Practical Application: Leveraging AI and Data Analytics to Enhance Audit Quality and Efficiency

Overview

This is a rebroadcast from AICPA ENGAGE 2026.

Artificial intelligence (AI) has many use cases in audit and significant potential to enhance efficiency, but AI use also brings up valid concerns about data privacy and fidelity, accuracy, and hallucinations.

In this session, presenters discuss the foundational elements of responsible AI use in audit, including:

The latest AI advances

How to leverage AI to streamline workflows

Real-world AI use cases

How to minimize AI-related risks and maintain audit quality

Participants will leave with a practical understanding of how to apply AI in audit practices and workflows based on real use in firms, as well as suggested resources for further exploration.

Highlights

AI tools for audit

How to apply AI

AI use cases

Risk management

Audit-specific AI considerations

Prerequisites

none

Designed For

Auditors

Assurance leaders

Firms

Accounting and finance professionals

Objectives

Identify use cases for artificial intelligence (AI) and data analytics in audit practices and how AI tools are currently being used to improve audit quality, efficiency, and risk detection.
Recognize the benefits and limitations for AI to streamline workflows and enhance insights while recognizing issues such as bias, hallucinations, and overreliance on automation.
Recall best practices and governance models to ensure AI tools are implemented in a way that maintains audit standards, transparency, and professional skepticism.

Notice

This course is offered by a 3rd party vendor and will not be accessible in the My CPE Tracker section of the ISCPA website. Course access information will be emailed directly to you by AICPA.