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AI governance · UK & Ireland

Your team already uses AI.
Now make it safe to use.

Staff are pasting client data into chatbots, suppliers are switching on AI features you never asked for and the board wants to know where you stand. We find out what's actually in use, set rules people will follow and put real controls behind them.

Priced on scope. Written scope and fixed fee agreed before any work starts.
WHAT A SHADOW AI AUDIT USUALLY FINDS
Before anyone wrote a policy.
Personal ChatGPT accounts
used with client work
AI browser extensions
reading every page staff open
Meeting note-takers
joining client calls uninvited
AI features on by default
in the CRM, DMS and accounts package
Asking staff finds some of it. Technical discovery finds the rest.
Why it matters now

Banning AI doesn't work.
Ignoring it is worse.

BAN IT

Use moves to phones.

People still use AI, just on personal devices and accounts where you can't see it, protect it or prove anything about it.

IGNORE IT

Data goes where it goes.

Client data ends up in tools you never assessed, with no record of who decided that was fine. It holds until a client, insurer or regulator asks.

GOVERN IT

Safe use becomes the easy use.

Know what's in use, decide what's allowed, protect the data that matters and be able to prove it. People use AI more, not less.

The AI register

Every tool. A decision on each.

The centre of the work. Each AI tool and feature, who uses it, what data it touches, the risk and a recorded decision: approve, restrict or stop. Most uses get a quick yes. The few that don't get proper attention.

TOOLUSED BYDATA IT TOUCHESRISKDECISION
ChatGPT, personal accountsTax, payrollClient financialsHIGHSTOPMoved to business accounts, model training off
Free meeting note-takerPartnersClient callsHIGHSTOPReplaced with an approved tool and consent wording
CV screening featureHRCandidate dataHIGHRESTRICTDPIA completed, a person makes every decision
Microsoft 365 CopilotPilot groupMicrosoft 365 contentMEDIUMAPPROVE WITH CONTROLSOversharing fixed first, labels applied
AI writing extensionAdmin teamEverything on screenMEDIUMRESTRICTBusiness edition only, blocked on client systems
CRM lead scoringSalesProspect dataLOWAPPROVESupplier checked, scores reviewed quarterly
ChatGPT TeamAll staffInternal documentsLOWAPPROVENo client personal data, outputs checked
Illustrative register · every audit finds a different mixReviewed on a schedule, not once
The governance work

Find it. Decide. Control it.

Seven areas, with the depth of each agreed in scoping based on your size, your sector and how sensitive your data is.

01

AI inventory and shadow AI audit

Approved tools, personal accounts, browser extensions, note-takers and the AI built into software you already pay for. Technical discovery as well as asking people.

02

Risk assessment

Each use assessed against what it touches: client data, personal data, financial decisions, hiring, regulated advice.

03

AI acceptable use policy

Short enough to read, clear enough to follow. Approved tools, what data goes where, when a person checks the output, who to ask.

04

Technical controls

Approved tools on business accounts, risky ones blocked or restricted, data loss prevention where it matters. A policy without controls is a suggestion.

05

Supplier due diligence

A repeatable check before a tool is approved: where data goes, whether it trains their models, retention, security and contract terms.

06

Regulation, clients and insurers

Your obligations mapped and turned into evidence you can hand over when a client questionnaire or insurer renewal asks.

07

Training and ownership

AI literacy training, clear owners, an approval route for new tools and a review rhythm that keeps up with the next release.

AccountancyReal engagement · anonymised

Client financials in personal ChatGPT. Fixed in six weeks.

BEFORE

Staff across three offices were using different AI tools with no oversight. Client financial data was being processed through personal ChatGPT accounts.

DONE

Through a fractional CTO engagement: an AI acceptable use policy, everyone consolidated onto approved platforms and governance that satisfied both HMRC data handling requirements and the firm's PI insurer.

70
people
3
offices
6 wks
to full governance
✓
HMRC and PI insurer requirements met
What applies to you

No single UK AI law. Plenty of rules.

We map which of these reach your business and turn them into evidence. For formal legal advice, we work alongside your solicitors.

UK GDPR

Applies whenever AI touches personal data, including impact assessments for higher-risk processing.

ICO guidance

Expects accountability, fairness and transparency when AI is used on people's data.

Sector regulators

Bodies such as the FCA and SRA hold firms responsible for the tools they rely on.

EU AI Act

Can apply if you serve EU clients. Obligations are phased and some deadlines have moved.

Clients and insurers

Questionnaires and renewal forms increasingly ask how you manage AI.

How it runs

Three stages. One evidence pack.

01

Free scoping

Your business, the AI you know about and what's prompting the question: a client questionnaire, an incident, an insurer or a nagging worry.

YOU GET
  • 30-minute call
  • Fit and rough scope confirmed
02

Discover and assess

You approve a written scope and fee. We build the inventory, assess the risks and agree with you which uses to approve, restrict or stop.

YOU GET
  • AI inventory
  • Risk register with decisions
03

Policy and controls

We write the policy, configure the controls, train your people and hand over the evidence. Governance becomes how you work, not a document in a drawer.

YOU GET
  • Acceptable use policy
  • Controls configured
  • Supplier checklist
  • Board, client and insurer pack
  • Staff training

Need it kept current? We can stay on for scheduled reviews, or hand it to your team with a review calendar.

Practical, not theoretical

Written by people who build AI.

A lot of AI governance is written by people who have never deployed an AI tool. It shows: 40-page frameworks, risk matrices nobody updates and policies that ban things staff do every day.

We build and run AI ourselves, including Ellis, our AI receptionist, and we run security for our clients. So the policy reflects how the tools actually work, and the controls are ones we configure, not recommendations we leave you to work out. For the thinking behind it, read why shadow AI is your biggest blind spot.

FAQ

Questions boards ask first.

What directors, partners and compliance leads ask before an AI governance engagement.

The rules, ownership and controls for how your business uses AI. In practice: knowing which AI tools are in use, deciding what's allowed, protecting the data that matters, checking outputs where mistakes are costly and being able to show clients, insurers and regulators that you're in control.

Start with free scoping

Tell us what's
worrying you.

A client questionnaire, an insurer's renewal form, a near miss or a hunch that AI use has got ahead of you. A free 30-minute call to work out where to start.

01
Find what's really in use
Technical discovery, not just a staff survey.
02
Rules people follow
A policy written for staff, backed by real controls.
03
Fixed fee, agreed upfront
Written scope before anything starts. The call is free.
Free scoping · scoped engagement

Let's scope your AI governance.

Tell us where things stand. We'll reply within one working day to arrange a free 30-minute call.

Please do not include client data or credentials. We agree any access needed during scoping.

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