Artificial Intelligence in Auditing Course Overview

Course Prerequisites

Target Audience for Artificial Intelligence in Auditing

Introduction

Koenig Solutions offers an 8-day course on Artificial Intelligence in Auditing, ideal for professionals looking to integrate AI to enhance audit efficiency, risk management, and fraud detection.

Target Audience and Job Roles

• Internal Auditors
• Risk Management Professionals
• Compliance Officers
• Financial Auditors
• IT Auditors
• Fraud Examiners
• Audit Managers
• Data Analysts in Banking
• Chief Audit Executives
• AI/ML Enthusiasts in Audit
• Audit Consultants
• Operational Risk Analysts
• Banking Industry Professionals
• Financial Controllers
• Cybersecurity Auditors

Learning Objectives - What you will Learn in this Artificial Intelligence in Auditing?

Introduction:

The "Artificial Intelligence in Auditing" course provides in-depth insights into how AI can be leveraged to enhance internal audit processes, focusing on efficiency, risk management, fraud detection, and more.

Learning Objectives and Outcomes:

• Articulate the fundamental concepts and principles of Artificial Intelligence (AI) in the context of internal auditing.
• Identify and discuss diverse applications of AI in internal audit, specifically within the banking industry.
• Integrate AI into internal audit processes to enhance efficiency, risk management, fraud detection, and reporting.
• Utilize AI-powered tools to analyze data, improve decision-making, and enhance audit quality.
• Stay informed about emerging trends in AI and understand its impact on the future of internal audit practices and strategies.
• Understand AI fundamentals, including core concepts, principles, and terminology as they apply to internal auditing.
• Explore AI applications such as automated audit planning, risk identification, and fraud detection within internal audit scenarios.
• Leverage AI-driven techniques for continuous auditing, risk assessment, audit sampling, and real-time fraud alerts.
• Examine case studies of AI adoption in internal audit departments to understand practical challenges and successes.
• Address ethical considerations and regulatory compliance concerning AI usage in audit processes.