Why it 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). We assess across governance, technical architecture, data management, 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
Our approach
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
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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.
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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.
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Technical, data and privacy
We assess model architecture, data inputs, processing, and controls, including data quality, provenance, and GDPR / UK GDPR alignment.
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Ethical, bias and transparency
We evaluate bias, fairness, transparency, and explainability, and flag where added safeguards may be needed.
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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.
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Evidence-based risk identification
We document risks, control gaps, and potential compliance issues, supported by documentation review, stakeholder engagement, and system analysis.
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Findings and recommendations report
You get a written report with an executive summary, scope, methodology, detailed findings, and prioritised recommendations.
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Prioritised remediation guidance
We prioritise recommendations by risk severity, business impact, and regulatory weight, so you know what to tackle first.
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Review and advisory session
We present the findings, explain the recommendations, and address any questions so you're clear on the next steps
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 specialists about scoping an AI Risk Assessment for your organisation.
Or call us on 0330 390 0507
