Financial companyGoing live · Financial services
Under each figure it says where it comes from: they're conservative estimates based on average volumes for the period.
A financial company with its new website already finished. One of their own employees had built it with artificial intelligence: design, structure, pages and content management, all done in-house and good enough to go live.
But the website only existed as files on a computer, and between that computer and an address that opens in a browser there's a series of steps that AI doesn't do, and whose order, if it isn't your job, you don't even know: where to buy space on a server, which one to choose, how to move the domain you already use, what to touch first so you don't end up offline.
Today many people get stuck here. Building a website is within reach of anyone willing to try, while publishing it has remained technical work, with a domain already in use and no room for mistakes.
Four steps that have to be done in this order, and it's precisely the order that stops people trying it on their own.
We started from what was there: how the website was built, what it needed to run, and what should happen to the domain already in use. That led to the quote, with the work and the cost agreed before we started.
Where to put a website depends on how it's built, and the cheapest plan often isn't the answer. We chose the right solution for this one, bought it and set it up: a single item, without anyone in the company having to learn a control panel.
This is the delicate step, because email also runs on a domain that's already in use. A mistake here shows up when emails stop arriving. The transfer was prepared and carried out taking into account everything that was already attached to that name.
Going live, certificate, checks that the website responded from every side. From the moment they said go ahead to the moment the address opened took one day: they'd already done the work themselves, only the last stretch was missing.
Artificial intelligence has made it easy to build the website, but publishing it is still hard, and hardly anyone expects that. Servers, domains, certificates and keeping email running are still technical work, and that's where a home-made project gets stuck halfway.
We didn't rebuild anything: their employee's work went live as it was, and in one day the company stopped having a new website nobody could see.
The area of work the whole engagement rests on.
The thinking behind this case, explained in full on the blog (in Italian).
Generating a website with a prompt takes a few seconds. Making it genuinely work for your business requires decisions that AI, on its own, cannot make.
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