Independent AI risk & governance

Use AI with confidence.
Know where the risks are.

Triple R helps businesses understand how AI is being used across their organisation, identify where that use creates risk, and put proportionate controls in place — without unnecessarily slowing down innovation.

Organisational visibilityMapped
Your businessOne clear view
01Tools
02Data
03Access
04Reliance
05Controls

“You can’t govern what you can’t see.”

Our philosophyAI is too useful to avoid — and too powerful to leave unmanaged.
The visibility gap

AI adoption is already happening. Governance often isn’t.

Employees increasingly use ChatGPT, Copilot and AI embedded within everyday software. The use may be valuable — but management can be left without a reliable view of what is happening.

Do you know…

01

Which AI tools employees are using?

02

What company, client or personal information is being entered?

03

What systems AI has access to?

04

How much employees rely on AI output?

05

Whether AI can act without human intervention?

06

Whether suitable governance and controls exist?

The first step isn’t banning AI. It’s understanding how you’re already using it.

The Triple R framework

Five core AI risks.
One structured view.

Every use case is assessed in context. The question is not whether AI carries risk — it is whether that risk is understood, controlled and proportionate to the task.

01

Accuracy & Reliability

Can the AI be relied upon sufficiently for the task it is being used for?

02

Confidentiality & Privacy

Is business, client and personal information being handled appropriately when AI is involved?

03

Human Reliance & Professional Judgement

Is AI supporting employees’ judgement — or beginning to replace it?

04

Fairness & Discrimination

Could AI contribute to systematically unfair outcomes?

05

Authority & Automation

Has AI been given more decision-making or action authority than is appropriate for the consequences of getting something wrong?

How an AI Risk Review works

From hidden use
to practical control.

A clear, evidence-based process that turns scattered AI use into an organised view of risks, controls and next actions.

01

Discover

Identify AI tools, use cases, users, data, connected systems and ownership.

02

Assess

Assess each use case against Triple R’s five core AI risk areas.

03

Evaluate controls

Understand what mitigation and governance already exists and how effective it is.

04

Prioritise

Separate risks requiring immediate attention from longer-term improvements.

05

Improve

Provide practical recommendations and define a realistic target risk position.

What you receive

A decision-ready view of your organisation’s AI use.

  • Structured AI inventory
  • AI risk register
  • Prioritised findings
  • Recommended actions
Services

Governance that works
in the real world.

Start with visibility. Then build the policies, ownership and habits needed to keep AI use under control as it grows.

01

AI Risk Review

A structured assessment of how AI is being used across the organisation and the risks created by that use.

02

AI Governance Implementation

Establish AI inventories, ownership, approval processes, review cycles and governance controls.

03

AI Policy Development & Review

Practical policies defining acceptable AI use, data handling, human oversight and responsibilities.

04

AI Awareness & Staff Training

Help employees understand limitations, hallucinations, responsible data handling and appropriate human oversight.

05

AI Supplier & Tool Review

Review available supplier information and the governance considerations associated with third-party AI tools.

Our scope: Triple R is an AI risk and governance consultancy, not a cybersecurity penetration-testing firm or law firm. Where specialist cybersecurity, legal or technical model testing is required, appropriate specialist input may be recommended.

Who it is for

Built for businesses moving faster than their AI governance.

Triple R primarily supports UK SMEs already adopting AI without formal controls around its use. The approach applies across sectors wherever AI touches information, judgement or business decisions.

RecruitmentMarketing & creativeAccountancyEstate agenciesProfessional servicesInsurance brokersSoftware & technology
Three working principles
01

Visibility before policy

Controls should reflect how AI is actually used — not how management assumes it is used.

02

Proportionate by design

A low-impact drafting aid should not be governed like an automated business decision.

03

Judgement stays accountable

Where consequences matter, ownership and appropriate human review must remain clear.

Illustrative exampleNot a real client case

Personal AI accounts.
Client documents.
Limited visibility.

Scenario

Employees use personal ChatGPT accounts to summarise client documents.

Finding

The organisation has limited visibility over what information is being entered and no centrally defined rules for appropriate AI data handling.

Recommended action

Establish approved AI tools, company-managed accounts where appropriate, clear data-handling rules and staff training.

Why Triple R

Control AI.
Don’t fear it.

Triple R

Triple R was created to help businesses gain practical control over rapidly expanding AI adoption.

Our structured approach maps real AI use, assesses meaningful risk, evaluates existing controls and clearly prioritises what needs to happen next. The aim is responsible adoption — enabling businesses to use AI with confidence, not guesswork.

Practical, not theoreticalEvidence-based assessmentProportionate controlsClear prioritisationIndependent visibilityResponsible adoption
Start with visibility

Do you actually know how your organisation is using AI?

Find out where AI is being used, where the meaningful risks are, and what you can realistically do about them.