How generative AI in accounting is transforming everyday tasks (Netgain)

Technology
January 10, 2025


This article from Alliance Partner Netgain explores how generative AI is reshaping daily tasks in accounting, from automating lease abstraction to drafting variance explanations. While not a replacement for human expertise, it’s a powerful tool for boosting efficiency and saving time.


Generative AI is making waves across industries, and accounting is no exception. For many accountants, though, it can be challenging to see how this emerging technology fits into their daily routines. Let’s break it down and explore what generative AI is, what it can do, and how it’s reshaping the accounting profession.

What is generative AI?

Generative AI refers to artificial intelligence systems that create new content based on patterns in the data they’ve been trained on. For text-based tasks, these systems often rely on Large Language Models (LLMs), such as OpenAI's GPT series or Google’s BERT. These models use deep learning techniques to process and generate human-like text.

LLMs excel at tasks like drafting emails, summarizing reports, and identifying patterns. However, they don’t “understand” the data in the way humans do. Instead, they predict what comes next in a sequence of words based on learned patterns, which means they may occasionally generate inaccurate or irrelevant responses.

What generative AI can do in accounting

While generative AI is no substitute for human expertise, it’s a powerful tool for streamlining processes and saving time. Here are three practical ways accountants can leverage AI:

  • Lease abstraction: Instead of manually extracting data from lease agreements, AI tools can identify key details, like payment amounts and dates, and input them into lease accounting software automatically. This is especially helpful for organizations managing a high volume of leases.
  • Fixed asset creation: AI can assist in creating fixed asset records by analyzing transaction data and auto-filling necessary fields. This minimizes manual data entry and ensures greater accuracy.
  • Flux analysis explanations: Preparing variance explanations during the month-end close can be tedious. With AI integrations, you can generate initial drafts for these explanations based on transaction history, saving valuable time.
Limitations of generative AI

Despite its capabilities, generative AI has limitations. It can’t:

  • Understand context beyond its training data or access real-time information.
  • Perform complex calculations with high precision.
  • Develop strategies tailored to your business needs.

AI tools also require human oversight to verify accuracy, ensuring outputs are relevant and aligned with your goals.

The bottom line

Generative AI is not here to replace accountants—it’s here to enhance how they work. By automating routine processes and providing quick insights, AI empowers professionals to work smarter and spend more time on strategic, impactful tasks. As this technology evolves, its role in accounting will only grow, making now the perfect time to explore its potential.