AI Policy & Objectives (Clause 5)
Top management sets an AI policy covering responsible development, human oversight, and AI-specific risk appetite.
pTrackly builds your AI Management System, inventories your models and training data, and maps every control to the EU AI Act.
The first AI management system standard
Published December 2023. Buyers in financial services, healthcare, and government now send AI governance questionnaires.
EU AI Act needs documented governance
High-risk systems must show human oversight, transparency, and risk management. Stand-alone high-risk obligations apply from December 2027.
AI risk is different from IT risk
Bias, hallucination, training data exposure, and model drift fall outside standard IT security frameworks.
Connect cloud, code repos, and identity systems; onboard your team.
Pre-built policies, automated evidence mapped to ISO 42001 controls, gap remediation.
Share evidence with your auditor in real time; close findings as they arise.
Final audit report and certification; continuous monitoring begins.
Top management sets an AI policy covering responsible development, human oversight, and AI-specific risk appetite.
Identify and assess AI-specific risks using ISO 42001's purpose-built risk categories.
Data provenance, training-data consent basis, quality controls, and bias testing methodology for each model.
Automated decision disclosures, explainability documentation for high-risk outputs, and human review procedures.
Performance monitoring, bias drift detection, and incident logging prove production models behave as documented.
Every model classified as unacceptable, high, limited, or minimal risk, with its human oversight controls.
Controls map to Articles 9 (risk management), 13 (transparency), and 14 (human oversight).
Most AI vendors can't show an AI governance certification yet. A trust center with bias results sets you apart.