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AI in accounting and its growing role

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Artificial intelligence took the business world by storm in 2024. Content creation companies received powerful new AI-powered tools, allowing them to crank out high-quality images with simple prompts. AI also helped cybersecurity companies filter email for phishing attempts. Any company engaging in online meetings received an ever-ready assistant eager to show up, take notes and highlight the most important talking points.

These and countless other AI-driven tools that emerged during the past year are boosting efficiency in virtually every industry by automating the tasks that most often bog down business processes. Essentially, AI takes on the business world’s day-to-day dirty work, delivering with more accuracy and speed than human workers are capable of providing.

For accounting, AI couldn’t have come at a better time. Recent reports show that securing capable accounting staff is becoming more challenging due to a high number of retirees and a low number of new accounting graduates. At the same time, globalization, the rise of the gig economy, the shift to remote work and other recent developments in the business landscape have increased both the volume and complexity of accounting work.

As companies struggle to do more with less, AI offers solutions that promise to reshape the accounting world. However, putting AI to work also forces companies to accept some new risks.

“Bias” has become a huge buzzword in the AI arena, forcing companies to consider how the automation tools they bring in to help with processing data may introduce some questionable or even dangerous ideas. There are also ethical issues associated with next-level AI-powered data processing that have some concerned that achieving AI-assisted business efficiency also means risking consumer privacy.

To make AI worthwhile as an accounting tool, companies must find ways to balance gains in efficiency with the ethical risks it presents. The following explores the growing role AI can play in business accounting while also pointing out some of the downsides that should be carefully considered.

AI upside: Increased accuracy and efficiency

Accounting isn’t accounting if it isn’t accurate. Miskeyed amounts or misplaced decimal points aren’t acceptable, regardless of the company’s size or the business it is doing. When the numbers are wrong, the decision-making that relies on those numbers suffers.

Consequently, manual accounting typically moves slowly to avoid errors. Business leaders have learned to wait on financial reporting prepared by hand. They’ve also learned that because of processing delays, they may not have the numbers they need to take advantage of unexpected opportunities.

AI changes the equation by improving the speed and accuracy of reporting. AI-powered data entry automatically extracts numbers from invoices and other financial statements, eliminating the need for manual entry and the mistakes that can occur when an accountant is distracted, tired or just having an off day. AI can also detect errors or inconsistencies in incoming documents by comparing invoices and other documents to previous records, providing a second set of eyes for accounts as they ensure companies aren’t being overbilled or under-compensated.

When it comes to increasing the pace of accounting, AI’s capabilities are truly astonishing. As Accounting Today has reported, in the past, the type of robotic process automation AI empowers can be used to drive automated processes 745% faster than manual processes. And AI accounting programs never clock out or take a lunch break. They work 24/7, even on bank holidays, to keep the books up to date.

AI accounting gives business leaders accurate financial data in real time, meaning they have relevant and reliable accounting intel when they need it rather than requiring them to wait until the end of the month to have a report on where their cash flow stands. It also has the potential to give a glimpse into the future by drawing upon historical data to drive predictive analytics. AI can look at what has been unfolding in a business and its industry to plot the path forward that makes the most financial sense. It’s not exactly a crystal ball, but it’s as close as most businesses should expect to get.

AI upside: More time for high-level engagement

As AI began to make inroads in the business world, experts warned it would ultimately replace hundreds of millions of jobs. While the consensus seems to be that AI doesn’t have what it takes to replace an accountant, it certainly has the potential to reshape the profession in a positive way.

The manual work typical of conventional accounting is tedious, tiresome and time-consuming. Doing it well eats up much of the energy accountants could otherwise apply to higher-level activities. By using AI automation for those tasks, accountants gain the resources needed for high-level engagement.

Accountants who partner with AI gain the capacity to shift their role from bookkeeper to financial advisor. Rather than focusing all of their energy on preparing reports, they are freed up to interpret the reports. Delegating data entry and other day-to-day tasks to AI allows accountants to become strategic partners with the businesses they serve, whether as in-house employees or external advisors.

Financial forecasting becomes much more doable when AI is in play. Accountants can develop comprehensive financial models that forecast future revenue and expenses. They can also assess investment opportunities, such as determining the viability of mergers and acquisitions, and help with risk management and mitigation.

Tax planning and optimization will also become more manageable once AI automations have been added to the mix. Automating data extraction and categorization streamlines the process of classifying expenses for tax purposes and identifying expenses that are eligible for deductions. AI automation can also be used for tax form completion, adding speed and a higher level of accuracy to a process that very few accountants look forward to completing manually.

AI downside: Higher data security risks

Accountants are well aware of the dangers of data breaches. Allowing financial data to fall into unauthorized hands can lead to financial loss, operational disruption, reputational damage and regulatory consequences. Shifting to AI accounting can potentially increase the risk of data breaches.

Changing to AI accounting often means concentrating financial and other sensitive data and moving it to interconnected networks. Concentrating data creates a target that is more desirable to bad actors. Shifting it to the cloud or other interconnected networks creates a larger attack surface. Both factors create situations in which higher levels of data security are definitely needed.

Addressing the heightened threat of cyberattacks requires a combination of tech tools and human sensibilities. To keep accounting data safe, encryption, multifactor authentication, and regular testing and update protocols should be used. Training should also help accounting teams understand what an attack looks like and how to respond if they sense one is being carried out.

AI downside: Less process customization

Developing the types of platforms that can safely and reliably drive AI automations is not an easy — nor cheap — undertaking. Consequently, many companies choose the economy of “off-the-shelf” platforms. However, opting for a standardized platform could mean closing the door on customized financial workflows a company has developed.

For example, an off-the-shelf platform may not have the option of accommodating the accounting rules of highly specialized industries. It may have a predefined chart of accounts structure that doesn’t fit the structure a company has traditionally used. It also may be limited in the formats that can be used for financial reporting, which could require business leaders to make peace with reports that don’t fit their personal tastes.

To avoid big problems that can surface after shifting to off-the-shelf solutions, companies should make sure to take their time and seek software that can scale with their plans for growth. Like any other technological innovation, AI is a tool meant to support and not supplant a company’s processes. The process of selecting an AI platform to improve accounting efficiency begins with mapping out a company’s unique process and identifying where AI can boost efficiency. If the platform you are considering can’t deliver, keep looking.

AI best practice: Take it slow and learn as you go

The biggest temptation for companies as they begin to embrace AI will likely be doing too much too fast and with too little oversight. Artificial intelligence is a remarkable tech tool, but still in its infancy. Taking advantage of its capabilities also requires managing some risks.

For example, AI has what some experts describe as an “explainability” problem. Developers know what AI can do but don’t always know how it does it. Companies that feel compelled to provide their clients or stakeholders with a solid explanation of the process behind their AI automations may be limited in how they can put AI to work.

Now is the time to begin integrating AI with your company’s accounting efforts, but take it slow and learn as you go. A solid best practice is to explore what is available, experiment with how it can help your business, and expect to make many adjustments before you arrive at an optimal process. Your accounting efforts will serve you best when they combine human and artificial intelligence.

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Accounting

IAASB tweaks standards on working with outside experts

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The International Auditing and Assurance Standards Board is proposing to tailor some of its standards to align with recent additions to the International Ethics Standards Board for Accountants’ International Code of Ethics for Professional Accountants when it comes to using the work of an external expert.

The proposed narrow-scope amendments involve minor changes to several IAASB standards:

  • ISA 620, Using the Work of an Auditor’s Expert;
  • ISRE 2400 (Revised), Engagements to Review Historical Financial Statements;
  • ISAE 3000 (Revised), Assurance Engagements Other than Audits or Reviews of Historical Financial Information;
  • ISRS 4400 (Revised), Agreed-upon Procedures Engagements.

The IAASB is asking for comments via a digital response template that can be found on the IAASB website by July 24, 2025.

In December 2023, the IESBA approved an exposure draft for proposed revisions to the IESBA’s Code of Ethics related to using the work of an external expert. The proposals included three new sections to the Code of Ethics, including provisions for professional accountants in public practice; professional accountants in business and sustainability assurance practitioners. The IESBA approved the provisions on using the work of an external expert at its December 2024 meeting, establishing an ethical framework to guide accountants and sustainability assurance practitioners in evaluating whether an external expert has the necessary competence, capabilities and objectivity to use their work, as well as provisions on applying the Ethics Code’s conceptual framework when using the work of an outside expert.  

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Accounting

Tariffs will hit low-income Americans harder than richest, report says

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President Donald Trump’s tariffs would effectively cause a tax increase for low-income families that is more than three times higher than what wealthier Americans would pay, according to an analysis from the Institute on Taxation and Economic Policy.

The report from the progressive think tank outlined the outcomes for Americans of all backgrounds if the tariffs currently in effect remain in place next year. Those making $28,600 or less would have to spend 6.2% more of their income due to higher prices, while the richest Americans with income of at least $914,900 are expected to spend 1.7% more. Middle-income families making between $55,100 and $94,100 would pay 5% more of their earnings. 

Trump has imposed the steepest U.S. duties in more than a century, including a 145% tariff on many products from China, a 25% rate on most imports from Canada and Mexico, duties on some sectors such as steel and aluminum and a baseline 10% tariff on the rest of the country’s trading partners. He suspended higher, customized tariffs on most countries for 90 days.

Economists have warned that costs from tariff increases would ultimately be passed on to U.S. consumers. And while prices will rise for everyone, lower-income families are expected to lose a larger portion of their budgets because they tend to spend more of their earnings on goods, including food and other necessities, compared to wealthier individuals.

Food prices could rise by 2.6% in the short run due to tariffs, according to an estimate from the Yale Budget Lab. Among all goods impacted, consumers are expected to face the steepest price hikes for clothing at 64%, the report showed. 

The Yale Budget Lab projected that the tariffs would result in a loss of $4,700 a year on average for American households.

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Accounting

At Schellman, AI reshapes a firm’s staffing needs

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Artificial intelligence is just getting started in the accounting world, but it is already helping firms like technology specialist Schellman do more things with fewer people, allowing the firm to scale back hiring and reduce headcount in certain areas through natural attrition. 

Schellman CEO Avani Desai said there have definitely been some shifts in headcount at the Top 100 Firm, though she stressed it was nothing dramatic, as it mostly reflects natural attrition combined with being more selective with hiring. She said the firm has already made an internal decision to not reduce headcount in force, as that just indicates they didn’t hire properly the first time. 

“It hasn’t been about reducing roles but evolving how we do work, so there wasn’t one specific date where we ‘started’ the reduction. It’s been more case by case. We’ve held back on refilling certain roles when we saw opportunities to streamline, especially with the use of new technologies like AI,” she said. 

One area where the firm has found such opportunities has been in the testing of certain cybersecurity controls, particularly within the SOC framework. The firm examined all the controls it tests on the service side and asked which ones require human judgment or deep expertise. The answer was a lot of them. But for the ones that don’t, AI algorithms have been able to significantly lighten the load. 

“[If] we don’t refill a role, it’s because the need actually has changed, or the process has improved so significantly [that] the workload is lighter or shared across the smarter system. So that’s what’s happening,” said Desai. 

Outside of client services like SOC control testing and reporting, the firm has found efficiencies in administrative functions as well as certain internal operational processes. On the latter point, Desai noted that Schellman’s engineers, including the chief information officer, have been using AI to help develop code, which means they’re not relying as much on outside expertise on the internal service delivery side of things. There are still people in the development process, but their roles are changing: They’re writing less code, and doing more reviewing of code before it gets pushed into production, saving time and creating efficiencies. 

“The best way for me to say this is, to us, this has been intentional. We paused hiring in a few areas where we saw overlaps, where technology was really working,” said Desai.

However, even in an age awash with AI, Schellman acknowledges there are certain jobs that need a human, at least for now. For example, the firm does assessments for the FedRAMP program, which is needed for cloud service providers to contract with certain government agencies. These assessments, even in the most stable of times, can be long and complex engagements, to say nothing of the less predictable nature of the current government. As such, it does not make as much sense to reduce human staff in this area. 

“The way it is right now for us to do FedRAMP engagements, it’s a very manual process. There’s a lot of back and forth between us and a third party, the government, and we don’t see a lot of overall application or technology help… We’re in the federal space and you can imagine, [with] what’s going on right now, there’s a big changing market condition for clients and their pricing pressure,” said Desai. 

As Schellman reduces staff levels in some places, it is increasing them in others. Desai said the firm is actively hiring in certain areas. In particular, it’s adding staff in technical cybersecurity (e.g., penetration testers), the aforementioned FedRAMP engagements, AI assessment (in line with recently becoming an ISO 42001 certification body) and in some client-facing roles like marketing and sales. 

“So, to me, this isn’t about doing more with less … It’s about doing more of the right things with the right people,” said Desai. 

While these moves have resulted in savings, she said that was never really the point, so whatever the firm has saved from staffing efficiencies it has reinvested in its tech stack to build its service line further. When asked for an example, she said the firm would like to focus more on penetration testing by building a SaaS tool for it. While Schellman has a proof of concept developed, she noted it would take a lot of money and time to deploy a full solution — both of which the firm now has more of because of its efficiency moves. 

“What is the ‘why’ behind these decisions? The ‘why’ for us isn’t what I think you traditionally see, which is ‘We need to get profitability high. We need to have less people do more things.’ That’s not what it is like,” said Desai. “I want to be able to focus on quality. And the only way I think I can focus on quality is if my people are not focusing on things that don’t matter … I feel like I’m in a much better place because the smart people that I’ve hired are working on the riskiest and most complicated things.”

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