Production readiness for AI-generated solutions.

The situation

You have an AI-generated solution that seems to work.

You built something with ChatGPT or Claude. It works on your computer, people have seen it, and the idea has already gone further than most.

The difficult decision comes next. Can it safely handle sensitive data, real customers, and the cases where the model is wrong? Or are you asking IT to take responsibility for something they did not build and cannot yet fully understand?

First · my view of the situation

Start with the decision, not the technology.

You bring the working solution and the decision you are facing. Together we examine what it does today, where it creates value, and what has to be true before your organisation can rely on it.

With 20 years of experience in what works and what does not for continued success, I will give you my view first. If the answer needs deeper expertise, I know exactly who from my multidisciplinary team to involve and when.

Then · specialist expertise

A complete view in two weeks.

An AI-generated solution usually carries one person's view. Over two weeks, we replace it with a 360-degree perspective and identify what is missing before the solution enters real operations.

Together we align the business, customer, technology, delivery, validation, security, and audit perspectives that determine whether it can be trusted.

• Business needs
• Customer expectations
• System constraints
• Solution delivery
• AI model output validation
• Cybersecurity
• The evidence your teams and auditors will ask for

At the end, you have one prioritised list. Every item states what is missing, what it exposes you to, what it will cost to fix, what it depends on, and whether it must be resolved before the solution can be used.

What you get

A confident decision about what happens next.

A clear understanding of which items must be fixed before the solution can run in your business, what they cost together, and how that compares with the value you expect over a year.

You and IT get the same facts, so the discussion moves from “it works” versus “it is not safe” to evidence everyone can evaluate.

It also turns what only you know today into something the business owns, so every question no longer has to come back to you.

After the two weeks

You choose what to fix or whether to stop.

Each fix has its own price, dependencies, and finish. You can choose only what the solution needs, then compare its real running cost with what it returns before deciding again.