Glowing data streams flowing through a city at night
The challenge
The AI governance challenge
AI adoption is already happening inside your organisation. Most security teams just can't see it yet.
78
%
of employees using AI at work are bringing their own AI tools (BYOAI).
creating governance and compliance blind spots for security teams.
Source: Industry research, 2026
Office at night overlaid with digital padlock icons
57
%
of employees admit hiding their AI usage from their employer.
so most organisations have little idea how AI is really being used.
SOURCE: BUSINESS INSIDER
48
%
of workers have pasted company data into public AI tools.
raising serious IP, privacy and compliance concerns.
SOURCE: BUSINESS INSIDER
Abstract dark blue 3D puzzle pieces
77
%
of technology leaders say current AI governance frameworks are inadequate.
organisations are struggling to keep pace with adoption.
SOURCE: BUSINESS INSIDER
The visibility gap
You can't govern
what you can't see
Most organisations have no central view of how AI is being used.
As adoption accelerates, traditional security controls struggle
to provide the context required for effective governance
No central view
of AI usage
HIGH RISK
unclassified
managed
Server room secured with a digital padlock overlay
Which AI tools employees are actually using
No alert fires for this. It happens in the background, invisible to IT.
Adoption is outpacing oversight
Hands operating a secure interface with a glowing padlock shield
Whether personal AI accounts are being used for work
Personal accounts use consumer terms of service — your data trains their model.
What information is being shared with AI systems
Every document, prompt and summary shared is a potential data breach.
Where compliance and data-protection risks are emerging
No governance means no audit trail when a regulator asks.
Which departments are adopting AI fastest
Fast adoption without oversight creates shadow risk that grows over time.
The outcome
What effective AI governance looks like
Governance isn't about saying no to AI. It's about seeing it clearly, reducing the risk,
and letting your people use it with confidence.
Complete AI visibility
Understand exactly how AI is being used across the organisation — approved and unapproved tools alike.
Business outcome
Eliminate AI blind spots and gain confidence in your AI adoption strategy.
Analyst examining a holographic circuit display
Reduce data-exposure risk
Identify potentially risky interactions before sensitive information ever leaves the business.
Business outcome
Eliminate AI blind spots and gain confidence in your AI adoption strategy.
Enable safe innovation
Move beyond simply blocking AI. Give people guardrails that help them make better decisions in the moment.
Business outcome
Increase adoption while reducing risk.
Strengthen compliance
Support governance initiatives aligned with
the regulations and standards your board cares about.
Business outcome
Demonstrate accountability and audit readiness.
Abstract blue blocks with glowing orange seams
How it works
A smarter approach to AI governance
A clear, repeatable path from invisible AI usage to confident, governed adoption.
01

Discover

Identify the AI tools in use across the organisation — including unsanctioned apps and personal accounts.

Discovery & scoping
02

Understand

Gain contextual insight into how AI is being used, and exactly where risk is emerging.

Discovery & scoping
03

Govern

Apply policies aligned to your organisational requirements and compliance obligations.

Discovery & scoping
04

Guide

Coach users at the point of risk, building safer AI behaviour over time.

Discovery & scoping
05

Measure

Track adoption, risk reduction and policy effectiveness, and report it to the board.

Discovery & scoping
Compliance & regulation
Prepare for emerging AI regulations
AI governance is fast becoming a board-level issue. Organisations are increasingly expected to demonstrate:
Manager viewing a wall of live data dashboards
GDPR
Data protection & privacy
EU AI Act
European AI regulation
ISO 42001
AI management system
NIST AI RMF
AI risk management framework
What regulators expect

Secure assets with cybersecurity

Clear AI risk-management processes

Accountability and executive oversight

Evidence of policy enforcement

Responsible AI adoption practices

Use cases
Built for regulated &
data-sensitive teams
Where confidentiality, IP and compliance matter most, safe AI adoption matters most.
Financial services
Protect sensitive financial information while letting teams benefit from AI-powered productivity.
Legal services
Reduce the risk of confidential client information being exposed through AI interactions.
Healthcare
Support secure AI adoption while maintaining patient privacy and compliance obligations.
Professional services
Gain visibility over AI usage and protect intellectual property across distributed teams.
Why Intouch Tech
Safe AI adoption, without slowing the business
Most organisations think they have two choices. There's a third — and it's where the real advantage is.
BLOCK AI
allow ai
govern
Option 1
block AI
 - Kills productivity gains
 - Pushes usage into the shadows
 - Frustrates teams and slows innovation
Usage doesn't stop — it just moves out of sight.
option 2
allow AI
 - No visibility of what's shared
 - Data leakage and IP risk
 - Compliance exposure grows
Productivity now, but risk you can't see or answer for.
☆ the third option
GOVERN AI
✔ Full visibility of AI usage
✔ Guardrails and in-the-moment guidance
✔ Safe adoption with compliance built in
Keep the productivity. See the risk. Stay compliant.
Intouch Tech helps organisations gain the visibility, governance and controls needed to embrace AI confidently — enabling productivity while reducing security and compliance risk.
Who delivers this
Backed by a UK managed-security team
AI governance isn't a product you switch on and walk away from. Our security specialists help you discover usage, set sensible policy and keep oversight in place as adoption grows — so you stay in control without slowing people down.
UK-based
icrosoft Solutions Partner
ISO-aligned governance
24/7 managed security

talk to a specialist

Board meeting in a futuristic operations room
Compliance & regulation
Govern AI for every person in the business — from a single per-user rate.
Team working at screens beneath a glowing world map
Starting from
5
£
PER MONTH
PER USER
Everything included

Complete visibility of AI usage across your organisation

Governance and policy controls

In-the-moment guidance for safer AI use

Compliance-ready reporting and oversight

Book an ai governance assessment

faq
AI governance questions
Straight answers for IT, security and compliance leaders.

What is AI governance and why does my business need it?

AI governance is the set of policies, training and controls that keep AI tools being used safely and consistently across your business. Without it, staff reach for unapproved tools, paste in confidential data or act on wrong answers, which opens you up to data, compliance and reputation risk.

What is shadow AI?

Shadow AI is staff using AI tools without IT knowing or approving: pasting sensitive documents into free public chatbots, using personal AI accounts for work, or leaning on browser extensions and unreviewed AI features. It's shadow IT for the AI era, and it's already happening in most organisations.

Do we need an AI acceptable-use policy?

Yes. An acceptable-use policy gives staff clear rules: which tools are approved, what data they can enter, when a human has to check the output, and how to handle anything AI produces. Cyber insurers, customers running due diligence and ISO 27001 auditors increasingly expect to see one.

How is AI governance different from existing cyber security policies?

It overlaps with your cyber security, data protection and HR policies, then adds the AI-specific risks: prompt injection, training-data exposure, inaccurate output, intellectual property and bias. We line AI governance up with the policies you already have rather than duplicating them.

Will this slow down our AI adoption?

No, it does the opposite. Clear rules give staff the confidence to use AI because they know what's allowed. Most organisations find AI use speeds up once governance is in place, because the fear and guesswork are gone.

How long does an AI governance review take?

Most take two to three weeks. The first discovery call runs about 30 minutes, and full delivery depends on your size and how much AI you're already using.

Do you cover Microsoft Copilot, ChatGPT and other AI tools?

Yes. Our approach is tool-agnostic, so it covers Microsoft Copilot, ChatGPT, Google Gemini, Claude and any other AI your team uses, including the ones you don't yet know about.

How much does an AI governance review cost?

It depends on your size and complexity. The first 30-minute call is free with no obligation, and you get a fixed-price proposal before any work starts. For most UK businesses it costs far less than cleaning up a single AI data leak.

Free data readiness audit

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0333 370 7000

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[email protected]

Response within 1 business day, guaranteed

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