This course provides an overview of how AI is reshaping accounting software, streamlining tasks, improving accuracy, and offering advanced analytics. It covers key AI-driven features like automated data entry, intelligent invoice processing, predictive analytics, fraud detection, risk assessment, and natural language processing. In this course, we’ll also explore example case studies which illustrate AI's effectiveness in automating processes.
Publication Date: April 2024
Topics Covered
- Considerations of Using AI Accounting Software
- Traditional vs. AI Accounting Software
- Types of AI Accounting Software
- Automated Data Entry Tools
- Tax Preparation Software
Learning Objectives
- Identify key differences in traditional vs. AI-driven accounting software
- Recognize examples of various types of AI accounting software
Level
Basic
Instructional Method
Self-Study
NASBA Field of Study
Accounting (1 hour)
Program Prerequisites
None
Advance Preparation
None
Instructor
Kelen Camehl
Kelen is a recognized author and reviewer of CPE courses and has authored over 145 courses (350 CPE credit hours) covering a range of accounting, auditing, financial reporting, regulatory, and ethics topics. His courses are available for purchase from many online CPE providers including the AICPA. Kelen remained involved in CPA exam content development for nearly 10 years and authored more than a thousand multiple choice questions for various sections of the CPA exam. He also serves as an Editorial Advisor for the AICPA’s "Journal of Accountancy".
Kelen has nearly 20 years of progressive finance and accounting experience. He currently serves as an Accounting Policy Advisor with HP. Prior to HP, he served in multiple accounting roles in the oil & gas industry with ConocoPhillips including technical accounting policy, SOX compliance, and internal audit. He also gained public accounting experience with PricewaterhouseCoopers, working with various clients in the energy, electric, power, gas, and utility sectors.