AI RESCUE
For AI-built and AI-powered systems you're no longer sure you can trust.
Services > Software Development > Software Rescue > AI Rescue
You built something with AI, and now you're not sure you can trust it.
Maybe you built it yourself with AI tools. Maybe a vendor did, or your own team did. Either way it's now in front of real users or real data, and you've quietly realised nobody has actually checked whether it's sound. AI generated code that works in a demo and AI generated code that's safe to run a business on are different things, and the gap between them is where things go wrong.
We tell you the truth about what you've got. For over sixteen years we've worked in regulated, operationally complex environments where software failing isn't an inconvenience, it's a compliance, commercial, or operational problem. Assessing AI-built systems for soundness, and making them dependable, is something we do well.
The honest first step is The honest first step is knowing whether you can trust it what you actually have
The instinct, when you're unsure about something you've shipped, is either to ignore it and hope, or to tear it down and start again. Both are expensive. Before anything else, we tell you the truth about what you actually have.
An AI assessment is a thorough, independent review of your AI-built or AI-powered system. We look at where it exposes you (data handling, security, access), whether you can trust its output and how it behaves at the edges, whether it can tell you when it breaks, and what it really costs to run as the model and its pricing change. The output is a clear, honest picture, not a sales pitch and not a push to build more AI. Sometimes that picture says the system is more sound than you feared. Sometimes it says less. Either way, you'll know where you stand before you spend another pound.
For most clients, the assessment is the right way to start. It's contained, defined, and it lets both sides see the problem clearly before deciding what happens next.
The situations we're brought in to assess
-
You've shipped something real using AI assisted development, and it works. But you're not the engineer who'd normally sign this off, and you can't tell whether the foundations are sound or whether you're carrying risk you can't see.
Getting a second opinion isn't failure. It's what a good operator does before it breaks in front of a client.
-
Someone sold you AI, built it, and moved on. Now you're running it, unsure whether it does what it promised, what happens when the model or its pricing changes, and who's accountable when it gets something wrong.
-
Something was built quickly to prove the idea, often with AI tooling, and it works well enough to demonstrate. But "works in a demo" and "runs reliably as a system the business depends on" are separated by everything that doesn't show up in a demo: data integrity, security, observability, error handling, and the long tail of edge cases. We close that gap and make it real.
WHY AI-BUILT SOFTWARE FAILS QUIETLY, AND WHY THAT'S THE RISK
The danger with AI-built systems isn't usually the failure you can see. It's the silent one: the confident wrong answer, the missing log when something breaks, the data handling nobody reviewed, the cost that creeps because no one is watching it. AI tooling made it possible to build something that looks finished without the scrutiny that normally makes it safe. That scrutiny is the whole job, and it takes judgement, not just effort.
Sixteen years in regulated, operationally complex environments.
Honest assessment first, even when the answer is no.
Systems rebuilt and made dependable without downtime.
THE HONEST FIRST STEP IS THE SAME, WHATEVER BUILT IT
AI Rescue is one door into our wider Software Rescue service. However your system was built, we begin the same way: an honest, independent assessment of what you actually have, where you're exposed, what's genuinely fixable, and what would be better rebuilt.
The output is a clear picture, not a sales pitch and not a push to build more AI. You'll know where you stand before you spend another pound.
This includes:
Systems built with AI, by a vendor, your team, or you, that you're no longer sure you can trust.
Inherited or ageing systems whose original developer or agency is long gone.
Stalled, overrun, or abandoned builds that need to be taken on and made production-ready.
If you're running something built with AI and you can't fully trust it, the most useful thing you can do is understand it properly. That's where we begin.
