Structured diagnostics and control design for organisations deploying artificial intelligence.
Structured diagnostics and control design for organisations deploying artificial intelligence.
A structured register of all AI systems in operation, including purpose, deployment context, data use, and risk exposure. Each system is assessed against EU AI Act risk categories, NIST guidelines and relevant regulatory triggers.
Clear mapping of organisational AI activity to the EU AI Act, GDPR, and recognised governance standards. Identification of high-risk classifications, transparency obligations, and potential prohibited practice exposure.
Evaluation across five governance layers:
Data integrity, scope control, human oversight, infrastructure security, and lifecycle monitoring.
Each layer is scored to provide a defensible maturity baseline.
Identification of missing or underdeveloped controls, including documentation gaps, oversight weaknesses, escalation triggers, and logging deficiencies.
A prioritised action plan assigning ownership, timelines, and governance improvements required to strengthen regulatory posture and operational control.