Preparing for AI Audits and Regulatory Readiness
As regulatory scrutiny intensifies globally with the EU AI Act and standards such as ISO/IEC 42001, organizations face an urgent question: is your AI governance documentation defensible under independent audit?
What Auditors Look For
Auditors evaluate evidence chains, not intentions. When assessing an Artificial Intelligence Management System (AIMS), auditors check whether documented policies correspond to tangible operational records.
1. The AI System Inventory
A comprehensive register documenting every model, API endpoint, dataset source, intended use case, and assigned risk tier.
2. AI Impact Assessments (AIIA)
Structured evaluations identifying fundamental rights impacts, privacy considerations, bias testing, and mitigating controls.
3. Audit Thread Maps
Traceable mapping linking organizational policy to specific standard clauses (e.g. ISO 42001 Annex A controls) and verification logs.
How Scale Edge AI Prepares Your Team
We provide 23 pre-structured, tailored governance artifacts and conduct simulated pre-assessment audits to identify gaps before certification bodies or regulators review your systems.