Accuracy & Reliability
Can the AI be relied upon sufficiently for the task it is being used for?
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.
“You can’t govern what you can’t see.”
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…
Which AI tools employees are using?
What company, client or personal information is being entered?
What systems AI has access to?
How much employees rely on AI output?
Whether AI can act without human intervention?
Whether suitable governance and controls exist?
The first step isn’t banning AI. It’s understanding how you’re already using it.
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.
Can the AI be relied upon sufficiently for the task it is being used for?
Is business, client and personal information being handled appropriately when AI is involved?
Is AI supporting employees’ judgement — or beginning to replace it?
Could AI contribute to systematically unfair outcomes?
Has AI been given more decision-making or action authority than is appropriate for the consequences of getting something wrong?
A clear, evidence-based process that turns scattered AI use into an organised view of risks, controls and next actions.
Identify AI tools, use cases, users, data, connected systems and ownership.
Assess each use case against Triple R’s five core AI risk areas.
Understand what mitigation and governance already exists and how effective it is.
Separate risks requiring immediate attention from longer-term improvements.
Provide practical recommendations and define a realistic target risk position.
Start with visibility. Then build the policies, ownership and habits needed to keep AI use under control as it grows.
A structured assessment of how AI is being used across the organisation and the risks created by that use.
Establish AI inventories, ownership, approval processes, review cycles and governance controls.
Practical policies defining acceptable AI use, data handling, human oversight and responsibilities.
Help employees understand limitations, hallucinations, responsible data handling and appropriate human oversight.
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.
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.
Controls should reflect how AI is actually used — not how management assumes it is used.
A low-impact drafting aid should not be governed like an automated business decision.
Where consequences matter, ownership and appropriate human review must remain clear.
Employees use personal ChatGPT accounts to summarise client documents.
The organisation has limited visibility over what information is being entered and no centrally defined rules for appropriate AI data handling.
Establish approved AI tools, company-managed accounts where appropriate, clear data-handling rules and staff training.

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