AI RISK ASSESSMENT
Turn AI risk from an opinion into a repeatable process.
Assess each AI system against consistent risk dimensions, document the evidence behind the judgement and connect mitigations directly to governance controls.
A structured view of AI risk.
Assess safety, privacy, security, fairness, transparency, human oversight, operational resilience and third-party dependency in the context of the actual use case.Make decisions traceable.
Record inherent risk, mitigating controls, residual risk, owners, actions, approvals and review dates. When a reviewer asks why a system was rated the way it was, the answer is in the record.Map assessment to governance.
Findings flow into control actions and evidence requirements, so risk assessment is part of the operating model rather than a document produced once and forgotten.One method across the portfolio.
Standardised criteria make it easier to compare systems, prioritise remediation and identify where risk exceeds organisational tolerance.