Part 2 MS-Copilot: From Using Copilot to Engineering AI-Enabled Auditing

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.