We put AI to work inside
your business.
You know AI matters. We show you where it fits and make it work.





Three things we hear every week.
“We know AI matters. We do not know where it applies to us.”
You have read the case studies. None of them are your business. The ROI is not clear, the scope feels enormous, and the last thing you need is a six-month strategy engagement before a single line of code gets written.
“We keep paying more for AI. Is it actually working?”
The tools are in real use and the bills climb every month. What is missing is a straight answer on impact: whether it is paying off, and where the money is going.
“Our pilot never made it to production.”
Getting a model running is the easy part. Making it work inside your systems is the job. Prototypes that perform brilliantly in controlled demos collapse the moment they connect to real production systems, real data, and real edge cases.
The AI Deployment Path.
Four steps, and you choose at each one whether to keep going. It starts free, and it is never open-ended. Here is exactly what working with us looks like.
Start anywhere.
AI Proof of Value
Prove one AI use case pays, before you commit to more.
Claude Code Enablement
Turn Claude Code licences into measured engineering delivery.
Legacy Modernisation
Get off the legacy system without losing what it knows.
AI Readiness Assessment
Know exactly where you stand, and what to do first.
AI Workshops
Get your teams genuinely good at AI, on their own work.
AI Adoption & Change Management
Turn deployed AI tools into daily habits.
Shadow AI Assessment
Know what AI your staff already use, and make it safe.
Managed AI Services
Keep your production AI working, safe, and improving.
Where it’s already working.

Case study
A booking assistant that never sleeps
JB Luxe Detailing
Case study
Bookings tripled. An assistant, CRM and diary now run the whole client journey.

Case study
AI scheduling across the chain
Showcase Cinemas
Case study
Weekly scheduling fell from forty hours to under two, and revenue per screen rose 18%.

Case study
Tenders out in days
Centric Community Research
Case study
A research and proposal platform. Proposals that once took weeks now take fifteen minutes.
Everyone's using AI. Almost nobody's winning with it.
The problem was never the model. It's that AI rarely reaches the actual work.
We're practitioners. We've spent years building AI and automation that runs inside real businesses, not slide decks about it, and we get it past the pilot. We're in the Anthropic Partner Network and hold the Claude Certified Architect credential. Start with the free Fit Check
Your data is governed your way.
The first question is almost always the same: where does our data go?
Before we build anything, we put the answers in writing: where your data lives, what the system can reach, and how you would prove all of it in a security review. We agree the scope and the sign-offs first, and nothing reaches production without your approval.
The people who scope it build it.
We're a small team of senior practitioners, and everyone here has shipped AI into production before. The people who scope your engagement are the ones who lead it and do the building, and they stay accountable through go-live and the weeks after, when the questions that matter actually surface. You work with the same faces from the first call to a running system.






Fixed price. Fixed scope. Live in weeks.
Fixed fees, defined scope, no open-ended discovery phase. The fee is agreed in writing before we start, and every stage ends with a decision that is yours. You can stop after the diagnostic and take the plan to somebody else. Some people do.
We work alongside your teams to integrate AI into how your business actually operates, so you can move forward with clarity, not just speed.
Three things move the cost: the systems we touch, the readiness of your knowledge, and the sector rules you work under. The diagnostic prices all three and shows the return you can expect.
Frequently asked questions
You get a fixed price, agreed before any build starts, once the diagnostic has shown us what you're actually deploying. We don't quote blind on a first call, and we don't bill by the hour. By the time we put a number in front of you, the scope behind it is fixed too.
Less than you'd expect. The Fit Check is ten minutes. The diagnostic runs on a handful of interviews with the people who know the work, and we do the analysis between the sessions rather than in them. We keep the demand on your team light, and we tell you the shape of it before we start.
From the diagnostic: a ranked list of where AI fits, a business case built on your real numbers, and a costed plan with the ROI to expect. From a build: a live system your team owns, documented and running in production. Not a slide deck.
The model was never the hard part. Deployment is. Most pilots die between the demo and production, because nobody owned the outcome and the work never reached a real workflow. We start with the workflows where AI pays for itself first, and we build for production from day one.
Both, and you're never locked in. The same team that scopes the work builds it, so the plan is costed against real delivery, not guesswork. But you own the plan. Take it and build in-house if you'd rather.
No. We build AI into the work your team already does and train them to run it, then hand it over. Your people know your business, and its politics, better than we ever will. We make them faster, we don't replace them.
Usually, yes. Your data stays in the region and the cloud account you choose, nothing you send trains the model, and access is scoped and time-limited. The Data Residency section above has the full version, written so you can forward it to compliance.
Governance drifts and models move. Managed AI Services keeps what's live working and improving: monitoring, model and tooling updates, and governance upkeep under an agreed service level. You keep getting better at this without hiring for it.
Start where it costs you nothing.
The free AI Fit Check takes ten minutes. You get a scored verdict and the one opportunity we would pursue first, sent straight to your inbox. No call required.
Rather talk it through? Thirty minutes. No pitch. We walk through your current AI setup, name the three things we would fix first, and tell you honestly whether you need us at all.
