Cambridge
Academy
In London

Introduction

AI is revolutionizing auditing by detecting anomalies, automating audit procedures, and improving fraud detection. This course equips professionals with skills to apply AI in auditing practices.

Objectives

- Understand AI applications in internal and external audits.

- Use AI for fraud detection and anomaly recognition.

- Automate audit processes with AI tools.

- Strengthen compliance and transparency through AI.

Audience

- Internal & external auditors

- Compliance officers

- Risk managers

- Forensic accountants

5-Day Outline

Day 1: AI in Modern Auditing

- Introduction to AI auditing tools (MindBridge, CaseWare, ACL Robotics)

- Benefits of AI in risk-based auditing

- Case studies: AI-enhanced audits

- Challenges in AI adoption for auditing

- Group discussion: AI vs. traditional audit approaches

Day 2: Fraud Detection with AI

- Machine learning in fraud detection

- Identifying anomalies in transactions

- Red flag indicators for fraud

- Demo: AI-based fraud detection system

- Exercise: Detect fraud patterns with AI

Day 3: Automating Audit Processes

- AI in journal entry testing

- Continuous auditing with AI tools

- Automating sampling and transaction testing

- Real-time alerts and reporting with AI

- Workshop: Create an AI-based audit checklist

Day 4: Risk & Compliance Monitoring

- AI in compliance auditing (SOX, IFRS, GAAP)

- Monitoring transactions for compliance breaches

- AI dashboards for audit risk monitoring

- Case study: AI-enabled compliance audits

- Simulation: AI-driven compliance test

Day 5: The Future of AI in Auditing

- AI’s impact on audit jobs and skill sets

- Ethical issues in AI-driven auditing

- Group presentations: AI-enabled fraud detection plan

- Expert feedback & recommendations

- Wrap-up & certification