Auditing a 3-Statement Model with AI

Auditing a 3-Statement Model with AI Course Overview

AI can accelerate financial modeling, but models built with AI still require rigorous review before they can be trusted. In this course, you’ll learn how to use a structured multi-AI audit workflow to identify errors, validate model integrity, and improve the reliability of AI-assisted financial models. Using ChatGPT as an independent auditor and Claude as the model builder, you’ll learn how to separate true model errors from methodology choices, approve appropriate corrections, and verify that fixes have been implemented correctly. By the end of the course, you’ll have a repeatable framework for auditing AI-built financial models while maintaining the human oversight and accountability expected in professional finance environments.

Who should take this course?

Investment banking and private equity analysts and associates — and finance professionals more broadly — who already build 3-statement financial models and want to compress the structural work using AI without sacrificing model integrity or professional scrutiny. The lab also fits FP&A analysts, corporate finance professionals, and accountants looking to bring AI into the Excel workflows they already use.

Auditing a 3-Statement Model with AI Learning Objectives

• Design a multi-AI audit workflow that assigns a second AI, a professional persona, a checklist, and a report-only constraint to produce an independent model review. 
• Triage an AI audit report — separating must-fix errors from methodology choices — and direct Cluade to implement approved corrections.
• Run a second audit pass after corrections to confirm errors are resolved, and no new issues have been introduced.