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How artificial intelligence can transform accounting

To benefit from the artificial intelligence revolution, the accountancy sector needs to address potential risks and develop new skills.


In brief

  • The accountancy sector can benefit greatly from the ability of artificial intelligence (AI) to improve accuracy, productivity and decision-making.
  • However, it is crucial to address potential risks, such as errors in AI algorithms, data bias, cyber attacks and overreliance on AI.
  • A robust AI governance framework and professional development for accountants to build new skills as AI reshapes job roles are also essential.

Artificial intelligence (AI) is driving revolutionary change across industries. Over the years, technological advancements have been disrupting the accountancy profession, creating both opportunities and challenges. In particular, the rapid rise of AI is now poised to have a profound impact on the sector. 

How can the profession reap the upsides of AI and do so responsibly?

Improved accuracy, productivity and decision-making 

Accuracy is paramount in accounting. AI comes with the ability to significantly enhance, automate and amplify human proficiency to help achieve the high level of precision needed for reporting and compliance.

 

Beyond that, the ability of AI to analyze vast amounts of data at high speeds is expected to transform the way accountants handle financial information. Machine learning algorithms can identify patterns and trends in financial data that may not be immediately apparent to human analysts, allowing accountants to gain deeper insights into a company’s financial health.

 

Companies can also leverage AI for its predictive and analytical capabilities. Predictive analytics, powered by AI, can help generate financial forecasts for revenue, expenses, profit and cash flow and enable more robust business planning. The technology also helps companies predict potential risks by analyzing historical data and identifying emerging trends, enhancing the accuracy of risk assessments. Insights derived from AI-driven analyses offer companies actionable intelligence to bolster internal controls and improve operational resilience while enabling more informed decisions.

Additionally, AI can be used to monitor transactions and flag any anomalies that may indicate non-compliance or fraudulent activities, helping businesses adhere to financial regulations and avoid costly penalties.

 

Another upside is the potential for productivity gains. Traditional accounting involves a considerable amount of repetitive work, such as data entry, invoice processing and reconciliation. AI-powered tools can automate these tasks, reducing the time and effort required by human accountants. For instance, AI algorithms can quickly scan and process invoices, extract relevant data and update financial records without human intervention. This not only increases efficiency but also greatly reduces the risk of human errors.

 

AI is also able to update data and validate its accuracy and reliability across multiple credible sources, which is particularly useful in companies where there are numerous complex systems that do not necessarily “talk to one another”. 

 

Further, some companies are taking the AI capability a step further by using generative AI to help with drafting performance announcements and annual reports for shareholders.

Impact on audit

 

Leveraging AI for audits allows auditors to enhance operational efficiency, strategic insights and risk assessments. Routine audit tasks, such as reconciliation, document review and analysis, can be automated, while time-consuming activities like sifting through lines of journal entry data — which would previously take days — can now be completed by AI in minutes. This allows auditors to dedicate more time toward complex analysis and critical judgment where they are most needed, resulting in more accurate and focused audits.

 

By using predictive analytics to analyze historical data, auditors can forecast potential risks and pinpoint higher-risk areas that may need further investigation. Moreover, Al algorithms excel at identifying patterns within large data sets, flagging transactions that deviate from patterns and detecting anomalies or outliers, such as errors or fraud. This allows auditors to zero in on inconsistencies that require closer examination.

 

In delving deeper into data through AI, auditors can also gain insights that may not be visible through traditional audit methods, including valuable information about the company’s financial health, operational effectiveness and opportunities for improvement. AI-powered tools, such as chatbots and virtual assistants, are also significantly changing the way that audit professionals interact with clients. These AI tools can handle routine client inquiries, provide instant responses and even schedule appointments. This not only helps improve client satisfaction but also frees up time for accountants to focus on more value-added tasks. Further, AI can analyze client interactions to identify areas for improvement, helping accountants to enhance their services.

Addressing the risks 

While the potential benefits of harnessing AI in the accountancy sector are significant, there are also risks that must be managed. A primary risk is the potential for errors in AI algorithms. If the AI system is not properly trained and updated or encounters data that it has not been programmed to handle, it can churn out inaccurate results. 

Poor data quality and data bias also produce inaccurate conclusions, and AI can inadvertently perpetuate or even amplify bias in data. To safeguard against this, it is crucial to use diverse and representative data sets for training AI systems. AI systems should also be monitored and evaluated continually for accuracy and reliability.

Data security and privacy are also significant concerns when using AI in accounting. AI systems access vast amounts of sensitive financial data, making them a potential target for cyber attacks. Therefore, regular security audits and updates should be performed to protect against emerging threats.

Finally, there is a risk of overreliance on AI. While AI can greatly enhance the efficiency and accuracy of accounting processes, it is not infallible. When working with AI, having a questioning mind and the ability to make critical assessments — essential skills for accountants — are vital. Notably, accountants must exercise professional skepticism by verifying AI-generated conclusions, assessing AI outputs and the data that inform them and being vigilant against automation bias.  

A robust AI governance framework is essential so that AI systems are used in a manner that respects data integrity, privacy and ethical principles. The framework should encompass all aspects of AI deployment and be supported by an organizational commitment to responsible AI use.

Organizations need a robust AI governance framework to uphold data integrity, privacy and ethical principles when using AI systems.

Professional development is vital 

As AI proliferates, job roles and responsibilities in the accountancy profession will invariably evolve. This necessitates professional development geared toward building a new set of skills for accountants. Proficiency in data analytics, understanding AI algorithms and the ability to work with AI tools are becoming essential competencies. While concerns about job displacement due to AI are acknowledged, the technology is unlikely to replace accountants entirely. The human elements of critical thinking, ethical judgment and interpersonal skills are highly valuable and remain irreplaceable.

By committing to continual professional development and the ethical and responsible use of AI, the accountancy profession would be well positioned to reap the upsides of the technology. These include the potential for greater competitiveness and future-readiness in an increasingly digital world.

This article was first published in the Chartered Accountants Lab, the content hub of the Institute of Singapore Chartered Accountants, on 20 May 2025.

Summary

AI is transforming the accounting profession by helping to enhance accuracy, productivity and decision-making and freeing up time for accountants to focus on more value-added tasks. However, risks like potential algorithm errors, data bias and security concerns must be managed. A robust AI governance framework is essential to respect data integrity, privacy and ethical principles. As AI reshapes job roles, accountants must develop new skills in data analytics and AI tools while maintaining critical thinking and ethical judgment. 

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