were promised.

5. You may be more locked in than you realise

The AI tool picks the technology behind the scenes and you're rarely told what it chose or why. That can mean your business becomes quietly dependent on a particular provider or platform, without anyone deciding that on purpose. Moving away from it later, once your business relies on it, is a much bigger and costlier job than it needed to be.

It can also mean that you end up with a bunch of unmanaged dependencies, that means security gaps can appear or things can simply stop working because nobody is looking after things when changes are made by the people that supply the software yours depends on.

6. Rules and regulations don't check themselves

If your business handles payments, health information, or other sensitive customer data, there are real legal responsibilities around how that data is stored and protected. An AI tool won't know your industry's rules, and it won't flag when something you've asked for doesn't meet them. Falling short here isn't just a technical problem as it can mean fines, legal action and loss of customer trust.

So we shouldn’t use these tools?

These tools used well can help deliver working software more quickly, but they need deep software development experience to ensure they are not creating you a set of problems underneath what looks like an attractive app.

That's where Screen comes in

We help small and medium businesses get the best of both worlds: the speed of AI-assisted building, with the safety net of real engineering experience behind it. In plain terms, we can:

• Take a look at what you've already built and tell you how solid it is and what needs fixing before it becomes a problem.

• Show your team how to use AI tools safely

• Turn a promising prototype into the real thing properly built, properly secured, and ready to grow with your business.

• Look after it going forward, so you have someone keeping things running and up to date, without needing to hire an in-house tech team.

If you've built something with AI tools and aren't sure how safe it really is, or you're about to start and want to do it the right way from day one, we'd love to talk it through with you.

Get in touch with us.