Artificial intelligence has moved from pilot to practice inside the audit function. Generative AI, machine learning, and agentic systems now shape how engagements are scoped, how evidence is tested, and how findings reach the audit committee.

The IIA’s AI Auditing Framework has set the expectation. The question is no longer whether internal audit adopts AI, but whether it does so responsibly. For most functions, the gap is practical. Auditors know AI matters but lack a tested method for applying it across the engagement lifecycle without compromising independence, confidentiality, or professional skepticism.

That gap carries real exposure, both in audit quality and in the function’s credibility with the board. CAIDIA closes that gap. Across three days, it builds AI through the full lifecycle, from risk assessment and fullpopulation testing to reporting and AI governance assurance. This is a practitioner certificate for auditors ready to lead in the AI era.

Key Practical Learning Outcomes
By the end of this certificate, you will be able to:

* Apply AI to map the audit universe, understand business processes, and build a risk and control matrix that prioritises procedures by exposure
* Deploy GenAI to generate audit programs, work programs, and data request lists aligned to engagement scope and objectives
* Detect anomalies and exceptions through AI-enabled full-population testing across complete datasets rather than samples
* Construct working papers, test documentation, and quality review evidence using AI without compromising evidential standards
* Draft audit findings, executive summaries, and audit committee briefings using AI-assisted reporting and continuous dashboards
* Audit AI governance, models, and the full AI model lifecycle against the IIA AI Auditing Framework
* Evaluate responsible AI controls for bias, privacy, transparency, explainability, and human oversight