Course Overview

The external audit profession is undergoing transformative change—with AI technologies at the forefront. This course explores how today’s AI tools, machine learning algorithms, and advanced analytics are revolutionizing risk assessment, substantive testing, fraud detection, and client communication. Gone are the days when HAL 9000 and IBM Watson seemed distant—AI is now integral to modern audit work.

Why It Stands Out

• Tailored for real-world audit use: Go beyond the hype—gain hands-on, immediately applicable insights into audit-ready AI tools.
• Distinctly Sheriff-style: Engage with interactive case studies that bring practical scenarios to life—no passive slide decks here.
• Ethics & oversight focus: Understand how to navigate biases, data privacy issues, and the evolving role of auditor judgment.
• Up-to-the-minute relevance: Features the latest AI trends and regulatory insights curated by Garth Sheriff’s network of CPAs, audit leaders, and data scientists.

Who Should Enroll

Designed for external audit professionals—ranging from staff auditors and in‑charge seniors to audit managers and partners—who want to:

• Embrace AI to improve audit quality and efficiency
• Elevate core audit tasks through automation and analytics
• Stay ahead amid rising professional expectations (e.g., 64% of finance leaders now expect AI-enabled audit firms

Key Learning Outcomes
Participants will be able to:

• Define AI, machine learning, and predictive analytics in the audit context
• Evaluate AI-driven tools for risk assessment, anomaly detection, and control testing
• Deploy AI to streamline routine audit work while preserving professional skepticism
• Identify and manage AI-related risks—bias, privacy, explainability, and regulatory compliance
• Develop integration strategies that align AI with firm policies, staffing, and client needs