Multi-System Assessment Coordination

Organisations with multiple high-risk AI systems coordinate their assessments to avoid duplication and maintain consistency. Three mechanisms support this coordination.

A shared evidence strategy: evidence artefacts applying to multiple systems (QMS documentation, organisational policies, infrastructure security configurations, training records) are assessed once by the Conformity Assessment Coordinator and referenced by each system’s assessment. The evidence register for each system distinguishes between system-specific and shared evidence with clear version references. A staggered assessment calendar: a quarterly rolling schedule distributes the assessor workload, ensuring continuous compliance verification and avoiding an annual compliance sprint. Cross-system findings analysis: the AI Governance Lead reviews the aggregate Non-Conformity Register across all systems quarterly, identifying patterns suggesting organisational gaps rather than system-specific problems.

Recurring non-conformities across systems (persistent training deficiencies, common documentation omissions, evidence currency issues) signal systemic weaknesses in the QMS that require organisational remediation, not system-by-system fixes.

Key outputs

• Shared evidence strategy with clear version references
• Staggered quarterly assessment calendar
• Cross-system non-conformity pattern analysis
• Organisational gap identification and remediation