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17th March, 2027 | 09:00 - 12:30 CET
18th March, 2027 | 09:00 - 12:30 CET
Precondition: Participation in Part 1 “Leverage MS Copilot to Innovate Your Audit Workflow”
Suggested training duration: Two half‑day sessions (total 1 day)
Training Description
After mastering the fundamentals of MS Copilot in daily audit work (Part 1), internal auditors must move to the next level: systematically designing, governing, and scaling AI-enabled audit capabilities.
This advanced IIAS training focuses on strategic and practical Copilot deployment across the entire internal audit value chain. Participants will learn how to:
· Design advanced audit use cases for Copilot
· Work with Microsoft Copilot Studio and Copilot Agents
· Build and govern a professional Copilot Prompt Library for Internal Audit
The training is interactive and workshop-driven. Participants will not only see advanced examples, but will co-create Copilot solutions, prompts, and agent concepts they can directly reuse in their own audit departments.
Learning Objectives
Participants will be able to:
• Design advanced Copilot audit use cases across planning, fieldwork,
reporting, and follow-up
• Translate audit methodology into AI-supported workflows
• Develop a structured prompt library aligned with the internal audit value chain
• Conceptually design and test Copilot Agents for Internal Audit
• Apply governance, quality, and assurance principles to Copilot-based auditing
• Build a roadmap for scaling Copilot beyond individual use cases
Audit Training Agenda
1. From Copilot Usage to Copilot Architecture in Internal Audit
• Key learnings from Part 1 and typical limitations of “ad-hoc prompting”
• Why Internal Audit needs structured AI design, not just AI usage
• Positioning Copilot within the Internal Audit Methodology and QAIP
• Link to the 2025 Global Internal Audit Standards (quality, consistency, professional judgment)
2. Advanced Audit Use Cases with MS Copilot Across the Audit Value Chain
Audit Planning & Risk Assessment
• AI-supported Continuous Audit Risk Assessment (CARA)
• Copilot-supported analysis of risk signals, KRIs, incidents, and management reports
• Generating dynamic audit scopes and risk-based audit programs
Audit Fieldwork
• Copilot-assisted control design and operating effectiveness analysis
• Intelligent interview preparation and interview summary synthesis
• Risk orientated walkthrough documentation and issue hypothesis generation
Audit Reporting
• AI-supported root cause analysis structuring
• Drafting issue narratives aligned with stakeholder level (management vs. board)
• Consistency checks across findings, ratings, and recommendations
Follow-up & Continuous Assurance
• Copilot-based issue tracking and trend analysis
Workshop:
Participants map their own audit value chain and identify high-impact Copilot use cases.
3. Working with Microsoft Copilot Studio and Copilot Agents
• What Copilot Studio is – and what it is not
• When to use standard Copilot vs. Studio vs. Agents
• Designing Copilot Agents for Internal Audit
Conceptual Lab:
Designing a prototype Copilot Agent for a selected audit scenario
(no IT skills required – focus on logic, inputs, outputs, controls)
4. Designing an MS Copilot Prompt Library for Internal Auditors
• Why professional audit prompting is different from generic prompting
• ARC Certified Copilot Prompt Pack for Internal Audit
• Copilot Audit Use Case Catalogue (Planning → Reporting)
• Prompt design principles along different audit sub-processes
• Prompt quality criteria (reliability, reproducibility, bias awareness)
5. Governance, Quality, and Ethical Guardrails for Copilot in Internal Audit
• Preventing over-reliance on AI-generated outputs
• Ensuring audit evidence quality and professional judgment
• Embedding Copilot into audit methodology and QAIP
6. Scaling Copilot in the Internal Audit Function
• Maturity model: From personal productivity to institutional capability
• Defining “AI-enabled audit standards” internally
• Building a Copilot Center of Excellence within Internal Audit
Action Planning Session:
Participants develop a Copilot scaling roadmap for their audit function.
7. Conclusion and Takeaways
• Key insights from advanced Copilot usage
• What Internal Audit should standardize, what should remain flexible
• Personal and departmental next steps
• Open discussion: risks, limits, and future opportunities
Precondition: Participation in Part 1 “Leverage MS Copilot to Innovate Your Audit Workflow”
Trainer:
Dr. Dominik Foerschler, PhD, CIA, CRMA, MD Audit Research Center | ARC Institute
awarded by Richard Chambers as Internal Audit Beacon Award Winner and Top 10 Global Thought Leader for Internal Audit.
In over 30 years of professional experience at Deutsche Bank, Canadian Imperial Bank CIBC and BMW in responsible management positions, with international assignments in Toronto, Chicago, New York, Madrid and London, Dominik is today the author of numerous expert books and articles in the field of Internal Audit, GRC and human resources development in renowned professional journals as well as the editor of a book series.
After holding various management positions and working as executive assistant to the President of the University of Frankfurt am Main, Germany and faculty member of the Management Research Center; Dominik now heads the Audit Research Center | ARC Institute as Managing Director. As Chairman of the Digital Transformation Board, he is also responsible for the development of new learning methods such as Gamified Training or the developed AI Digital Transformation Audit Stress Test as an audit methodology concept.
15th February, 2027 | 13:30 - 17:00 CET
16th February, 2027 | 13:30 - 17:00 CET
Transforming Internal Audit with AI-Powered MS Copilot: Unlocking Productivity and Precision
Discover the power of AI with MS Copilot to streamline, strengthen, and simplify internal audit processes.
Precondition: Participation in Part 1 “Effective Use of GenAi in Internal Audit”
Suggested training duration: Two half‑day sessions (total 1 day)
Training Description
- Unleash the Future of Internal Auditing with Microsoft Copilot -
Embrace the power of AI to revolutionize your internal audit practice. This hands-on training introduces participants to Microsoft Copilot, the advanced AI assistant, specifically adapted for internal auditing functions within Microsoft Office tools, such as Excel, Word, PowerPoint, and Outlook. Discover how MS Copilot can streamline and enhance daily audit tasks, from data analysis in Excel to audit report automation in Word. Participants will explore the underlying technology behind MS Copilot, understand its training process, and practice applying it across various stages of the audit cycle to improve efficiency, accuracy, and data-driven insights. Learn how to safely integrate MS Copilot into your audit workflows, optimize collaboration, and enhance decision-making while upholding ethical standards and accuracy.
Learning Objectives
· Understand Microsoft Copilot’s AI-driven capabilities and their application in internal audit.
· Identify and apply Copilot functions within Excel, Word, PowerPoint, and Outlook to automate repetitive audit tasks.
· Enhance audit planning and documentation with data-driven insights from Copilot.
· Use MS Copilot to design, streamline, and conduct audit interviews and control tests.
· Improve audit risk assessment by leveraging Copilot’s analytical capabilities.
· Design and review audit reports with Copilot to ensure clarity, accuracy, and speed.
· Foster collaboration within audit teams using AI-powered features in MS Office.
Audit Training Agenda:
1. Introduction to Digital Transformation in Auditing
- Role of AI in the evolution of internal audit
- Overview of digital audit tools and the impact of AI on audit workflows
- Practical overview of MS Copilot’s AI features
2. Exploring Microsoft Copilot
- Introduction to AI-powered tools and their place in internal auditing
- Understanding Copilot’s underlying technology, training model, and ethical considerations
3. Microsoft Copilot in Action: Office Applications for Audit
- Excel for Data Analysis: Simplifying complex data analytics, risk assessments, and sampling techniques
- Word for Documentation: Automating audit documentation, drafting summaries, and structuring audit reports
- PowerPoint for Reporting and Audit Engagement Presentations: Building AI-assisted audit presentations for effective communication
- Outlook for Collaboration: Facilitating email communication, scheduling, and reporting with AI support
4. Integrating Copilot into the Internal Audit Process
- Practical Use Cases: Mapping MS Copilot’s role across audit sub-processes
- Aligning audit procedures with AI functionalities in MS Office applications
- Ethical guidelines and best practices for responsible AI in auditing
5. Best Practices for Leveraging Copilot in Audit
- Practical applications across the audit value chain
- Enhancing risk assessments, control evaluations, and reporting processes
- Case studies: Successful Copilot integrations in audit scenarios
6. Hands-on Exercises and Live Demonstration
- Live demonstrations of MS Copilot in Excel, Word, PowerPoint, and Outlook
- Interactive exercises for real-time practice with MS Copilot
7. Conclusion and Future Outlook
- Summarizing key takeaways and practical steps for adoption
- Future of AI in internal audit and opportunities for advanced AI integration
Precondition: Participation in Part 1 “Effective Use of GenAi in Internal Audit”
Trainer:
Dr. Dominik Foerschler, PhD, CIA, CRMA, MD Audit Research Center | ARC Institute
awarded by Richard Chambers as Internal Audit Beacon Award Winner and Top 10 Global Thought Leader for Internal Audit.
In over 30 years of professional experience at Deutsche Bank, Canadian Imperial Bank CIBC and BMW in responsible management positions, with international assignments in Toronto, Chicago, New York, Madrid and London, Dominik is today the author of numerous expert books and articles in the field of Internal Audit, GRC and human resources development in renowned professional journals as well as the editor of a book series.
After holding various management positions and working as executive assistant to the President of the University of Frankfurt am Main, Germany and faculty member of the Management Research Center; Dominik now heads the Audit Research Center | ARC Institute as Managing Director. As Chairman of the Digital Transformation Board, he is also responsible for the development of new learning methods such as Gamified Training or the developed AI Digital Transformation Audit Stress Test as an audit methodology concept.
17th February, 2027 | 09:00 - 12:30 CET
18th February, 2027 | 09:00 - 12:30 CET
“More prompts, new possibilities with ChatGPT 4o and more practical audit cases”
Suggested training duration: Two half‑day sessions (total 1 day)
Useful precondition: Participation in "Part 1 Base Camp Prompt Engineering: Effective use of GenAi, LLM along the Internal Audit Process"
Training Description
After the successful first part of the ChatGPT training course, we start with new practical internal audit examples, more level 3 prompts and new productivity features from ChatGPT-4o and GPT 5.0.
Increase your daily productivity! Learn the appropriate methods for the effective and professional use of ChatGPT in internal auditing. Make your everyday auditing work easier with this advanced AI language model.
With our training course part 2, you can leverage the full potential of ChatGPT in your internal audit processes. Building on foundational knowledge of training course part 1, this seminar delves deeper into sophisticated applications and strategies to elevate your auditing capabilities for prompt engineering. This will enable you and your team to significantly expand your team skills.
Learn how to benefit from the latest features of ChatGPT-4o and GPT 5.0, such as enhanced contextual understanding, multimodal capabilities and advanced fine-tuning to seamlessly integrate Generative AI into complex audit scenarios, improve usage with new Level 3 prompts and optimize audit report generation. This course will equip you with cutting-edge techniques to drive productivity, accuracy, and success of your audit work.
Audit Training Agenda:
1. Kick-off and training overview
- Concise recap of the learning content part 1
- Objectives and learning content of the training course
2. Introduction to the new and enhanced ChatGPT features
- Enhanced Context Understanding
- Advanced Fine-Tuning Capabilities
- Increased and updated knowledge base
- Multimodal capabilities image and text integration
- Enhanced Safety and Ethical Features
- Robust confidence interval and new content filters
- Increased transparency and explainability of prompt results
- Interactive tools to improve user integration
3. New ChatGPT prompt engineering techniques
- More level 3 prompt techniques for more productivity
- New and extended structural modules for best-practice Level 1 prompt techniques
- New internal audit user scenarios
4. Advanced Internal Audit Application Scenarios with ChatGPT 4o
- Advanced Level 2 Prompt Engineering applications for
- Risk assessment methods,
- Audit Assignment Structure (APM),
- Effective audit documentation,
- Agile Auditing Task Cards in Kanban Boards,
- Control Design Analysis and
- Audit report templates
5. New best practices for the use of ChatGPT along the audit value chain
- Practical creation of html flowcharts
- Analysis Control Design reinvented in the context of process auditing
ð Identification and analysis of control categories and control testing procedures
ð Differentiated assessment of controls and their maturity level
ð Creation of suggestions for improvement in connection with risk-mitigating actions
- Fast and effective documentation of audit procedures and associated summaries
- Consistent evaluation of different audit observations, audit evidence and audit findings according to standardized risk classifications and team perspectives
- Integration of Internal Audit report templates for fast and correct preparation of the audit report
- Visualization of management summary overviews, dashboards and graphics
6. Live audit demonstration and practical exercises
- Live demonstration of the use of ChatGPT
- Case study to adapt the application scenarios learned for direct practical implementation in your own Internal Audit department
7. Joint summary and outlook
- Conclusion and key learnings
- Next steps and roadmap for your audit team
- Outlook on future developments and trends for AI in Internal Audit
Trainer:
Dr. Dominik Foerschler, PhD, CIA, CRMA, MD Audit Research Center | ARC Institute
awarded by Richard Chambers as Internal Audit Beacon Award Winner and Top 10 Global Thought Leader for Internal Audit.
In over 30 years of professional experience at Deutsche Bank, Canadian Imperial Bank CIBC and BMW in responsible management positions, with international assignments in Toronto, Chicago, New York, Madrid and London, Dominik is today the author of numerous expert books and articles in the field of Internal Audit, GRC and human resources development in renowned professional journals as well as the editor of a book series.
After holding various management positions and working as executive assistant to the President of the University of Frankfurt am Main, Germany and faculty member of the Management Research Center; Dominik now heads the Audit Research Center | ARC Institute as Managing Director. As Chairman of the Digital Transformation Board, he is also responsible for the development of new learning methods such as Gamified Training or the developed AI Digital Transformation Audit Stress Test as an audit methodology concept.
27th January, 2027 | 09:00 - 12:30 CET
28th January, 2027 | 09:00 - 12:30 CET
“Use the power of ChatGPT, productivity enhancement for every sub-process of the audit”
Suggested training duration: Two half‑day sessions (total 1 day)
Training Description
Increase your daily audit productivity! Dive into the fascinating world of effective use of ChatGPT in internal auditing. Make your daily auditing work easier with this advanced language model.
In our audit training, you will be introduced to how ChatGPT works and how this powerful model was developed. You will understand how it was trained and what data sources were used to create a model based on an amazing wealth of practical usable knowledge.
Discover the many possible use cases along the audit value chain. Learn how it works appropriately and find out more about proven best practices to optimise your audit results and audit procedures.
Audit Training Agenda:
1. The internal audit in the digital transformation
· Digitalization and Internal Audit
· Lean audit techniques for more efficiency
· Actively shaping digital transformation in auditing
2. Understanding ChatGPT
· Background to the model ChatGPT as an advanced language model
· Large Language Model (LLM) what is behind it? And how does it work?
· Highlighting the many possible applications of ChatGPT in Internal Audit
3. How ChatGPT works
· Explanation of the model training and data source
· Description of the GPT architecture model and its capabilities
4. Integration of ChatGPT into the internal audit process
· Discussion of the challenges and opportunities in integrating ChatGPT along the audit sub-processes
· Tips for optimising interactions with the model
· Approaches to improve the quality and reliability of the generated responses
· Ethical considerations and possible risks when using ChatGPT
5. Best practices for the use of ChatGPT along the audit value chain
· Sequential Prompt injections: Internal Audit Standards
· Design of the audit universe
· Effective use in risk analysis, audit risk assessment
· Preparation of audit guidelines
· Analysis control design rethought in the context of process auditing
· Systematic selection of analytical audit procedures and appropriate sample
· Anticipatory audit interview approach
· Faster and error-free preparation of the audit report
6. Audit live demonstration and practical exercises
· Conducting a live demonstration of the use of ChatGPT in an application
· Interactive exercises where participants can experiment with ChatGPT themselves and ask questions
7. Joint summary and outlook
· Conclusion and practical guide
· Outlook for the use of Generic AI in Internal Audit
Trainer:
Dr. Dominik Foerschler, PhD, CIA, CRMA, MD Audit Research Center | ARC Institute
awarded by Richard Chambers as Internal Audit Beacon Award Winner and Top 10 Global Thought Leader for Internal Audit.
In over 30 years of professional experience at Deutsche Bank, Canadian Imperial Bank CIBC and BMW in responsible management positions, with international assignments in Toronto, Chicago, New York, Madrid and London, Dominik is today the author of numerous expert books and articles in the field of Internal Audit, GRC and human resources development in renowned professional journals as well as the editor of a book series.
After holding various management positions and working as executive assistant to the President of the University of Frankfurt am Main, Germany and faculty member of the Management Research Center; Dominik now heads the Audit Research Center | ARC Institute as Managing Director. As Chairman of the Digital Transformation Board, he is also responsible for the development of new learning methods such as Gamified Training or the developed AI Digital Transformation Audit Stress Test as an audit methodology concept.
25th November, 2026 | 09:00 - 12:30 CET
The Future is today! The Way To Audit Excellence! Unlock the Power of Internal Audit, Generative AI and Agentic AI to Transform Your Internal Audit Function
What is your audit team development strategy for the effective use of AI in internal auditing? Did you already start to create your virtual AI Audit Team?
In this exciting presentation, we show you how you can further develop your internal auditing along a 5-stage maturity model based on the roadmap of the so-called Magnificent Seven. We guide you through the different phases of AI integration along the audit process with practical examples.
Each CMMi level is designed to increase your team's productivity, improve audit quality and drive continuous improvement.
Whether you are just getting started or looking to optimise your existing process architecture for internal audit or your AI tools, the CMMi Audit Development Map provides you with the strategic insights and leverage you need to best realise the full potential of AI in your audit function.
Discover how practical AI solutions can help you achieve greater productivity in your audit team. Learn how you can improve your team's performance step by step in this presentation. Ready to elevate your internal audit team’s performance? Discover how practical AI solutions can help you achieve more. Learn more about our 5-Level AI Audit Approach in this presentation and see how you can transform your audit function.
AI transformation of internal audit processes | Daily quality and productivity improvements
Scalable and practical implementation of artificial intelligence
- First things first – feature engineering, audit methodology expertise as a baseline
- Creation of scalable and practical AI implementation processes
- AI Audit Agents transform daily procedures
- Next Level Auditing: Multi-Agents help manage your daily audit work routine
- The new AI reality: Continuous Audit Risk Assessment finally becomes a reality
Trainer:
Dr. Dominik Foerschler, PhD, CIA, CRMA, MD Audit Research Center | ARC Institute
awarded by Richard Chambers as Internal Audit Beacon Award Winner and Top 10 Global Thought Leader for Internal Audit.
In over 30 years of professional experience at Deutsche Bank, Canadian Imperial Bank CIBC and BMW in responsible management positions, with international assignments in Toronto, Chicago, New York, Madrid and London, Dominik is today the author of numerous expert books and articles in the field of Internal Audit, GRC and human resources development in renowned professional journals as well as the editor of a book series.
After holding various management positions and working as executive assistant to the President of the University of Frankfurt am Main, Germany and faculty member of the Management Research Center; Dominik now heads the Audit Research Center | ARC Institute as Managing Director. As Chairman of the Digital Transformation Board, he is also responsible for the development of new learning methods such as Gamified Training or the developed AI Digital Transformation Audit Stress Test as an audit methodology concept.
The Agentic Revolution & Human Superpowers in an AI World
Redefining the Internal Audit Operating Model for a Hyper-Volatile Decade
Moving from Manual Execution to Governing Autonomous Audit Ecosystems
The 2027 Audit Challenge Conference Series is your definitive call to action to move beyond being a “Monday-Morning Quarterback” and become a strategic “Navigator” of the future. This is not just a conference; it is a collaborative laboratory for internal audit leaders and professionals to redefine their value proposition through technology-enabled human judgment.
Join us to bridge the gap between legacy thinking and future-state reality, ensuring your audit function delivers foresight and decision intelligence at the speed of business. Don’t wait for the future to be decided for you!
Help lead it.
Save-the-date: Wed. 21st / Thu. 22nd April 2027
The Agentic Revolution & Human Superpowers in an AI World
Redefining the Internal Audit Operating Model for a Hyper-Volatile Decade
Moving from Manual Execution to Governing Autonomous Audit Ecosystems
The 2027 Audit Challenge Conference Series is your definitive call to action to move beyond being a “Monday-Morning Quarterback” and become a strategic “Navigator” of the future. This is not just a conference; it is a collaborative laboratory for internal audit leaders and professionals to redefine their value proposition through technology-enabled human judgment.
Join us to bridge the gap between legacy thinking and future-state reality, ensuring your audit function delivers foresight and decision intelligence at the speed of business. Don’t wait for the future to be decided for you!
Help lead it.
Save-the-date: Wed. 21st / Thu. 22nd April 2027
