AI transformation that fits. Exactly.

Every transformation starts with an honest question: where would AI make a real difference to this business, and where is it just noise? We start by training your people in AI use on their own tasks, so the people who know the work can see what the tools do well and where they are confidently wrong. Where the questions are bigger than one team, we act as your fractional CTO: a strategy tied to the business plan, the expensive decisions written down, and a straight read on risk. That role does not stop here. It runs alongside every step that follows.

An idea worth pursuing gets a working prototype built with AI in days, rather than a slide deck. It is deliberately thin, aimed at whichever assumption is most likely to be wrong, and put in front of real users. What comes out is a decision: build it, change it, or stop. Stopping here is cheap, and that is the point.

A prototype that earns its keep becomes a specification through requirements gathering: interviews with the people who will use it, flows and data made explicit, and acceptance criteria everyone signs up to. It is the step most AI projects skip, and the reason so many prototypes end up in production by accident. The specification is yours, and you are free to take it to somebody else to build.

Then it gets built for real. Usually that is bespoke software in Python or Go, wired into the systems you already run, with AI doing the heavy lifting and engineering judgement on every review. Where the change faces your customers, it may be a new website built with AI, shipped in weeks, or, once a hosted store has become what is holding you back, self-hosted ecommerce on Saleor and Hugo that you own outright. Our hosting partners can run it for you, and our marketing partners can help it get found once it is live.

New software means new ways in, and code written with AI needs more scrutiny rather than less. Our founder co-founded a SaaS security posture management company, so we treat security as a data problem first. Security automation pulls together what your identity provider, SaaS apps and cloud accounts already know, turns it into the few findings worth acting on, and automates the routine work around them, such as access reviews and offboarding. On the delivery side, scanning and hardened builds go into the pipeline, where they cannot be skipped, and the evidence your customers and auditors will ask for builds up on its own. When you need a formal assessment, our cybersecurity partners carry it out and we automate what they find.

The last step is the one that makes it a transformation rather than a project: your own team runs it. Hands-on training in web technologies on your own codebase, documentation people actually read, and a handover you can pick up. If you would rather not run the infrastructure yourselves, our hosting partners keep it running day to day, and if you want someone senior keeping an eye on things, the fractional CTO arrangement carries on. If you want neither, nothing is left depending on us.