How KPMG Streamlined Financial Reporting and Improved Accuracy with Generative AI

By: GoBeyond Team
July 27, 2025
3 min read
AI case study for KPMG – generative AI streamlines financial reporting

Quick Overview

KPMG leverages generative AI and machine learning to automate financial reporting, generate insights, and identify discrepancies across ledger systems, reducing errors and accelerating reporting cycles.

KPMG
KPMG
Company Size
~300,000 employees (global)
Revenue Range
$40B+ annual revenue
Primary Challenge
Manual financial reporting prone to errors and slow processes
Key Metrics

- Reduced reporting errors
- Accelerated reporting cycles
- Improved data reconciliation accuracy

The Problem

Manual reconciliation and reporting were time-consuming and error-prone, limiting efficiency and accuracy.

The Solution

Implemented generative AI to automate report generation, discrepancy detection, and data reconciliation.

Results

- Fewer errors in financial reports
- Faster reporting turnaround
- Enhanced accuracy and compliance
- Reduced manual effort and operational costs

“Generative AI has transformed our financial reporting processes, making them faster and more reliable.”

Details

Industry
Professional Services & Consulting
Departments
Finance & Accounting
Use Cases
Financial Reporting
Tags
Time-Saving
AI Tools Used
No items found.
Sources
https://www.financialexecutives.org/Research/Publications/2024/AI-In-Finance-and-Accounting.aspxhttps://digitaldefynd.com/IQ/ai-in-finance-case-studies/

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