AI & Data Solutions
AI Quality, Security & Governance
Checking AI work is accurate, keeping data safe, and agreeing sensible rules for how AI is used.
Discuss Your ProjectIn plain terms
Once AI is producing answers that people rely on, you need to know it is accurate, who can see what, and what to do when it is wrong. This service covers testing AI, protecting the data it touches and writing down sensible rules for staff, either as part of a build or as a review of something you already have.
Does this sound familiar?
- Nobody can say how accurate the AI is, or whether the last change helped
- Questions about customer data and third-party AI providers have no clear answer
- Staff are using AI tools and there are no rules about which, or for what
A typical scenario
A 200-person professional services firm
Before
Staff have started using AI tools on their own, including pasting client documents into public chatbots. A pilot assistant built by a supplier gives good answers in the demo, but nobody can say how often it is wrong or what data it sends where.
After
A short review lists what is in use and what data goes where. The pilot gets a test set of real questions and a monthly accuracy score. The firm publishes a two-page policy: approved tools, what must never be pasted in and who to ask. Staff know the rules because they are short.
How we deliver it
From first call to running
- 1
Take stock
We find out what AI is in use, officially and unofficially, and what data it sees.
You get: An inventory with a risk rating
- 2
Test what you have
We build a test set, measure accuracy, and try to break it.
You get: A report on accuracy, the kinds of failure and the fixes
- 3
Fix the main risks
Guardrails, access controls, logging and approval steps.
You get: Changes made, or specified for your team
- 4
Write the rules
A short policy and guidance in plain English, agreed with your management.
You get: A policy and a one-page staff guide
- 5
Keep checking
Regular retesting, and after any change.
You get: A quarterly check
What we need from you
- Access to the AI tools and pilots in use
- Someone from management to agree the rules
- Your existing data protection policies
- Your legal or compliance adviser, for legal questions
Where it works best
- AI pilots about to be rolled out more widely
- Staff already using AI tools informally
- Customers asking how you use AI with their data
Worth sorting out first
- Legal advice or certification: these come from your solicitor or auditor, and we work alongside them
- No AI in use or planned yet: start with a discovery session instead
- A tick-box exercise: the review pays off when you are ready to act on what it finds
How we work with you
A fixed-price review, usually two to four weeks, then optional quarterly checks.
Discuss Your ProjectTypical technology
Questions
Can you review something we have already built?
Yes, and it is a good place to start. Bring the pilot and we will tell you what we would fix before it is used more widely.
Is this legal advice?
No. We cover how the systems are built and run. For law and regulation you need your own solicitor or compliance adviser, and we will work alongside them.
What do you test when you test AI?
Accuracy on real questions, how it behaves when asked something off-topic or tricky, whether it leaks information it should not, and how consistent it is from one day to the next.
How do we stop staff pasting client data into public tools?
Part of the answer is a short, clear policy. The other part is giving them an approved tool that is good enough that they do not need to.
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