AI Risk Assessment & Audit
Independent AI risk assessments and audits that identify regulatory, operational, and reputational risks and provide a clear remediation roadmap.
Schedule an assessmentAI risk assessments give leaders an independent view of where their AI systems create exposure — and what to do about it. We evaluate systems against NIST AI RMF, ISO/IEC 42001, the EU AI Act, and your own policies, then deliver a prioritized remediation roadmap.
Risk dimensions reviewed
Regulatory & legal risk
Assess alignment with the EU AI Act, sectoral rules, privacy law, consumer-protection requirements, and emerging state AI legislation.
Technical & performance risk
Review model accuracy, robustness, drift, data quality, explainability, security, and incident response readiness.
Ethical & reputational risk
Identify fairness concerns, harmful outputs, unintended use cases, transparency gaps, and stakeholder communication risks.
Operational & vendor risk
Evaluate reliance on third-party models, API providers, data processors, and internal processes for change management and oversight.
Assessment services
AI system risk assessment
A focused review of one or more AI systems, covering risk identification, scoring, root-cause analysis, and remediation recommendations.
AI governance audit
Independent verification that your governance framework, policies, and controls operate as intended, with evidence ready for board or regulator review.
Pre-certification readiness review
Prepare for ISO/IEC 42001 or other assurance engagements by closing gaps before the external auditor arrives.
Red-team & scenario testing
Pressure-test systems and processes against realistic misuse scenarios, edge cases, and failure modes.
Deliverables you can act on
Each assessment produces a clear report with risk ratings, evidence, actionable recommendations, and a remediation roadmap tied to business priorities and regulatory deadlines.
Frequently asked questions
What does an AI risk assessment cover?
Assessments cover technical, legal, ethical, and operational risks. This includes model performance, data quality, bias, transparency, security, vendor reliance, and regulatory exposure.
How is an audit different from an assessment?
An assessment identifies risks and recommends remediation. An audit adds independent verification against a defined standard, policy, or framework, often producing formal evidence for boards or regulators.
How long does an assessment take?
Most focused assessments take two to four weeks. Larger audits covering multiple systems or business units can take six to twelve weeks depending on scope.
Schedule an AI risk assessment
Book a discovery call to scope an assessment or audit for your AI systems.