Your AI made safe to use, not just switched on and pointed at your data.
We procure the AI that suits the job, Copilot, OpenAI, Anthropic or a niche business tool, and make it ready for real work: the data sorted first, the access pinned down, the controls in place and the evidence a regulator will ask for. Buying a licence is straightforward. Knowing exactly what the tool can reach, and being able to prove it, is the work we do.
An AI assistant only ever knows what your data lets it see. Buy the licence, add the users, and it will happily answer from the half of your files that were shared too widely years ago. The risk is not the model itself. It is everything the model can reach the moment you turn it on.
We pick the right AI for the job and make it fit to use in your business: the data classified, the permissions corrected, the access rules set so it sees only what the person in front of it should, and a record of each control kept for whoever has to sign it off. You get the productivity without exposing your most sensitive material.
What we put right before AI reaches your data.
Getting an assistant fit to use follows a clear sequence.
Data. Made fit to be read.
Most businesses have years of files that drifted into being readable by far too many people. We classify what matters, apply sensitivity labels that travel with the document, and clean up the sharing nobody remembers setting. By the time an assistant can search it, the confidential material is marked as confidential and the oversharing has been put right, on premises as well as in Microsoft 365.
Access. Who it answers, and where.
An assistant should answer the same person differently depending on the device and location they are using. We set the rules so it works on managed devices and stays shut on a personal laptop at home. It respects the sensitivity labels rather than reading round them. And each person gets answers drawn only from what their role already lets them see. The AI inherits the access you have spent years getting right, rather than opening a new gap in it.
What stops it leaking out.
Data loss prevention so a prompt cannot quietly carry regulated data somewhere it should not go. A block on the consumer AI tools staff might paste client data into, the shadow AI that appears in most businesses. And a record of what was asked and answered where your compliance function needs that trail. Controls set to the risk the business actually carries, rather than left on the vendor defaults.
Then the tool itself, configured to fit.
Which AI you actually want depends on the work. Copilot where the value is in your Microsoft 365 content, OpenAI or Anthropic where a different one fits better, a niche business product where one exists for the job. We procure it, licence it correctly and configure it to sit inside everything above, so it respects your rules from day one rather than becoming something you spend the next year trying to contain.
Choosing the right AI is a business decision.
Buying the tool a competitor mentioned, or the one with the most marketing behind it, is how a business ends up paying for something that does not fit the job and cannot reach the data that would make it useful. The right choice turns on what you need it to do and what it would have to reach to do it.
So we settle that first, before any commitment is made. The tool can change later as the market develops. The classified data, corrected permissions and access rules underneath it do not, so swapping the tool is a small change rather than starting the whole exercise again.
What we settle with you first
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The job you actually want it doing.
Drafting, answering questions, sifting documents. A tool that is right for one of those is often wrong for the next, so we name the job before we name the tool.
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The data it would have to reach.
Whether the value sits in your Microsoft 365 content, in a line-of-business system, or in files still on a server. What it must touch decides what is worth buying.
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Where it is allowed to run.
Permitted on managed office devices, blocked on personal phones. The places people would try to use it decide which controls have to be in place before anyone does.
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The evidence to back it up.
We hold every job to the standard a regulator would expect, whether or not you answer to one: each control shown working, with the proof built in as we go.
Where businesses want AI, made safe to use.
Let staff ask the policy and procedure documents, without opening the locked ones.
People want plain answers about HR policy, finance procedure or the operations manual. The catch is that the same folders hold board papers and personal records. We label and lock those first, so an assistant answers from what staff are allowed to read and stays silent on the rest, with a record kept where compliance needs one.
Help sales draft from your pricing, without exposing the whole price book.
A drafting tool genuinely helps a sales team, until it can read margins, cost prices and every customer's negotiated rate. We sort out what each role is allowed to see before the tool goes near it, so a rep gets help drafting from the prices they are already cleared to give, and the sensitive commercial numbers stay where only finance can reach them. The same approvals everyone already follows still apply.
Put AI on the service desk, reading only the customer records that role should.
A tool that sorts and answers incoming tickets pays for itself quickly. It also reaches straight into customer history, and that role should not see every account in the business. We pin down what it is permitted to read, keep sensitive customer data out of where it should not travel, and make sure there is a record of what was looked at, so the team gets the help without quietly widening who can see what.
An AI readiness engagement, shaped during the opening call.
From here you can put a named engineer on it, hand the whole thing to us to run, take it as a fixed-fee project, or call us as and when you need support.
A senior lead maps what AI would touch, and what has to be sorted before it does.
What you get is a plan you can act on or hand to another firm. It sets out the use case in plain terms and the data it would reach. It names the access and controls to fix first, and the tool we would procure and why. A clear assessment of whether you are ready, and the work required to get there.
- Duration
- Set with you against the use case, the state of the data and how your environment is built, with the written plan delivered at the end.
- Deliverables
- A written readiness plan, the tool we would procure, and a clear order of work to get your data and access fit for it.
- Continuity
- The lead who frames it stays on through delivery, so the reasoning carries through to the people doing it.
The readiness work itself, the AI licences, and the data clean-up the plan calls for. Those are sized and quoted against the plan once it is agreed, so you commit to the work with the picture in front of you.
AI is one piece. We look after the whole.
Under one agreement, the estate is watched, maintained and documented as a single thing, by the team behind this page.
…and everything between.
Tell us what you want AI to do for you.
A call with the lead who would run the work. Tell us the task you have in mind, the data it would reach, and the requirements your security and compliance teams would need met. You leave knowing whether your data is ready, which tool fits, and the first thing we would put right.
