AI Risk Assessment Services
Identify, assess and reduce AI risks with Claranet's AI Risk Assessment Services. Evaluate AI governance, security, compliance and AI systems against ISO/IEC 42001, the EU AI Act and GDPR.
Why AI risk assessment matters?
Governance gaps
AI often moves faster than the controls around it. Policies, oversight, and clear accountability tend to lag behind deployment
Data and privacy exposure
AI systems consume and generate data at scale. Provenance, quality, and GDPR alignment are easy to lose sight of.
Bias and transparency
Models can produce unfair, opaque, or unexplainable outcomes that affect your customers, users, and wider stakeholders.
Regulatory pressure
The EU AI Act, GDPR, and emerging standards keep raising the bar. Knowing where you stand is the first step to staying aligned.
Service Overview
An independent view of your AI risk
Claranet's AI Risk Assessment gives you a structured, independent review of the risks tied to how you use, develop, or deploy artificial intelligence (AI), supporting a responsible AI approach across your organisation. We assess across governance, technical architecture, data management, GDPR / UK GDPR alignment, vulnerabilities, legal and regulatory considerations, and ethical use, then show you where your exposure sits and how to reduce it.
The service is advisory. It highlights gaps in your existing controls, gives practical recommendations, and helps you fold AI risk into the risk management frameworks and processes you already run.
How the engagement runs
Scoping: We agree the scope with you, covering in-scope AI systems, models, data sources, jurisdictions, and organisational context, through a structured questionnaire or collaborative workshops.
Assessment: We review governance, technical and data controls, ethics and transparency, and legal and regulatory alignment against recognised frameworks.
Risk identification: We analyse the evidence to document risks, control gaps, and potential compliance issues.
Report: You receive a written report with an executive summary, scope, methodology, detailed findings, and prioritised recommendations.
Review session: We walk you through the findings, explain the recommendations, and answer your questions.
Key Benefits
- Governance, technical, data, legal, and ethical risk in one review
- Aligned to your existing risk management framework where possible
- Delivered as a time-bound consultancy engagement
- Scoped over a defined number of days to match your AI estate
- Evidence-based findings, not guesswork
- A detailed written report with prioritised recommendations
EU AI Act and ISO/IEC 42001: what they mean for your organisation?
The EU AI Act introduces a risk-based approach to regulating AI, classifying AI systems by the level of risk they pose and applying different obligations depending on how an organisation develops, deploys, or uses AI. It's being introduced in phases, so requirements are still evolving for many organisations. An AI risk assessment helps you understand where your AI systems and use cases sit against that risk-based classification, and what governance, documentation, and controls you may need to address.
ISO/IEC 42001 is the international standard for AI management systems - it sets out how organisations should govern, monitor, and continually improve their use of AI. Our AI Risk Assessment measures your current governance and controls against ISO/IEC 42001's requirements, giving you a practical view of where your gaps sit. Many organisations pursuing ISO/IEC 42001 also align it with their existing information security management system under ISO 27001.
We help you understand and address these obligations; we don't provide legal advice or guarantee regulatory or certification outcomes
Our methodology
Independent
An outside-in review, free of the assumptions built into day-to-day delivery.
Evidence-based
Findings drawn from documentation, stakeholder engagement, and system analysis.
Framework-aligned
Measured against the EU AI Act, ISO/IEC 42001, ISO/IEC 42005, NIST AI RMF, and the OECD AI Principles.
Advisory, not audit
Practical, prioritised guidance built to fit the risk processes you already run.
What we assess
Scoping
We define and agree the scope with you: in-scope AI systems, models, data sources, processes, and supporting controls, through a questionnaire or workshops.
Governance and risk management
We review your policies, oversight mechanisms, and risk practices, and align AI risk with your existing registers and reporting where possible.
Technical, data and privacy
We assess model architecture, data inputs, processing, and controls, including data quality, provenance, and GDPR / UK GDPR alignment.
Ethical, bias and transparency
We evaluate bias, fairness, transparency, and explainability, and flag where added safeguards may be needed.
Legal and regulatory alignment
We assess your AI against GDPR / UK GDPR, the EU AI Act, and best-practice standards to identify non-alignment and regulatory exposure.
Evidence-based risk identification
We document risks, control gaps, and potential compliance issues, supported by documentation review, stakeholder engagement, and system analysis.
Findings and recommendations report
You get a written report with an executive summary, scope, methodology, detailed findings, and prioritised recommendations.
Prioritised remediation guidance
We prioritise recommendations by risk severity, business impact, and regulatory weight, so you know what to tackle first.
Review and advisory session
We present the findings, explain the recommendations, and address any questions so you're clear on the next steps
Who needs an AI risk assessment?
You're likely to benefit from an independent AI risk assessment if your organisation:
- Is deploying AI tools or models in customer-facing, regulated, or business-critical processes
- Is being asked by a board, regulator, auditor, insurer, or customer to demonstrate AI governance and risk oversight
- Has adopted AI tools (including embedded or third-party AI features) faster than internal policy and oversight have kept pace
- Needs to understand its position against the EU AI Act, ISO/IEC 42001, or existing risk and compliance frameworks
- Is building or scaling an internal AI governance function and wants an independent baseline to work from
Optional add-ons
Extended risk and compliance services
Full enterprise risk assessments, GDPR gap analysis, Data Protection Impact Assessments (DPIAs), or business impact analysis (BIA) to widen the lens beyond AI-specific risk.
Tabletop exercises (TTX)
Scenario-based workshops that test how you detect, respond to, and recover from AI-related risk scenarios, from model failure to misuse or a regulatory incident.
Ongoing advisory services
Continuous advisory, governance, or virtual CISO (vCISO) support to monitor and manage AI risk over time.
Optional features sit on top of the standard service and are charged separately.
Ready to see where your AI risk sits?
Talk to our AI risk assessment specialists about scoping an independent review for your organisation - including EU AI Act and ISO/IEC 42001 alignment
Request an AI Risk Assessment scoping call
Or call us on 0330 390 0507
Frequently asked questions
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An AI risk assessment is a structured, independent review of the risks tied to how an organisation uses, develops, or deploys AI — covering governance, technical architecture, data management, legal and regulatory alignment, and ethical use.
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As AI adoption accelerates, governance, oversight and controls can lag behind deployment. Boards, regulators, auditors, and customers are increasingly asking organisations to provide assurance over their AI systems — an independent assessment gives you an evidence-based view of where your exposure sits and how to reduce it.
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The assessment reviews your AI systems and governance against the EU AI Act's risk-based approach, helping you understand where your use cases may sit and what obligations could apply, so you can prioritise action ahead of regulatory deadlines. This is advisory support, not legal advice or a compliance guarantee.
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ISO/IEC 42001 is the international standard for AI management systems. The assessment measures your current governance and controls against its requirements, giving you a practical gap analysis you can use to work towards a formal AI management system.
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Scoping, an assessment across governance, technical, data, ethical, legal and regulatory areas, evidence-based risk identification, a written report with prioritised recommendations, and a review session to walk through the findings.
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Engagements are scoped as a time-bound consultancy, over a defined number of days set to match the size and complexity of your AI estate, agreed with you during scoping.