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Leveraging artificial intelligence for better accounting efficiency: trends and strategies of success

What is AI in Accounting?

Artificial Intelligence refers to the use of artificial intelligence technologies, for e.g. machine learning algorithms and natural language processing in order to be able to streamline or improve various accounting processes. Tasks such as financial reporting, audit and compliance, fraud detection and data analysis are part of this. Artificial intelligence in accounting can help to improve accuracy and efficiency, reduce costs, and provide valuable information and predictions for decision making.

With intelligent responses to changing customer, supplier, vendor and partner expectations, new technologies are shaping Industry 4.0 in every sector. The automation enables workers to save 80 to 90 % of the time they would have spent manually completing different and repetitive tasks. By reducing errors made by humans, this will also improve the quality of output. AI has replaced almost all accounting tasks, including payroll, taxes, banking and audits, causing disruption in the financial services sector as well as a major change in how business is conducted. Robotic Process Automation (RPA) perform repetitive activities incorporate processes, such as document or data processing, with incredible efficiency.

What is AI’s role in accounting?

AI empowers accounting firms to improve productivity and make well-informed decisions at the most fundamental level. Indeed, 71% of the accounting professionals think that AI will have a major impact on their profession. And according to Mordor Intelligence’s study, the growth of artificial intelligence in accounting is projected to be 30.0% over the next decade.

Benefits of AI for Accounting

Taking care of repetitive tasks is the most common use for artificial intelligence in accounting. For instance, AI systems are capable of performing all tasks with minimum error and can perform them as follows:

  • Inputting and matching data
  • Receipt reconciliation
  • Creating and sending invoices
  • Expense reports
  • Tracking price changes
  • Account reconciliation
  • Sorting transactions
  • Data recording and reporting

Artificial intelligence is based on algorithms, which improve over time as more data are collected. Besides continuous improvement, AI is not prone to human error and has around the clock ability to work.

AI trends in accounting in 2024

Using artificial intelligence to summarize, organize, and analyse data

By using artificial intelligence to analyze massive amounts of financial data at speed and scale, forward thinking finance leaders are shifting the tide by providing real time insight into a firm’s financial condition. For companies that are resistant to the adoption of new technology in the accounting profession, this is an incredible competitive advantage.

AI is driving predictive data analytics

Artificial intelligence driven algorithms are able to analyse large sets of data, detect patterns and pick up possible risks that humans may not see. To that end, AI powered prediction analytics enables accountants and finance professionals to move from the tediously repetitive role of generating reports on their own up to a position as evaluators. It is our responsibility to assess the accuracy and reliability of the AI by benchmarking against known results, using cross validation techniques, using appropriate evaluation metrics, and assessing bias and fairness when AI spits out a prediction or output.

Embedding AI into end-to-end practice management solutions

When integrated into the tools you already use, Artificial Intelligence Tools by themselves like ChatGPT, Google Bard or others are most useful. This is because you’re going to spend less time switching between apps, and when AI is in the context of your daily work, it can be triggered by all of the current and historical data that you’re working with.

How to incorporate AI in your accounting workflows

The future of Artificial Intelligence for accountants should spark plenty of excitement for finance teams. With less, it’s got a lot of potential to get more and better work done. However, determining which accounting processes can and should be computerised or supplemented with artificial intelligence is crucial for reaping the benefits of this technology. A proper assessment of your existing processes is necessary to ensure that AI is incorporated in your accounting procedures:

Workflow analysis Begin by understanding your current accounting procedures in detail. Document each step of the tasks, from data entry to financial reporting.

Assess the volumes and complexity of data. Consider the volume and complexity of data that are involved in each procedure. Aid to artificial intelligence is often appropriate for tasks which require the handling of large amounts of data or complex calculations.  

The handling of huge amounts of data or complicated calculations is required in these tasks. Evaluation of data variability Specifies whether the data you are working with has a consistent pattern or if it appears to be variable. In handling data that has different patterns, AI is of particular use.

Assess the suitability of a task to determine whether tasks require judgment, interpretation or decision making by humans. Rather than full automation, AI support can be used in tasks that involve strategic decision making or complex analysis.


Artificial Intelligence uses machine learning and natural language processing to change accounting, optimise processes with a view to increasing accuracy. It allows businesses to simplify their tasks, increase productivity and make more strategic choices. In spite of the need to plan carefully, AI’s potential for predictive analysis and timely insights will give rise to considerable opportunities in future accounting. The adoption of artificial intelligence allows professionals to keep pace with industry changes and increase the value they bring to their clients and organisations.

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