The AI you are buying, made safe to actually switch on.
We make the AI you bring in governed, ready and fit to switch on. We take the tools you have chosen, Copilot, OpenAI, Anthropic, the niche ones built for your sector, and get them fit for real work. The hard part is rarely the model. It is your data: what each tool can read, who is allowed to ask it, and which devices it answers from. Sort that first and you get something useful and defensible, a tool your team can use with confidence, answering from your own files. Skip it, and simply subscribing and adding users hands the tool everything your staff can open.
An AI assistant reads everything the person asking it can read. Point one at a tenant where permissions have drifted for years and the first week surfaces salaries, the acquisition folder and the HR case nobody meant to share, all summarised on request. The tool behaved correctly; it read what it was allowed to read.
Readiness is therefore a data task before it is an AI task. Information protected and labelled, access cut back to what each role actually needs, and a clear answer to who can ask which tool what. That work must come first, because the assistant inherits any gap left in your access controls. It stops the wrong data leaking out; it does not make every answer right, so people still check what the tool tells them.
Then there is where it runs. A sanctioned tool on a managed laptop is one thing. The same tool on a personal phone, with company data flowing through it and no way to see or stop it, is another. Doing this properly means deciding what the tool must never reach, and being able to demonstrate that the limit holds.
How we make Copilot and AI safe to put to work.
Copilot, ready before day one.
We put the data right before the licence goes live: sensitivity labels applied, permissions cut back, retention sorted. Then we help your people use it well, so Copilot answers from the files they are meant to see and earns its place in the working day.
The business tools, given access only to the data they should see.
OpenAI, Anthropic, Copilot Studio or a tool built for your sector, set up inside your own tenant. We draw the line each one works within before it is switched on: it reads what you have approved for it, and we test that the line holds.
Controls that hold, and policy a board can sign.
Not a policy document that goes unused. We put the controls in place first, including data loss prevention, sensitivity labels and blocking the unsanctioned tools staff have signed up to, then write the policy to match. Governed against the UK rules that apply to you, with the EU AI Act mapped where it applies.
The model is the straightforward part.
Anyone can buy a licence and switch a tool on. The questions that decide whether it is safe are not about the model at all. A well-run platform answers those cleanly. A neglected one cannot, because the day the tool starts reading is the day every old permissions gap shows up in its replies.
We treat a bought-in AI tool as another part of the platform. Our engineers own it, the controls are set against the rules that apply to you, and the people using it know what it is for and what it must never access. Where you want it tested against attempts to extract data through prompts or tool calls, our cybersecurity arm Factor1 carries out that work.
Tell us which AI tool you are about to bring in.
Tell us the tool you are weighing up, the licences already on the contract, and what your data looks like underneath. You will get a clear assessment of what to put right before you turn it on. From there you can take a named engineer, hand the whole thing over as a managed service, run it as a fixed-fee project, or call on us as you need it.
