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IMA sees role for AI in accounting

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The Institute of Management Accountants is examining the possibilities of artificial intelligence in the accounting profession and how it will affect finance jobs now and in the future, as the organization itself recently went through a second round of staff cutbacks.

The IMA did not disclose the number of people laid off in February. The organization had an earlier round of reductions in force about two years ago.

“IMA recently implemented a strategic restructuring, which did impact headcount,” said a spokesperson. “Our focus is on positioning IMA for the future — aligned with the needs of our global members. IMA remains committed to our collective growth, and continues to invest in opportunities to advance our organization and profession.”

Institute of Management Accountants headquarters in Montvale, N.J.

The IMA released a report earlier this year on the impact of AI in accounting and finance as technologies like ChatGPT gain widespread acceptance. It points out how AI can automate accounting processes such as accounts payable and receivable, monthly and quarterly closing, expense processing, procurement and supplier management. AI can also help accounting and finance professionals get insights through data analytics to identify trends and strategies.

“Generally speaking, when people talk about AI, it tends to be very theoretical and high level, and what we have found is our members —those that are working in businesses and working with day-to-day processes and procedures and people — really want to understand what’s the practical implication of this new technology on the work that they’re doing,” said IMA president and CEO Mike DePrisco.

For the report, the IMA talked to about 40 finance leaders from around the globe to understand from their perspective, the main challenges, concerns and opportunities related to leveraging AI and emerging technology into finance and accounting. 

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Mike DePrisco

“We did a number of focus groups with this group of leaders, and they represent every region of the world,” said DePrisco. “A number of challenges surfaced that were really categorized around four areas: the human aspect, the technology data aspect, operational aspects and ethical and governance aspects.”

One of the worries about AI is the potential for layoffs. “I do think that is probably the biggest concern that many practitioners and organization leaders have as it relates to AI, and that is job displacement,” said DePrisco. “That’s another reason why stakeholders are sometimes hesitant to adopt AI technology in the workplace because of that. Everything that we see and hear suggests that AI will augment and not replace accounting and finance professionals, but the role of what people will do is different in the future than it is today.”

The most cited concern among 38% of the respondents to the IMA survey was the human aspect of working with AI. “The human aspect really is about getting the attention and support from top leadership to invest in and implement AI is a key challenge and a key opportunity for organizations,” said DePrisco. “Those organizations that have full support from leadership — those individuals that control the funding and the allocation of resources to certain projects — those organizations that have that support and alignment have a better chance of getting AI projects implemented successfully. The lack of that support, buy-in and alignment from top leadership was cited as a concern.”

Another concern relates to the skill gaps of individual employees who are required to work with AI. “Many individuals in accounting and finance may not have had exposure to this type of technology, and the challenge therefore in implementing these projects is how do you help upskill finance and accounting professionals and practitioners?” said DePrisco. “How do you give them the tools, skills and knowledge they need to work with the technology individuals and data scientists in the organization, so they are leveraging and building these algorithms, that they’re being built on practical applications or outcomes that the business needs to achieve.”

There’s also a challenge around stakeholder buy-in, with  employees accepting the idea that AI and machine learning are going to add value to the organization and not take away control or displace jobs. 

“Getting that buy-in is a critical challenge and an opportunity,” said DePrisco. 

There are also operational challenges with implementing AI, including cross-functional collaboration. “Implementing AI projects in an organization requires your finance and accounting business people working with your data people and your IT people to ensure that the data going into the machines represents the practical real-world scenarios that accounting and finance individuals are facing and what they need help in, so that when the machine spits out the information and data, it’s useful, reliable and suitable for the needs of the business,” said DePrisco. “Resource management is always a challenge and concern. Do we have enough resources to help ensure that this project is successful? It can’t be something that is just added to someone’s plate as another thing that they need to do and manage. AI projects are pretty complex projects. They’re time-consuming projects. Create space for your team to dedicate time to a successful implementation.”

Organizations may need to reengineer their processes to get good use out of AI. “If your processes are not good, layering in AI on top of bad processes is not going to get you a successful outcome,” said DePrisco. “The first step in implementing any AI project is to look at your processes, and to re-engineer processes in a way that’s going to be added value once you begin to implement the AI technology on top of it. Making sure that you’re rooting out bad processes, reengineering those processes, and taking the time at that point to do it is really the best practice as it relates to that.”

Choosing the right AI technology can also be a challenge. “It takes a lot of investment to bring in AI technology,” said DePrisco. “You have to look at what kind of technical depth you have. What’s needed from an integration perspective before you start making purchases, and starting to think about how you implement AI on top of that?”

Data integrity and maturity are important considerations as well. “Many organizations have data siloed throughout the organization,” said DePrisco. “It’s structured data and unstructured data. How are you bringing all that together and integrating that data and making sure that it’s reliable, clean and trustworthy, so that it can be leveraged and used to develop algorithms?”

Another challenge uncovered by the research centered around ethical and governance concerns. “These concerns are what you hear most about in mainstream media, the importance of data security,” said DePrisco. “How does AI technology impact an organization’s ability to maintain data security and data privacy? How are you governing the AI in your organization? Many organizations that implement these types of projects need to set up an AI Center of Excellence, for example, to ensure that people throughout the organization have visibility into how the AI is being used. What business outcome are you driving toward? What is the cost of implementation and maintenance? And data integrity. Is the data free of bias? Is it reflective of the business problems that you’re trying to solve?”

To help accounting and finance professionals adjust to the far-reaching changes emerging from AI, the IMA is planning to provide more training. “We need to ensure that we’re providing education, knowledge and certification training for practitioners who are moving to new roles,” said DePrisco. “These can be roles like compliance analysts, individuals that utilize AI to ensure the finance operations are adhering to laws and regulations. There are probably going to be new roles in risk assessment and management, that merge financial expertise with AI proficiency, for example, roles that identify bias in data and mitigating that bias.”

He noted that the IMA has long said that accounting and finance professionals are strategic business partners. “The more work is automated, the more opportunities individuals have to step away from some of those manual routine administrative types of tasks that accountants have done over the last 100 years and into that strategic business partner role,” said DePrisco. “That’s so critically important these days to help organizations achieve their outcomes.”

Many accountants are not sure whether it’s a good idea to trust AI systems yet with their clients’ data since programs like ChatGPT have a reputation for “hallucinating” or making up plausible-sounding information that turns out to be partly or wholly fictitious.

“You need knowledgeable accounting and finance people to question the data that comes out of the machines to ensure that it reflects the real-life scenarios that happen day to day and that reflect data that’s correct, accurate and with integrity.” said DePrisco. “That becomes an important role of accounting and finance people. That’s on the back end, but you also need that capability on the front end. And that’s why when I talk about the collaboration, you need experienced, qualified accounting and finance professionals to work with data scientists to build the algorithms that are being used to automate processes and automate a number of these financial processes that are going to create financial statements and other things that the organization is going to rely on. Making sure that the data that’s going in there is accurate, free from bias, and represents both unstructured and structured data that may exist in the organization. It’s the job of the accounting and finance professional to ensure that those algorithms are being built with the proper data. That’s how you mitigate the risk around hallucinations or information coming out that’s half baked.”

AI can be used for tasks like data analytics, to spot patterns and red flags, but it still requires the professional skepticism that an accountant can bring.

“The machines are proving to be very powerful technology that is creating new value, improving efficiency and productivity overall,” said DePrisco. “Like any new technology, there needs to be a healthy dose of skepticism and rigor applied to ensure that we’re not just relying on what a machine spits out, that we’re actually applying critical thinking, bringing our experience, judgment and curiosity to any data that becomes available through a machine. We’ve seen this throughout the years as new technology is adopted. There’s a maturity curve, and we’re still in the early stages of that maturity curve with AI. There will be a lot of learning that happens over time.”

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Lutnick’s tax comments give cruise operators case of deja vu

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Cruise operators may yet avoid paying more U.S. corporate taxes despite threats from U.S. Commerce Secretary Howard Lutnick to close favorable loopholes. 

Lutnick’s comments on Fox News Wednesday that U.S.-based cruise companies should be paying taxes even on ships registered abroad sent shares lower, though analysts indicated the worry may be overblown.

“We would note this is probably the 10th time in the last 15 years we have seen a politician (or other DC bureaucrat) talk about changing the tax structure of the cruise industry,” Stifel Managing Director Steven Wieczynski wrote in a note to clients. “Each time it was presented, it didn’t get very far.”

Industry shares fell sharply Thursday. Royal Caribbean Cruises Ltd. closed 7.6% lower, the largest drop since September 2022. Peers Carnival Corp. and Norwegian Cruise Line Holdings dropped by at least 4.9%.

All three continued slumping Friday, trading lower by around 1% each.

Cruise companies often operate their ships in international waters and can register those vessels in tax haven countries to avoid some U.S. corporate levies. It’s exactly those sorts of practices with which Lutnick has taken issue. 

“You ever see a cruise ship with an American flag on the back?,” Lutnick said during the interview which aired Wednesday evening. “They have flags like Liberia or Panama. None of them pay taxes.”

“This is going to end under Donald Trump and those taxes are going to be paid.” He also called out foreign alcohol producers and the wider cargo shipping industry. 

The vessels are embedded in international laws and treaties governing the wider maritime trades, including cargo shipping. Targeting cruise ships would require significant changes to those rule books to collect dues from the pleasure crafts, analysts noted. The cruise industry represents less than 1% of the global commercial fleet, according to Cruise Lines International Association, an industry trade group.

They also pay significant port fees and could relocate abroad to avoid new additional taxes, according to Wieczynski, who sees the selloff as a buying opportunity. 

“Cruise lines pay substantial taxes and fees in the U.S. — to the tune of nearly $2.5 billion, which represents 65% of the total taxes cruise lines pay worldwide, even though only a very small percentage of operations occur in U.S. waters,” CLIA said in an emailed statement. 

Should increased taxes come to pass, the maximum impact to profits would be 21% on US earnings, Bernstein senior analyst Richard Clarke wrote in a note. That hit wouldn’t be enough to change their product offerings, though it may discourage future investment. Recently, U.S. cruise companies have spent billions beefing up their operations in the U.S. and Caribbean. 

Cruise lines already employ tax mitigation teams that would work to counteract attempts by the U.S. to collect taxes on revenue generated in international waters, wrote Sharon Zackfia, a partner with William Blair.

Royal Caribbean did not respond to requests to comment. Carnival and Norwegian directed Bloomberg News to CLIA’s statement. 

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Accounting

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

Ascend adds VP of partnerships

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Ascend, a private-equity backed accounting firm, added a vice president of partnerships to its leadership team.

Maureen Churgovich Dillmore will oversee the expansion of Ascend’s growth platform for regional accounting firms into new U.S. markets, effective Feb. 17. She was previously executive director of the Americas at Prime Global. Prior, she was executive director at DFK International/USA.

“I have dedicated a large part of my career to supporting firms that want to remain independent. The dynamics of achieving success in this area are evolving rapidly, and the Ascend model was created so that firm identity would not be at odds with accessing the community and resources needed to prosper. I am genuinely impressed by Ascend’s ability to assist mid-sized firms in making the necessary strides to stay relevant, sustain growth, and provide their staff and clients with top-tier shared services—all while preserving their unique brand and culture,” Churgovich Dillmore said in a statement.

Ascend has added 14 partner firms across 11 states since the company launched in January 2023.

Maureen Churgovich Dillmore

Maureen Churgovich Dillmore

“So much of association work is theoretical, advising member firms on best practices, and you don’t get to see the end game. What excites me about being on the Ascend team is the opportunity to be a force behind the change, to help enact the change and see where and how it comes in,” Churgovich Dillmore added.

“Maureen’s decision to join Ascend is rooted in her desire to serve the profession in a way that maximizes her impact. We are all excited to welcome someone into our Company who has been an advisor and friend to mid-sized CPA firms for over a decade, and it is all the more rewarding when you realize that the community and resources we are bringing to life will allow Maureen to have conversations with firms that she’s never had before. Her curiosity, commitment, and deep care for others are going to stand out in this role,” Nishaad (Nish) Ruparel, president of Ascend, said in a statement.

Ascend is backed by private equity firm Alpine Investors and works with regional accounting firms with between $15 and $50 million in revenue. It ranked No. 59 on Accounting Today‘s 2024 Top 100 Firms list, with $126 million in revenue and over 600 employees. 

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