Setting up private AI is the start, not the finish. The return comes when each department understands what AI can do for them and is tooled up to automate their own easy wins. Our AI Architects design the estate; our AI Solution Engineers embed it, team by team.
Our own business runs on AI assistants and private agents. We deploy what we use every day.
Every rollout starts with permissions, testing and monitoring - so AI only sees what it should.
Business plans, local models and on-premise options keep your data out of other people's training sets.
We can coach your team to do it, or implement it quickly and support it for you.
Designs your private AI estate end to end: the local AI hardware, the agent teams, security and data boundaries, and how it all fits what you already run. The person who makes sure it is built right and built safe.
Works alongside each department to find the easy wins and build the workflow automations that bank them. Hands-on enablement, so your people own the tools rather than just being shown them.
An Architect reviews your environment, data and use cases and designs the private AI estate.
Local AI computers and agent teams deployed on your own infrastructure, private and portable.
Solution Engineers sit with each team, map their repetitive work and pick the easy wins.
Workflow automations built with the team, so adoption sticks.
Time saved and capability gained, tracked, then expanded where it pays back.
Your digital team needs the right setup and training, or you simply will not get traction. Around £50,000 covers one AI supercomputer and roughly six months of engineering to connect your data and systems safely and get your first workflows running.
Even if you plan to host in the cloud later, testing AI locally first significantly reduces risk and lets you develop far more quickly. Private and under your own control is the safest place to prove it.
That gets you your first digital employees in a department. Treat them like interns: place them in one team, let them learn how that team actually works, then transfer that departmental skill and expertise at a granular level before you scale to the next.
Because you own the infrastructure rather than renting it, the value compounds, and the payback is typically well inside two years.
The scale of the easy wins is the reason. Measured on raw throughput, a local 70B model gets through the same volume of processing far faster than a person can. In token terms, what a skilled operator reads and writes across a twelve hour shift, the model can process on the order of a thousand times faster. Pointed at the right repetitive work, that is the size of the prize.
One of the UK fastest growing companies, which scaled from £10m to £150m in a single year, runs on private AI we built. Expert-led design, then department by department enablement, is how that capability gets into the hands of a whole business.
Three ways to start safely with one solution, then the full AI Readiness assessment when you are ready to look at the whole business. Prices exclude VAT.
A one-off check of the system you want to connect AI to, with an executive summary report.
The Core assessment run continuously, with Secure Score monitoring and a full gap analysis report.
Whilst certainly not recommended, technically connecting AI is often simple. If standard connectors exist, we can deploy these for one of your systems (API or MCP) once your board has approved the access.
A full environment assessment and strategic engagement on how AI would best work for your business.
Connecting AI to your business systems has never been easier. Ready-made connectors, MCP servers and one-click integrations mean anyone in your team can link an AI tool to email, files, cloud storage or line-of-business apps in minutes.
That ease does nothing to reduce the cost or the data privacy risk. An AI tool connected without guardrails can read data it should never see, send it somewhere you have not approved, and run up cloud bills nobody signed off. The liability sits with your business, not with the AI vendor.
It only takes one prompt"I just asked AI to search the internet and download cat videos. I didn't know there were 20 million of them, and our Azure storage went up 1,000x overnight."
Is your board happy to pay the bill?
Before any AI connection goes live, your board should know what it can access, what it could cost and who carries the liability. AI Readiness Core checks exactly that for the system you want to connect, including a cost guardrail review.
Most engagements start with an Architect to design the estate, then Solution Engineers to embed it in each department. Smaller projects can be engineer-led once the design is set.
No. The day rates are the expert time. The local AI computers and agent teams are a separate, owned investment, from around £50,000 depending on scale.
It depends on the tasks you automate, but because you own the infrastructure the payback is typically well inside two years, and it keeps compounding after that.
Tell us what you want AI to do for you and we will show you the safest, quickest way to get there - no obligation.
