Class 11

AI Assisted Audit Analysis 1

Thursday, October 30, 2025

Class Overview

Why is this important?

Artificial Intelligence models are a potentially useful modern assistant to the audit. We will examine what the risk-scoring AI model flags as part of an audit, consider false positives/negatives, and consider the benefits of AI over a traditional audit sampling would have performed in the same scenario.

What will we do?

Audit firms today increasingly expect new professionals not only to understand accounting and auditing theory but also to be comfortable working with data analytics and AI tools. By engaging with the MindBridge AI platform, students gain direct experience with next-generation audit software, which enhances their job-readiness, supports better coverage of transaction populations, and helps them shift from sampling to full-data analysis.

How this relates to other classes:

These two classes build on transaction analysis undertaken in the PCard and audit analytics in the Helix/PeachState cases. In those cases we examined transaction data using traditional data analytics tools (Alteryx and Tableau). In these classes we will extend our transaction analysis to include the use of AI-assisted audit tools, specifically Mindbridge AI.

Materials and Preparation

Class Materials
  • Link: Mindbridge AI Platform (the software platform where you load the data and perform the audit).
  • Link: Mindbridge University Platform (where you get the data and case material).
  • Slides: PowerPoint or PDF
  • Analytics Tools: Mindbridge AI
  • Automation Tools: Ensemble AI
  • Suggested in-class seating: discussion teams
  • Suggested Pre-Class Preparation
    1. There is no required preparation prior to class.
    2. We will be working with the Mindbridge Platform, access to the platform will be provided in this class.
    3. Check your uw email for access details to the Mindbridge AI Platform and University website
  • Class Plan
    1. After a brief review of the material covered so far, we will log into the Mindbridge AI cloud platform and begin our first case.
    2. There are three cases on the Mindbridge AI University website and an optional fourth case if time permits.
    3. The first case, Case A, focuses on understanding the platform and undertaking the AI assisted risk scoring for individual JEs on a General Ledger.
    4. Case A will be completed in discussion teams for this week using the Mindbridge AI Platform in conjunction with the Mindbridge University website.
    5. We will start Cases B and potentially C in this class and complete them in new discussion teams next week.
    6. There are two individual deliverables required for this set of cases, details will be provided in class.