AI-Enabled Internal Audit Certificate Program
The AI-Enabled Internal Audit Certificate Program, developed in collaboration between The Institute of Internal Auditors (The IIA) and AI CERTs, is an AI audit certification that equips internal audit professionals to apply artificial intelligence across the full audit lifecycle, from risk assessment and planning through fieldwork, reporting, monitoring, follow-up, and quality review. This program is designed for internal auditors looking to use AI for internal audit work in a structured, standards-aligned way.
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Applying Artificial Intelligence Across the Audit Lifecycle and Industry Landscape
The AI audit market is expanding rapidly. Adoption is already mainstream, as 39% of internal auditors report using AI and a further 41% plan to adopt it within 12 months**. Organizations increasingly need auditors who can apply AI responsibly across the lifecycle, making AI audit training and certification a near-term priority for the profession.
Blending hands-on AI workflows and exercises, case-based learning, and governance frameworks, the program helps participants use AI to improve audit efficiency and insight while preserving professional skepticism, evidence quality, confidentiality, documentation discipline, and human accountability. Participants also learn to recognize the risks of using AI in internal audit, including hallucinated outputs, data quality gaps, and over-reliance on unverified results, and how to manage those risks within a governance framework. The program is aligned with the Global Internal Audit Standards™ and incorporates leading AI governance frameworks, including ISO/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act.
What Will You Learn?
By the end of this course, participants will be able to:
- Apply AI across risk assessment, audit planning, continuous monitoring, fieldwork, evidence analysis, reporting, and follow-up.
- Use machine learning, natural language processing, generative AI, and predictive analytics for audit-relevant tasks.
- Validate AI-generated outputs, identify errors and hallucinations, and exercise professional skepticism before relying on AI-assisted work.
- Assess data quality, maintain traceable audit evidence, and document AI-assisted work, so it remains reviewable and repeatable.
- Apply ISO/IEC 42001, NIST AI RMF, and the EU AI Act within an assurance context.
- Adapt AI-enabled audit techniques across six major industry contexts.
- Coordinate AI-enabled assurance across the Three Lines in line with Standard 9.5, Coordination and Reliance, and communicate AI-driven insights to audit committees and boards.
Key Tools and Processes Covered
- Hands-on labs and capstone projects using approved AI tools, including ChatGPT for internal auditors, and synthetic data in a safe practice environment.
- Hands-on exercises spanning AI assistants, source-grounded research, structured data analysis, compliance assessment, audit workflow prototyping, and executive reporting.
- Industry applications across financial services, healthcare, manufacturing and supply chain, technology and cybersecurity, government and public sector, and energy and utilities.
- Structured techniques for prompt engineering, output validation, peer review, professional skepticism, and evidence of traceability.
- Ethics, privacy, confidentiality, bias-mitigation, and AI-governance coverage throughout the program.
- Designed to align with the Global Internal Audit Standards and The IIA’s Internal Auditing Competency Framework™.
Tools and Hands-On Labs
|
Module |
Tool Name |
Lab Title |
|
1 |
ChatGPT |
Using LLM to Understand AI Fundamentals and Responsible AI in Internal Audit. |
|
2 |
NotebookLM - Google |
Using LLM to Build an AI-Powered Audit Execution Reference Pack. |
|
3 |
Julius AI |
Verifying AI-Generated Audit Conclusions Using AI Agent. |
|
4 |
Baltum AI |
AI-Assisted Technology Compliance Assessment Using AI Audit Tool. |
|
4 |
QAIZEN Shadow AI |
AI Governance and Shadow AI Readiness Assessment Using AI Tool. |
|
5 |
Replit AI |
Build a Continuous Audit Exception-Review App Using Replit. |
|
5 |
Audit Now AI |
Generate and Validate an AI-Assisted Audit Checklist Using Audit Now. |
|
6 |
Template.net |
Using AI Tool to Build an AI Governance Audit Checklist and Executive Audit Report. |
Certificate Prerequisites
Who Should Take This Course?
- Internal auditors, staff auditors, senior auditors, and audit managers seeking hands-on AI workflows for planning, fieldwork, evidence validation, documentation, and reporting.
- Internal audit directors and chief audit executives who are responsible for AI-enabled methodology, governance, capability building, and board reporting.
- QAIP and audit methodology leaders who review AI-assisted workpapers, documentation quality, and conformance.
- Audit committee members and oversight leaders who need sufficient AI literacy to challenge governance, understand AI-related risk, and interpret assurance results.
- Risk, compliance, governance, and assurance professionals who work with internal auditors and need a shared language for AI-enabled assurance.
Related IIA Resources
- AI Knowledge Center: explore The IIA’s full library of AI guidance and research.
- Leveraging Artificial Intelligence in Internal Audit (course): a shorter, single-course option for teams building foundational AI skills.
- AI-Enabled Coordinated Assurance Certificate Program: for auditors coordinating AI-enabled assurance across the Three Lines.
- AI Coordinated Assurance (course): enhancing collaboration across risk and audit functions.
**Wolters Kluwer, May 07, 2025: https://www.wolterskluwer.com/en/news/new-survey-wolters-kluwer-internal-auditors-double-ai-adoption-2026