Artificial intelligence is now embedded in critical business processes, exposing organizations to new governance, ethical, regulatory, and operational risks. In the 2024–2025 environment, regulators, customers, and boards increasingly expect demonstrable control over how AI systems are designed, deployed, and monitored. ISO/IEC 42001 addresses this expectation by defining requirements for an Artificial Intelligence Management System (AIMS).
This Lead Auditor training focuses on auditing those systems rather than designing AI technologies. Participants work as auditors throughout the full audit lifecycle: defining scope, understanding organizational context, assessing AI-related risks, evaluating controls, collecting objective evidence, and reporting audit conclusions.
Abilene Academy’s approach reflects the realities of AI audits observed in practice. Participants encounter common challenges such as unclear accountability between technical and business teams, weak documentation of AI decision logic, fragmented risk ownership, and limited performance evidence. A structured case study supports hands-on exercises simulating a complete ISO/IEC 42001 audit, including opening and closing meetings.
By the end of the course, participants are able to conduct ISO/IEC 42001 audits aligned with ISO 19011 and ISO/IEC 17021-1, communicate effectively with AI developers, legal teams, and executives, and deliver audit results that support certification and governance decisions.
