AI-Enabled Internal Audit Certificate Program
Applying Artificial Intelligence Across the Audit Lifecycle and Industry Landscape
- Trainer uit de praktijk met actuele vakkennis
- Klassikaal op locatie of live virtueel te volgen
- Betalen op factuur, annuleren volgens heldere voorwaarden
- Ook incompany voor je hele team
500+ IT-trainingen voor professionals en organisaties
Voor wie
Voor wie is deze training
Internal Auditors, Staff Auditors, Senior Auditors, and Audit Managers: Professionals seeking practical AI workflows for planning, fieldwork, evidence validation, documentation, and reporting.
Internal Audit Directors and Chief Audit Executives: Leaders responsible for AI-enabled methodology, governance, capability building, and board reporting.
QAIP and Audit Methodology Leaders: Professionals who review AI-assisted workpapers, documentation quality, and conformance.
Audit Committee Members and Oversight Leaders: Leaders who need sufficient AI literacy to challenge governance, understand AI-related risk, and interpret assurance results.
Risk, Compliance, Governance, and Assurance Professionals: Professionals who work with internal audit and need a shared language for AI-enabled assurance.
De training
Dit leer je tijdens de training
Praktijkgericht, met een trainer die zelf in het veld werkt. Geen theorie om de theorie.
Na deze training
Wat deze training je oplevert
- Applies AI Across the Full Audit LifecycleBuild practical capability to use AI across risk assessment, audit planning, continuous monitoring, fieldwork, evidence analysis, reporting, follow-up, and quality review.
- Improves Audit Efficiency Without Compromising QualityUse practical AI workflows to improve audit efficiency and insight while preserving evidence quality, confidentiality, documentation discipline, and human accountability.
- Strengthens Validation and Professional SkepticismLearn to validate AI-generated outputs, identify errors and hallucinations, assess data quality, and maintain traceable, reviewable audit evidence before relying on AI-assisted work.
- Embeds Responsible AI and GovernanceApply ISO/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act in an assurance context, alongside ethics, privacy, confidentiality, bias mitigation, and AI governance.
- Builds Future-Ready Audit LeadershipDevelop the capability to 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.
Inhoud
Het programma
- 1.1 What AI Is (and Is Not) for Internal Audit
- 1.2 The AI Technology Landscape for Auditors
- 1.3 How AI Is Reshaping the Profession and the Global Internal Audit Standards
- 1.4 Ethics, Bias, and Auditor Responsibilities with AI
- 1.5 The AI Maturity Spectrum: From Data Analytics to Autonomous Agents
- 1.6 Building Your Personal AI Toolkit for the Internal Audit Function
- 2.1 AI for Risk Assessment and Audit Planning
- 2.2 Continuous Auditing and Monitoring with AI
- 2.3 AI-Assisted Workpaper Documentation and Evidence Analysis
- 2.4 NLP for Contract, Policy, and Document Review
- 2.5 Prompting for Audit Tasks (Risk Identification and Control Testing)
- 2.6 Refining AI Outputs for Accuracy and Relevance
- 2.7 Identifying and Correcting AI Errors and Hallucinations
- 2.8 Documenting AI-Assisted Work to Quality Standards
- 3.1 Evaluating AI Output: When to Trust, When to Probe
- 3.2 Data-Quality Fundamentals for AI-Augmented Audit
- 3.3 Documenting AI-Assisted Work for Quality Assurance
- 3.4 Managing Over-Reliance and Preserving Human Judgment
- 3.5 The Regulatory and Standards Landscape Governing AI in Assurance
- 4.1 Financial Services: Credit Risk, Fraud Detection, and Compliance
- 4.2 Healthcare: Operations, HIPAA Compliance, and Revenue-Cycle Integrity
- 4.3 Manufacturing and Supply Chain: Vendor Audits and ESG Assurance
- 4.4 Technology and Cybersecurity: IT Controls, AI Systems, and Third-Party Risk
- 4.5 Government and Public Sector: Compliance, Grants, and Accountability
- 4.6 Energy and Utilities: Resilience and Environmental Compliance
- 4.7 Translating AI Audit Methods Across Sectors
- 5.1 Use-Case Scenarios: Fraud, IT Controls, Vendor Compliance, and ESG
- 5.2 Prompt Engineering for Audit Tasks
- 5.3 Peer Review of AI-Assisted Workpapers
- 5.4 Capstone Project 1: Build a Continuous Audit Exception-Review App Using Replit
- 5.5 Capstone Project 2: Generate and Validate an AI-Assisted Audit Checklist Using Audit Now
- 6.1 AI Adoption Strategy, Tools, and Governance Frameworks
- 6.2 Building a Team AI Strategy: Upskilling, Tools, Governance
- 6.3 Managing Change, Resistance, and Stakeholder Expectations
- 6.4 Coordinating AI-Enabled Assurance Across the Three Lines in line with Standard 9.5, Coordination and Reliance
- 6.5 Communicating AI-Driven Insights to Audit Committees and Boards
Praktisch
Goed om te weten
Lesmethode
Kenmerken
Online proctored exam included, with one free retake.
Exam format: 50 multiple-choice / multiple-response questions; 90 minutes; 70% passing score (35/50); online AI-proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Voorkennis
- A general understanding of internal audit concepts and the audit lifecycle is helpful. No prior AI experience or coding background is required.
Inschrijven
Alles op een rij
AI-Enabled Internal Audit Certificate Program
- Betalen op factuur mogelijk
- Verschuiven of annuleren volgens onze voorwaarden
- Ook incompany voor je hele team via maatwerk
Zekerheid
Inschrijven zonder verrassingen
Heldere voorwaarden
Verschuiven of annuleren doe je volgens onze algemene voorwaarden. Geen kleine lettertjes achteraf.
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