Evidence-based artificial intelligence governance
Human oversight, algorithmic traceability, and bias controls. ISO 42001 implementation and audit.
What is assessed in AI governance
Full lifecycle of the AI system: design, data, training, deployment, and monitoring.
Human oversight
Roles, responsibilities, and intervention mechanisms in automated decisions.
Algorithmic traceability
Version tracking, datasets, performance metrics, and explainability.
Bias control
Fairness assessment, non-discrimination, and data representativeness.
What you receive
AI systems inventory
Comprehensive mapping of applications, risks, and controls.
Maturity assessment
Gap analysis against ISO 42001 with prioritization.
Governance plan
Policies, roles, and oversight procedures.
Certification roadmap
Realistic roadmap with milestones and owners.
How it is executed
Inventory and classification
Mapping AI systems by criticality and risk.
Controls assessment
Gap analysis against ISO 42001 requirements.
Governance design
Oversight structure, policies, and metrics.
Let’s discuss AI governance
The first step is understanding the current state of your artificial intelligence systems.
ISO 42001 certification is the sole responsibility of accredited certification bodies. This is an independent consulting service.