AI Project Rescue is a service for companies that built an app, a prototype or an AI feature with AI tools or with an outside contractor, and now find it does not work reliably, is not secure, or is not being used. In two weeks we review the code, security, architecture and user experience and tell you in writing what to keep, what to fix and what to rewrite, with a cost and a timeline for each option.
Code and security review — you learn what is actually wrong in the code, not just that “something doesn’t work”.
User experience review — we check whether people understand the product and whether they trust the AI’s answers.
A rescue plan with prices — you get three options (keep, fix, rewrite) with a cost and timeline estimate.
It works in the demo. What about in real life?
With AI tools, an app that looks finished now appears within days. The problems show up later: when a hundred users log in instead of three, when someone enters something unexpected, or when a developer who did not write the code has to take it over.
Most of these projects do not need to be thrown away. What you do need to know is which parts are solid and which are not. That is our job at this stage: we tell you what you have, without selling you new development.
What companies come to us with
A prototype from an AI tool can’t handle real users. It works for one person; with a hundred it crashes or becomes slow and expensive.
Nobody knows whether the code is secure. Passwords and keys are in the code, a logged-in user can see other users’ data, and there are no tests.
Nobody uses the AI chatbot or pilot. Technically it works, but it does not solve a problem employees or customers actually have.
An AI feature was added without thinking about the user. People do not know when to trust the answer, so they either do not use it or trust it too much.
How it works
We start with a free introductory call. If a review would not help you, we say so straight away. We then sign a non-disclosure agreement and get access to the code and a test environment; we do not need production data. A developer and a UX designer review the system, and you get a written report and a presentation with time for questions.
After the report, the fixes can be done by your team or by us, through the On-Demand Product Team or Build & Launch packages. If it turns out to be cheaper to start again, we will tell you that too. In that case the next step is Product Discovery, where we set the scope properly before anyone writes a new line of code.
✅ Ideal for companies that have already put time and money into an AI prototype and need to decide whether to keep investing in it.
When?
When you have a working prototype or AI feature but do not dare put it in front of real users. Or when you already have, and are now firefighting bugs, development has slowed down, and your contractor has no answers.
Why?
Because fixing blind is the most expensive option. A review costs less than a month of development in the wrong direction, and management gets a decision it can defend with data.
Code and architecture: structure, duplication, dependencies, and whether another team could take it over.
Security: login and permissions, keys and passwords in the code, access to other users’ data, input validation.
Data and privacy: where the data is stored, what is sent to the AI model provider, GDPR compliance.
The AI part: quality and repeatability of answers, wrong answers, model cost per user, how answers are checked.
User experience: whether users understand what the system can do, what happens on an error, and when a person has to decide.
Operations: releasing new versions, backups, error monitoring, hosting costs.
Frequently asked questions
Usually not. It is often enough to fix security, add tests and rework the parts that do not hold up under load. The review tells you which parts are cheaper to rewrite, part by part.
It depends on the findings, which is why a cost estimate is part of the report. You get a separate price for the most urgent fixes and for the full clean-up, so you can decide step by step.
Only the members of our team working on the review, after signing a non-disclosure agreement. We work in a test environment and do not need your customers’ production data.
Yes. The report is written so that your existing contractor or in-house team can carry out the fixes. You can invite them to the presentation of the findings.
Then we say so in writing, with the reasons and with what you can carry over from the existing work: requirements, data and design. That is a result too, because you stop investing in something that will not work.
Most projects kick off within 2–4 weeks of our first conversation. Discovery packages are fastest — some start within two weeks. For larger builds, lead time is 3–5 weeks. Either way, we'll give you a clear start date before you commit to anything
Ready for a clear picture?
Tell us what you have. We reply within one working day.
From €3,500
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