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Services · Tech
AI audit
Find out what AI your staff are already using, what business data might be leaking into it, and whether any of it is safe, before it becomes a problem. Plain-English, no hype, no obligation.£900 to £3,500
What ai audit actually means
An AI audit is a clear-eyed look at how artificial intelligence is already being used in and around your business, what data is going into those tools, and whether any of it is a risk, followed by a plain-English report and a sensible plan. The starting point most owners miss is that this is not a future question. Your staff are almost certainly using AI already, in their own way, whether or not anyone decided they should, and nobody has looked at what that means.
The quiet risk is data. When someone pastes a contract, a customer list, a set of figures or a confidential email into a free AI tool to save time, that information can leave your business and end up somewhere you have no control over, often without the person realising they have done anything wrong. Multiply that across a team and you have a steady, invisible leak of exactly the information you are otherwise careful to protect, with no record of what went where.
We find out which AI tools are actually in use, including the unofficial ones, look at what kinds of data are going into them and where that data ends up, and assess the real risks: information leaking out, answers being wrong in ways that matter, privacy and confidentiality, and the new rules now arriving, including the EU AI Act whose obligations begin to bite through 2026. Then we write it up plainly, with a prioritised, practical plan, and no obligation to buy anything. The aim is to let you use AI's genuine benefits safely, not to scare you off it.
See it work
Rather than take our word for it
Some of these are fine to paste into a free AI tool, some should never be. Which is which?
Sort each one
0/8 rightWrite three subject lines for a spring newsletter about our new range of garden furniture.
Tidy up the wording of this blog post that we have already published on our website.
Draft a polite reply to a customer who is annoyed about a late delivery.
Here is our customer spreadsheet with names, home addresses and dates of birth. Please format it into a table.
The admin login is admin / Summer2024! and the live API key is sk_live_EXAMPLE1234notreal.
Here are our unpublished quarterly results, before we file them. Check that the figures add up.
Summarise these patient notes for me. They include names and medical conditions.
Paste in the full signed contract with our biggest client, including the confidential pricing schedule.
A scripted demonstration. A simple rule of thumb: if it names a real person, or unlocks something, keep it out of a public AI tool.
How it helps your business
The first benefit is seeing a risk that is currently invisible to you. Shadow AI use, staff quietly using whatever tools they find, is happening in most businesses right now, entirely off the books, and you cannot manage what you cannot see. An audit brings it into the light: here is what is actually being used, here is what data is involved, here is where the genuine exposure is. That visibility alone puts you back in control of something that has been running unsupervised.
The second is protecting your confidential and customer data before it leaks rather than after. Once sensitive information has gone into the wrong tool it cannot be pulled back, and if it is customer data you may have a legal and reputational problem on your hands. Finding the leaks and closing them, with simple rules staff can actually follow, stops a slow, silent problem from becoming a public one, which is far cheaper than dealing with the aftermath.
The third is getting the upside of AI without the downside, which is the whole point. AI genuinely can save your business real time and money, and the answer is not to ban it, which just drives it further underground. The audit lets you say yes to it deliberately: the right tools, used on the right data, with the right guardrails, so your people get the benefit safely rather than taking risks nobody sanctioned. It turns AI from an unmanaged liability into a managed advantage.
What is included
- Finds the AI tools your staff are already using, including the ones you do not know about
- Checks what business or customer data may be going into them, and where it ends up
- Flags the real risks: data leakage, accuracy, privacy and the new rules coming in
- A plain-English report and a sensible, prioritised plan, with no hype
- No obligation to buy anything, and no jargon
Real examples
Illustrative cases. Tap one to see what happened and what could have been done.
The confidential data going into a free chatbot
The case
A professional firm assumed nobody was using AI. In fact several staff were routinely pasting client documents into a free chatbot to speed up their writing, sending confidential information straight out of the business, with no one intending any harm and no record of what had gone where.
What could have been done
Finding out which tools were actually in use would have surfaced it early. Moving the team to a safer arrangement that does the same job without the leak, and giving them one clear rule about what must never be pasted into a public tool, would have closed a genuine confidentiality breach before it ever surfaced.
Banning it had just driven it underground
The case
A business reacted to the AI wave by banning the tools outright. Staff used them anyway on their personal phones, now completely out of sight and with no safeguards at all, so the ban had made the risk harder to see rather than smaller.
What could have been done
Rather than a ban nobody follows, adopting a sanctioned, safer set of tools with sensible limits would have brought the usage back into the open where it can be managed. Handled that way, a business ends up both safer and more productive than either the ban or the free-for-all leaves it.
Ready to sort ai audit?
Tell us what is going wrong and we will come back with a fixed price in writing, after a short scoping call. No obligation, and no jargon.
Common questions about ai audit
How much does ai audit cost?
£900 to £3,500. We agree the exact number before any work starts, so there are no open ended day rates.
How long does ai audit take?
Most work of this kind is live within three to four weeks. We give you a date before we begin and tell you early if anything threatens it.
Do you work outside Edinburgh?
Yes. We are based in Edinburgh and work on site across the Lothians, Fife and Glasgow, and remotely across the United Kingdom.
AI audit in your area
Same service, same prices, wherever you are. On site across central Scotland and remotely across the rest of the UK.
AI audit in EdinburghAI audit in LeithAI audit in FifeAI audit in Livingston and West LothianAI audit in GlasgowAI audit in DundeeAI audit in Aberdeen and the north eastAI audit in StirlingAI audit in FalkirkAI audit in Perth and PerthshireAI audit in LondonAI audit in ManchesterAI audit in BirminghamAI audit in LeedsAI audit in LiverpoolAI audit in SheffieldAI audit in BristolAI audit in Newcastle upon TyneAI audit in NottinghamAI audit in LeicesterAI audit in CoventryAI audit in CardiffAI audit in SwanseaAI audit in BelfastAI audit in SouthamptonAI audit in BrightonAI audit in ReadingAI audit in Inverness
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