Accounting
AI in accounting and its growing role
Published
1 month agoon

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.
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
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
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,
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
Accountants tackle tariff increases after ‘Liberation Day’
Published
46 minutes agoon
April 3, 2025
President Trump’s imposition of steep tariffs on countries around the world is likely to drive demand for accounting experts and consultants to help companies adjust and forecast the ever-changing percentages and terms.
On April 2, which Trump dubbed “Liberation Day,” he announced a raft of reciprocal tariffs of varying percentages on trading partners across the globe and signed an
“A lot of CFOs are thinking they are going to pass along the tariffs to their customer base, and about another half are thinking we’re going to absorb it and be more creative in other ways we can save money inside our company,” said Tom Hood, executive vice president for business engagement and growth at the AICPA & CIMA.
The AICPA & CIMA’s most recent
“CFOs in our community are telling us that, effectively, they’re looking at this a lot like what happened over COVID with a big disruption out of nowhere,” said Hood. “This one, they could see it coming. But the point is they had to immediately pivot into forecasting and projection with basically forward-looking financial analysis to help their companies, CEOs, etc., plan for what could be coming next. This is true for firms who are advising clients. They might be hired to do the planning in an outsourced way, if the company doesn’t have the finance talent inside to do that.”
The tariffs are not set in stone, and other countries are likely to continue to negotiate them with the U.S., as Canada and Mexico have been doing in recent months.
“The one thing that I think we can all count on is a certain amount of uncertainty in this process, at least for the next several months,” said Charles Clevenger, a principal at UHY Consulting who specializes in supply chain and procurement strategy. “It’s hard to tell if it’s going to go beyond that or not, but it certainly feels that way.”
Accountants will need to make sure their companies and clients stay compliant with whatever conditions are imposed by the U.S. and its trading partners. “This is a more complex tariff environment than most companies have experienced in the past, or that seems to be where we’re headed, and so ensuring compliance is really important,” said Clevenger.
Big Four firms are advising caution among their clients.
“Our point of view is we’re advising all of our clients to do a few things right out of the gate,” said Martin Fiore, EY Americas deputy vice chair of tax, during a webinar Thursday. “Model and analyze the trade flows. Look at your supply chain structures. Understand those and execute scenario planning on supply chain structures that could evolve in new environments. That is really important: the ability for companies to address the questions they’re getting from their C-suite, from their stakeholders, is critical. Every company is in a different spot according to the discussions we’ve had. We just are really emphasizing, with all the uncertainty, know your structure, know your position, have modeling put in place, so as we go through the next rounds of discussions over many months, you have an understanding of your structure.”
Scenario planning will be especially important amid all the unpredictability for companies large and small. “They’re going to be looking at all the different countries they might have supply chains in,” said Hood. “And then even the smaller midsized companies that might not be big, giant global companies, they might be supplying things to a big global company, and if they’re in part of that supply chain, they’ll be impacted through this whole cycle as well.”
Accountants will have to factor the extra tariffs and import taxes into their costs and help their clients decide whether to pass on the costs to customers, while also keeping an eye out for pricing among their competitors and suppliers.
“It’s just like accounting for any goods that you’re purchasing,” said Hood. “They often have tariffs and taxes built into them at different levels. I think the difference is these could be bigger and they could be more uncertain, because we’re not even sure they’re going to stick until you see the response by the other countries and the way this is absorbed through the market. I think we’re going through this period of deeper uncertainty. Even though they’re announced, we know that the administration has a tendency to negotiate, so I’m sure we’re going to see this thing evolve, probably in the next 30 days or whatever. The other thing our CFOs are reminding us of is that the stock market is not the economy.”
Amid the market fluctuations, companies and their accountants will need to watch closely as the rules and tariff rates fluctuate and ensure they are complying with the trading rules. “Do we have country of origin specified properly?” said Clevenger. “Are we completing the right paperwork? When there are questions, are we being responsive? Are we close to our broker? Are we monitoring our customs entries and all the basic things that we need to do? That’s more important now than it has been in the past because of this increase in complexity.”
Accounting
How to use opportunity zone tax credits in the ‘Heartland’
Published
1 hour agoon
April 3, 2025
A tax credit for investments in low-income areas could spur long-term job creation in overlooked parts of the country — with the right changes to its rules, according to a new book.
The capital gains deferral and exclusions available through the “opportunity zones” credit represent one of the few areas of the Tax Cuts and Jobs Act of 2017 that drew support from both Republicans and Democrats. The impact of the credit, though, has proven murky in terms of boosting jobs and economic growth in the roughly 7,800 Census tracts qualifying based on their rates of poverty or median family incomes.
Altering the criteria to focus the investments on “less traditional real estate and more innovation infrastructure” and ensuring they reach more places outside of New York and California could “refine the where and the what” of the credit, said Nicholas Lalla, the author of “
“I don’t want to sound naive. I know that investors leveraging opportunity zones want to make money and reduce their tax liability, but I would encourage them to do a few additional things,” Lalla said. “There are communities that need investment, that need regional and national partners to support them, and their participation can pay dividends.”
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A call to action
In the book, Lalla writes about how the Innovation Labs received $200 million in fundraising through public and private investments for projects like a startup unmanned aerial vehicle testing site in the Osage Nation called the Skyway36 Droneport and Technology Innovation Center. Such collaborations carry special relevance in an area like Tulsa, Oklahoma, which has a history marked by the wealth ramifications of the
“This book is a call to action for the United States to address one of society’s defining challenges: expanding opportunity by harnessing the tech industry and ensuring gains spread across demographics and geographies,” he writes. “The middle matters, the center must hold, and Heartland cities need to reinvent themselves to thrive in the innovation age. That enormous project starts at the local level, through place-based economic development, which can make an impact far faster than changing the patterns of financial markets or corporate behavior. And inclusive growth in tech must start with the reinvention of Heartland cities. That requires cities — civic ecosystems, not merely municipal governments — to undertake two changes in parallel. The first is transitioning their legacy economies to tech-based ones, and the second is shifting from a growth mindset to an inclusive-growth mindset. To accomplish both admittedly ambitious endeavors, cities must challenge local economic development orthodoxy and readjust their entire civic ecosystems for this generational project.”
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Researching the shortcomings
And that’s where an “opportunity zones 2.0” program could play an important role in supporting local tech startups, turning midsized cities into innovation engines and collaborating with philanthropic organizations or the federal, state and local governments, according to Lalla.
In
Other research suggested that opportunity-zone investments in metropolitan areas generated a 3% to 4.5% jump in employment, compared to a flat rate in rural places,
“It creates a strong incentive for taxpayers to make investments that will appreciate greatly in market value,” Tax Foundation President Emeritus Scott Hodge wrote in the analysis, “Opportunity Zones ‘Make a Good Return Greater,’ but Not for Poor Residents” shortly after the Treasury study.
“This may be the fatal flaw in opportunity zones,” he wrote. “It explains why most of the investments have been in real estate — which tends to appreciate faster than other investments — and in Census tracts that were already improving before being designated as opportunity zones.”
So far, three other research studies have concluded that the investments made little to no impact on commercial development, no clear marks on housing prices, employment and business formation and a notable boost in multifamily and other residential property,
The credit “deviates a lot from previous policies” that were much more prescriptive, Feldman said.
“It didn’t want the government to have a lot of oversay over what was going on, where the investment was going, the type of investments and things like that,” she said. “It offered uncapped tax incentives for private individual investors to invest unrealized capital gains. So this was the big innovation of OZs. It was taking the stock of unrealized capital gains that wealthy individuals, or even less wealthy individuals, had sitting, and they could roll it over into these funds that could then be invested in these opportunity zones. And there were a lot of tax breaks that came with that.”
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A ‘place-based’ strategy
The shifts that Lalla is calling for in the policy “could either be narrowing criteria for what qualifies as an opportunity zone or creating force multipliers that further incentivize investments in more places,” he said. In other words, investors may consider ideas for, say, semiconductor plants, workforce training facilities or data centers across the Midwest and in rural areas throughout the country rather than trying to build more luxury residential properties in New York and Los Angeles.
While President Donald Trump has certainly favored that type of economic development over his career in real estate, entertainment and politics, those properties could tap into other tax incentives. And a refreshed approach to opportunity zones could speak to the “real innovation and talent potential in midsized cities throughout the Heartland,” enabling a policy that experts like Lalla describe as “place-based,” he said. With any policies that mention the words “
“We can’t have cities across the country isolated from tech and innovation,” he said. “When you take a geographic lens to economic inclusion, to economic mobility, to economic prosperity, you are including communities like Tulsa, Oklahoma. You’re including communities throughout Appalachia, throughout the Midwest that have been isolated over the past 20 years.”
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Hope for the future?
In the book, Lalla compares the similar goals of opportunity zones to those of earlier policies under President Joe Biden’s administration like the Inflation Reduction Act, the CHIPS and Science Act, the American Rescue Plan and the Infrastructure Investment and Jobs Act.
“Together, these bills provided hundreds of millions of dollars in grant money for a more diverse group of cities and regions to invest in innovation infrastructure and ecosystems,” Lalla writes. “Although it will take years for these investments to bear fruit, they mark an encouraging change in federal economic development policy. I am cautiously optimistic that the incoming Trump administration will continue this trend, which has disproportionately helped the Heartland. For example, Trump’s opportunity zone program in his first term, which offered tax incentives to invest in distressed parts of the country, should be adapted and scaled to support innovation ecosystems in the Heartland. For the first time in generations, the government is taking a place-based approach to economic development, intentionally seeking to fund projects in communities historically disconnected from the nation’s innovation system and in essential industries. They’re doing so through a decidedly regional approach.”
Advisors and
“This really is a bipartisan issue. Opportunity zones won wide bipartisan approval,” he said. “Heartland cities can flourish and can do so in a complicated political environment.”
Accounting
Ramp releases tool to detect fraudulent AI-generated receipts
Published
2 hours agoon
April 3, 2025
Dave Wieseneck, an “expert in residence” at Ramp who administers the company’s own instance of Ramp, noted that faking receipts is not a new practice. What’s changed is that, with the recent
“So while it’s always been possible to create fake receipts, AI has made it super duper easy, especially OpenAI with their latest model. So I think it’s just super easy now and anybody can do it, as opposed to experts that are in the know,” he said in an interview.

Rather than try to assess the image itself, the software looks at the file’s
“When we see that these markers are present, we have really high confidence of high accuracy to identify them as potentially AI generated receipts,” said Wieseneck. “I was the first person to test it out as the person that owns our internal instance of Ramp and
While the speed at which they produced this solution may be remarkable, he said it is part of the company culture. The team, especially small pods within it, will observe a problem and stop what they’re doing to focus on a specific need. They get a group together on a Slack channel, work through the problem, code it late at night and push it out in the morning.
Wieseneck conceded it is not a total solution but rather a first line of defense to deter the casual fraudster. He compared it to locking your door before going out. If the front door is unlocked, a person can just stroll in and steal everything, but will likely give up if it is locked. A professional criminal with tons of breaking and entering experience, however, is unlikely to be deterred by a lock alone, versus a lock plus an alarm system plus an actual security guard.
“But that doesn’t mean that you don’t lock your door and you don’t add pieces of defense to make it harder for people to either rob your house or, in this case, defraud your company,” he said.
This isn’t to say there’s no plans to bolster this solution further. After all, the feature is only days old. He said the company is already looking into things like pixel analysis and textual analysis of the document itself to further enhance its AI detection capabilities, though he stressed that they want to be very confident it works before pushing it out to customers.
“We’re focused on giving finance teams confidence that legitimate receipts won’t be falsely flagged. So we want to tread carefully. We have lots of ideas. We’re going to work through them and kind of solve them in the same process we’ve always done here at Ramp,” he said.
This is likely only the beginning of AI image generators being used to fake documentation. For instance, it has recently been found that bots are also very good at forging
AI fraud ascendant
This speaks to an overall trend of AI being used in financial crimes which was highlighted in a
The poll found that 61% of respondents say use of AI by cybercriminals is a leading catalyst for risk exposure, such as through the generation of deep fakes and, likely, AI-generated financial documents. While 57% think AI will help against financial crime, 49% think it will hinder (Kroll said they are likely both right).
“The rapid-fire adoption of AI tools can be a blessing and a curse when it comes to financial crime, providing new and more efficient ways to combat it while also creating new techniques to exploit the broadening attack surface — be it via AI-powered phishing attacks, deepfakes, or real-time mimicry of expected security configurations,” said the report.
Yet, many professionals do not feel their current programs are up to the task. The rise in AI-guided fraud is part of an overall projected 71% increase in financial crime risks in 2025. Meanwhile, only 23% rate their compliance programs as “very effective” with lack of technology and investment named as prime reasons. Many also lack confidence in the governance infrastructure overseeing financial crime, with just 29% describing it as “robust.”
They’re also not entirely convinced that more AI is the solution. The poll found that confidence in AI technology has dropped dramatically over the past two years: those who say AI tools have had a positive impact on financial crime compliance have gone from 39% in 2023 to only 20% today. Despite this, there remains heavy investment in AI. The poll found 25% already say AI is an established part of their financial crime compliance program, and 30% say they are in the early stages of adoption. Meanwhile, in the year ahead, 49% expect their organization will invest in AI solutions to tackle financial crime, and 47% say the same about their cybersecurity budgets.
To help combat AI-enabled financial crime, Kroll recommended companies form cross-functional teams that go beyond IT and cybersecurity and involve those in AML, compliance, legal, product and senior management. Further, Kroll said there has to be focused, hands-on training with new AI tools that are updated and repeated as the organization implements new AI capabilities and the regulatory and risk landscape changes. Finally, to combat AI-related fraud, Kroll recommended companies maintain a “back to the basics” approach. Focus on fundamental human intervention and confirmation procedures — regardless of how convincing or time-sensitive circumstances appear.

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