AI for Accounting: Automating Bookkeeping, Financial Reporting, and Audit Workflows with Python

By Graham Wexler

Reactive Publishing

Artificial intelligence is rapidly changing how accounting work is performed. From automated transaction classification to intelligent audit analytics, modern tools can assist accountants in managing larger data volumes and more complex reporting requirements.

AI for Accounting explores how Python and modern AI techniques can be applied to common accounting workflows, including bookkeeping automation, financial reporting processes, and audit analysis.

This book focuses on practical concepts and real-world accounting contexts rather than abstract theory.

Inside, readers will explore topics such as:

- Using Python to process and analyze accounting datasets
- Applying machine learning to transaction classification and anomaly detection
- Automating repetitive bookkeeping and reconciliation tasks
- Enhancing financial reporting workflows with data automation
- Supporting audit procedures with data-driven analysis
- Integrating AI tools into existing accounting and finance systems

The book is written for professionals and students who want to understand how modern data tools can support accounting work without requiring an advanced background in artificial intelligence.

Whether working in public accounting, corporate finance, or internal audit, readers will gain a clear view of how AI-driven tools can assist with data-heavy accounting processes.

This book provides a practical introduction to the evolving intersection of accounting, automation, and applied data analysis using Python.

• Format: Paperback
• Language: English
• ISBN: B0GRNLFWMG
• ISBN13: 9798251060737
• Release Date: March 2026
• Publisher: Independently Published
• Length: 528 Pages
• Weight: 1.39 lbs.
• Dimensions: 1.3" x 6.0" x 9.0"