Exam Preparation
AECAAI Enabled Coordinated Assurance
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English
Intermediate
FACE 2 FACE
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Course Overview
This intensive five‑day programme gives participants practical insight into how AI transforms coordinated assurance across audit, risk, governance, compliance, and control. It shows how organizations can leverage AI to improve collaboration, transparency, assurance efficiency, and risk management.
Participants explore machine learning, NLP, automation, predictive analytics, and continuous monitorin
Key Takeaways
1
Explain coordinated assurance models and the role of AI across assurance functions
2
Analyze assurance gaps, overlaps, and reliance decisions using AI-enabled approaches
3
Apply AI concepts to assurance mapping, monitoring, and governance frameworks
4
Evaluate AI governance, ethics, transparency, and model-integrity risks
5
Design AI-enabled assurance strategies to improve cross-functional collaboration
AI CERTs® and The Institute of Internal Auditors (IIA)
This program is jointly offered by AI CERTs® and The Institute of Internal Auditors (IIA) - two globally recognized leaders in AI certification and internal audit standards. AI CERTs® is a global certification body dedicated to closing the AI skills gap through role-based, accessible credential programs in artificial intelligence and blockchain, serving individuals, enterprises, and academic institutions across every continent. The IIA, established in 1941, is the world's leading professional association for internal auditors, setting global standards for governance, risk management, and internal control through internationally recognized certifications and frameworks. Together, they have developed the AI-Enabled Coordinated Assurance Certificate Program to equip assurance professionals with the tools and knowledge to integrate AI across audit, risk, compliance, and governance functions.
Course Outline
DAY 1
Coordinated Assurance & AI Foundations
- Introduction to coordinated assurance: principles, benefits, and the Three Lines Model.
- Role of the Chief Audit Executive (CAE) and breaking silos across assurance functions.
- AI foundations: machine learning, NLP, automation, predictive analytics, and ethics.
- Impact of AI: real‑time risk detection, resource optimization, collaboration, and transparency.
- Workshop: Compare traditional vs. coordinated models, identify inefficiencies, and map AI opportunities.
DAY 2
AI for Collaboration & Assurance Mapping
- AI‑enabled collaboration: communication, workflow integration, continuous monitoring, and reporting visibility.
- Assurance mapping: overlaps, gaps, reliance decisions, and transparency considerations.
- AI technologies: NLP for reporting, RPA for compliance, ML for risk identification, analytics for visibility.
- Workshop: Simulate assurance mapping, analyze reliance coverage, and practice continuous‑monitoring scenarios.
DAY 3
Governance, Risk & AI Compliance
- Governance frameworks: ISO/IEC 42001, NIST AI RMF, EU AI Act.
- AI risk management: bias, transparency, explainability, ethics, and accountability structures.
- Continuous risk monitoring: predictive analytics for assurance planning and real‑time compliance.
- Workshop: Governance assessment, ethics case study, and predictive‑risk monitoring simulatio
DAY 4
Enforcement, Automation & Model Integrity
- Model integrity: protecting AI systems, monitoring, tampering risks, and separation of duties.
- Automation: compliance checks, policy enforcement, reporting, escalation, and hallucination monitoring.
- AI security and assurance tools: automation toolkits, monitoring technologies, and governance integration.
- Workshop: Design automation workflows, analyze governance scenarios, and simulate model‑integrity controls.
DAY 5
Implementation, Case Studies & Future Readiness
- Implementing AI in assurance: strategy building, cross‑functional planning, stakeholder engagement, and change management.
- Case studies: real AI implementations, efficiency gains, governance improvements, lessons learned, KPIs/KRIs.
- Future trends: predictive assurance, autonomous monitoring, AI‑ready culture, and regulatory expectations.
- Final Activity: Transformation workshop, group presentations, and coordinated assurance improvement roadmaps
Who Should Attend?
This highly practical and interactive course has been specifically designed for
Chief Audit Executive
Head of Internal Audit
Internal Audit Manager
Chief Risk Officer
Head of Compliance
Head of Governance
Head of Internal Controls