An Intensive 5-day Training Course
Artificial Intelligence (AI) for Internal Audit & Assurance
Applying Generative & Agentic AI Across the Audit Lifecycle
INTRODUCTION
This Artificial Intelligence (AI) for Internal Audit & Assurance training course equips internal audit and assurance professionals with the knowledge and practical capabilities required to use AI effectively across the audit lifecycle while maintaining professional judgement, independence and appropriate human oversight. Generative AI, large language models and emerging agentic AI capabilities are changing how auditors analyse information, assess risks, plan engagements, perform testing, investigate anomalies and communicate assurance findings.
The training course addresses artificial intelligence for internal audit from two important internal audit perspectives: using AI to improve audit effectiveness and providing assurance over organisational AI systems. Participants will examine AI-assisted risk assessment, audit planning, fieldwork, control testing, analytics, evidence evaluation and reporting before progressing to AI governance, risk and control assurance. This AI internal audit training also explores agentic AI, continuous auditing and the governance requirements for increasingly autonomous audit workflows. Throughout the course, emphasis is placed on responsible AI use, evidence reliability, professional scepticism and retaining auditor accountability for conclusions.
This Artificial Intelligence (AI) for Internal Audit & Assurance training course will highlight:
- Applying Generative AI across risk assessment, planning, fieldwork and reporting
- Developing effective prompting approaches for internal audit activities
- Using AI for control testing, audit analytics and anomaly identification
- Auditing organisational AI governance, risks and lifecycle controls
- Understanding Agentic AI and governing increasingly autonomous audit workflows
- Developing continuous assurance capabilities and an AI-enabled internal audit roadmap
TRAINING OBJECTIVES
By the end of this AI for internal audit training course, participants will be able to:
- Evaluate appropriate applications of Generative and Agentic AI across the internal audit lifecycle.
- Apply AI to strengthen risk assessment, audit planning, fieldwork, testing and reporting.
- Assess the reliability of AI-generated outputs and evidence using professional judgement and scepticism.
- Evaluate organisational AI governance, risks and controls throughout the AI lifecycle.
- Establish appropriate governance and human oversight for Agentic AI and continuous assurance.
- Develop a practical roadmap for building an AI-enabled internal audit function.
WHO SHOULD ATTEND?
This training course is suitable for internal audit and assurance professionals seeking to apply AI effectively or provide assurance over organisational AI adoption, including:
- Chief Audit Executives
- Heads of Internal Audit
- Internal Audit Managers
- Senior Internal Auditors
- Internal Auditors
- IT Auditors
- Technology Auditors
- Risk and Assurance Professionals
- Internal Control Professionals
- Governance, Risk and Compliance Professionals
- Audit Analytics Professionals
- Professionals responsible for AI governance, risk and assurance
TRAINING METHODOLOGY
This training course combines expert-led presentations, facilitated discussions, audit scenarios, AI use-case analysis, prompting exercises, risk assessment applications and assurance case studies. Participants will examine practical applications of Generative and Agentic AI across internal audit lifecycle while considering governance, evidence quality, professional judgement and accountability requirements.
TRAINING SUMMARY
Organisations will benefit from:
- More effective and responsible application of AI within internal audit activities.
- Improved risk identification, audit planning and assurance coverage.
- Greater efficiency in reviewing documents, controls and large information sets.
- Stronger assurance over organisational AI governance and controls.
- Improved readiness for continuous and technology-enabled assurance.
- More disciplined governance of AI adoption within the internal audit function.
TRAINING OUTLINE
Day 1: Artificial Intelligence & the Future of Internal Audit
- Understanding AI in the Audit Environment
- Artificial Intelligence, Machine Learning and Generative AI
- Large Language Models and Agentic AI
- Identifying where AI adds value to internal audit
- AI Across the Internal Audit Lifecycle
- AI applications in risk assessment, planning and fieldwork
- AI-supported testing, reporting and quality review
- Opportunities and limitations of AI-enabled auditing
- Responsible Use of AI by Internal Audit
- Confidentiality, hallucination, bias and explainability
- Human oversight, independence and professional scepticism
Day 2: AI-Powered Risk Assessment & Audit Planning
- AI-Assisted Risk Assessment
- Analysing emerging risks and large document sets
- Identifying risk themes and patterns
- Smarter Audit Planning
- Analysing the audit universe and prioritising areas
- Generating risk scenarios and challenging AI recommendations
- Prompt Engineering for Internal Auditors
- Structuring effective audit prompts
- Iterative prompting and reusable prompt libraries
- Engagement Scoping
- Risk and control inventories and audit objectives
- Evidence request lists and draft work plans
Day 3: AI-Enabled Fieldwork, Testing & Audit Analytics
- AI for Audit Fieldwork
- Reviewing policies, procedures and contracts
- Extracting information and identifying inconsistencies
- AI-Assisted Control Testing
- Control-design and operating-effectiveness testing
- Population analysis and exception evaluation
- Audit Analytics & Anomaly Detection
- Identifying trends, outliers and unusual transactions
- Prioritising anomalies for investigation
- Evaluating AI-Generated Evidence
- Reliability, provenance and authenticity of evidence
- Cross-checking and documenting professional judgement
- Root-Cause Analysis
- Exploring causes of control failures
- Testing explanations and validating conclusions
Day 4: Auditing AI Governance, Risk & Controls
- Understanding Organisational AI Risk
- Mapping AI use cases, ownership and dependencies
- Assessing criticality and emerging AI risks
- AI Governance
- Policies, governance structures and decision rights
- AI inventories, monitoring and escalation
- AI Risk Assessment
- Data quality, bias, privacy and confidentiality
- Cybersecurity, explainability and reliability
- Auditing AI Controls
- Governance, data and model validation controls
- Deployment, change and monitoring controls
- AI Lifecycle Assurance
- Acquisition, development, testing and deployment
- Monitoring, drift and decommissioning
Day 5: Agentic AI, Continuous Assurance & the Future Audit Function
- Agentic AI for Internal Audit
- AI assistants versus AI agents
- Multi-agent workflows and human decision authority
- Governing Agentic Audit Workflows
- Agent authority, boundaries and human-in-the-loop controls
- Audit trails, escalation and accountability
- Continuous Auditing & Continuous Assurance
- Moving from periodic towards continuous assurance
- Continuous risk indicators and exception-driven auditing
- AI-Enabled Audit Reporting
- Structuring findings and executive communication
- Quality assurance and auditor ownership of conclusions
- Building the AI-Enabled Internal Audit Function
- Assessing AI readiness and selecting appropriate use cases
- Governance, capability building and adoption roadmap
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FAQ
EuroMaTech provides a range of ISO certification and compliance training courses, including:
- ISO 9001 – Quality Management Systems Training
- ISO 45001 – Occupational Health & Safety Management Training
- ISO 14001 – Environmental Management Systems Training
These courses help organizations adopt internationally recognized standards and improve their overall performance.
To register for a training course, you can:
- Visit the EuroMaTech website, browse the available courses, and follow the online registration process.
- Contact EuroMaTech’s support team for assistance with course selection or inquiries about corporate training solutions.
EuroMaTech stands out as a leader in training and professional development due to:
- 30+ years of experience delivering high-impact training courses across industries.
- Accreditations from leading institutions, ensuring top-tier course quality and recognition.
- A portfolio of thousands of training courses, serving professionals at every level.
- A focus on innovation and future-ready learning models, including blended and digital training.
- Long-term partnerships with organizations globally, ensuring sustained success through talent development.
EuroMaTech has successfully delivered thousands of training courses, with thousands of professionals from over 50 countries attending annually.
We are happy to share the profiles of our expert instructors. To learn more about their qualifications and experience, please contact us info@euromatech.com
We provide two flexible training formats to suit your preferences:
- Classroom Training: Experience in-person learning with expert instructors. Engage in interactive discussions, hands-on activities, and benefit from face-to-face networking.
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- In-House Training: We can bring our training directly to your organization, allowing for tailored sessions that address your specific needs and objectives.
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