This lesson develops practical capability in Conclusions, Reporting, Corrective Action, Follow-Up, and Assurance within ISO/IEC 42001 Lead Auditor Training. Activities reflect an organization operating predictive and generative AI with data suppliers, model providers, and affected stakeholders, so requirements, decisions, evidence, findings, and improvement actions remain connected.
The lesson supports the wider objective to audit ISO/IEC 42001 artificial intelligence management systems.
The instructor demonstrates the conclusions, reporting, corrective action, follow-up, and assurance workflow, identifies applicable inputs and responsibilities, records checkpoints in AIMS audit and follow-up report, and contrasts the accepted state with a condition where post-audit documents close a finding.
Complete a controlled implementation, audit, analysis, or foundation exercise for Conclusions, Reporting, Corrective Action, Follow-Up, and Assurance. Establish scope and criteria, collect or create evidence, examine “post-audit documents close a finding,” reach a supported conclusion, and preserve the result in AIMS audit and follow-up report.
Separate missing evidence from ineffective practice, and distinguish a documentation issue from a control, process, governance, or competence failure. Use AIMS audit and follow-up report to trace the earliest divergence. Treat “post-audit documents close a finding” as a hypothesis until the response is validated against the relevant requirement and intended outcome.
Learners can apply Conclusions, Reporting, Corrective Action, Follow-Up, and Assurance, explain the reasoning, and defend the result through AIMS audit and follow-up report.