For companies that want to leverage AI but do not know where to start.
Practical sessions on getting real work out of AI tools, including where they are reliably and confidently wrong. Run on site, on your own tasks, so people leave having done the thing rather than having watched it. Teams here usually take this as a couple of days spread apart, with time in between to try it properly.
- A plain-English grounding for everyone involved
- A shortlist of use cases worth trying in your business
- Working prompts and workflows for real tasks
- Ground rules for data, confidentiality, and review
More on training in AI use →
Senior technical leadership part-time: strategy, architecture, hiring.
A day or two a month, in your building rather than on a call. Being local means the standing session is easy to keep and easy to move, and that we can sit in the meeting where a decision is being made rather than hear about it afterwards. Strategy, architecture, hiring, vendor choices, and a straight read on what is going to slip.
- A technical strategy tied to the business plan
- Architecture decisions written down and justified
- Hiring: role definition, screening, technical interviews
- A regular, honest view of delivery risk
More on fractional CTO →
Test an idea in days with a working prototype, before committing to a build.
Something thin and real in days, pointed at whichever assumption is most likely to be wrong. The valuable hour is the one where we put it in front of your staff or your customers and watch, and here that is a tram ride rather than a scheduling exercise. The deliverable is a decision, not a demo.
- A working prototype real people can try, not a slide deck
- The riskiest assumption tested first
- An honest read on whether the idea is worth building
- A prototype that is thrown away on purpose, or a clear path to production
More on prototyping with AI →
Turn fuzzy ideas into clear, buildable specs before code.
The service that gains most from our being local. Half a day of interviews in your office surfaces the workaround nobody documented and the customer who always gets an exception. You end up with a written specification precise enough to build from or to put out to quote. Plenty of clients take it and hire somebody else, which is a perfectly good outcome.
- Stakeholder interviews and a written brief
- User flows and clear acceptance criteria
- API and data contracts where relevant
- A scope that can be estimated and challenged
More on software requirements gathering →
Custom applications engineered in Python and Go, prototype to production.
Most builds here start with us sitting in your office for a day, watching the process the software is meant to replace. That is where the requirements nobody thinks to mention live. The build then runs in increments you can actually use, close enough that you can drop in and look at the thing rather than read a status email.
- A working application, not a demo
- Clean, documented, testable code you own
- Deployment and monitoring set up from day one
- A handover you can actually pick up
More on bespoke software development →
Modern sites shipped fast with AI-accelerated workflows.
A fast, accessible site built in weeks, with AI doing the drafting and us doing the judgement. You get the content workshop face to face, which is the half of a website project that stalls when it is run over email. Hosting, forms and analytics wired up, and an editing setup you can use without calling us. Once it is live, our marketing partners can help get the word out.
- A fast, accessible, responsive site
- Content you can edit without calling us
- Analytics and forms wired up
- Hosting and deployment sorted
More on website development with AI →
A Saleor and Hugo storefront you own outright, with nobody taking a cut of every sale.
A Saleor back end on infrastructure you own, with a Hugo storefront served as static files. Worth a conversation once the percentage a hosted platform takes has become a real line item, or once your pricing has outgrown what one allows. The catalogue and pricing workshop is the part we would rather run in your office. Our hosting partners keep the store running day to day, and our marketing partners can help bring the customers in.
- Saleor running on infrastructure you control, not a tenant on someone else's
- A Hugo storefront that serves as static files and does not fall over on your biggest day
- Catalogue, customers and orders in a database you can query, export and back up yourself
- Payments, tax, shipping and fulfilment wired to the providers you already use
More on enterprise self-hosted ecommerce →
Security insight and processes automated across every system you run, not only the delivery pipeline.
Scanning, patching, secrets handling and access reviews moved into the pipeline, so the evidence exists before anyone asks for it. The part worth doing in person is the walkthrough at the start, where we establish what you actually hold and who can reach it. One of those two answers is usually a surprise. It also reaches past the pipeline, into what your identity provider, SaaS apps and cloud accounts can tell you about who has access to what. Where a formal assessment is called for, our cybersecurity partners carry it out and we automate what they find.
- Security data from your SaaS apps, cloud accounts and identity provider pulled together in one place
- The few findings worth acting on, rather than a dashboard of everything
- On- and offboarding automated, so access starts on day one and ends on the last
- Dependency, secret and container scanning and hardened builds in your pipeline
More on security automation →
Hands-on upskilling across the modern web stack.
Hands-on days on the modern web stack, run in your office with your own codebase open rather than a tidy example project. TypeScript, React, testing, accessibility, deployment. Being in the room matters here, because the useful part of training is the question someone only asks when they are already stuck.
- Sessions built around your codebase
- Exercises you keep afterwards
- Written notes and reference material
- Follow-up time for questions once it lands
More on training in web technologies →
When the AI-built prototype breaks in production, we stabilise it, refactor it, and make it maintainable.
When a prototype quietly became production and started falling over, the first week is mostly conversation with the people who know what broke. Spending that week in your office instead of on video is the difference. Stabilise first, then an honest read on what is worth keeping, then the tests and structure that make changes safe again.
- The immediate failures diagnosed and fixed
- A blunt assessment of what to keep and what to rewrite
- Tests, structure, and dependency hygiene
- A codebase you can change without fear
More on rescuing vibe-coded software →
Malware removed, the way in closed, and the site hardened so it does not happen twice.
Malware out, the entry point found and closed, and the site hardened so the next script gets nowhere. Mostly WordPress, Joomla and TYPO3, because that is what the automated attacks are written against. Being local mainly means we can start today, and that credentials can be changed with someone from your side watching. If the old host was part of the problem, our hosting partners can give the site a better home.
- The site cleaned and serving what it is supposed to serve
- The entry point found and closed, not just the symptoms removed
- Backdoors, injected pages and rogue accounts cleared out
- Updates, backups and monitoring set up so it does not recur
More on hacked website recovery →