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Accounting

Small firm AI plans must balance budget with ambition

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Some firms, the ones that constantly grab headlines, are spending billions of dollars to create bespoke artificial intelligence systems to service their Fortune 500 clients who need complex compliance and advisory services to support their global footprint. 

In contrast, the vast majority of firms are spending maybe a few thousand dollars to license commercially available models, and perhaps a few thousand more to train staff and integrate systems. Overall, if someone is not building billion-vector custom models housed on a massive server farm, AI is actually quite cheap, especially considering the capacity upgrades it can present. 

Firms with about one to 200 people are mostly engaging with the subscription model products right now, according to TJ Lewis, innovation strategist with Rightworks, an accounting-specialized cloud provider. “They’re not building out their own models,” he added. “They’re not securing a bunch of server time or things like that to spin up their own things by and large.”

AI money balance budget

Andrey Popov/stock.adobe.com

Part of this is because smaller firms don’t have the resources to construct their own custom AI models, especially the oceans of data to feed them, as well as the technical experts to bring it all together, according to Donny Shimamoto, head of IntrapriseTechKnowlogies, a tech advisory practice specializing in CPA firms. 

“It kind of makes sense,” he added. “In order for AI to work to a good extent, you need a high volume of data, and smaller firms just don’t have that volume. They need to teach the AI. And they also don’t have simply the teams to be able to build that out cost effectively.”  

Another reason is they really don’t need to, he added. Huge sophisticated AI models are generally used for highly complex tasks for highly complex companies, which is why the international-scale firms tend to invest in them. Conversely, the tasks most local accountants are handling for their clients are simpler by many orders of magnitude. In the majority of cases, said Shimamoto, a commercially available model will work fine for their purposes. 

“There’s personal AI or personal LLMs that, if a practitioner had a decent amount of content that they wanted to have readily searchable, they could use those LLMs like [Google’s] Notebook [LLM] or something. Those personal LLMs are designed to run off of a laptop, so you won’t see these huge incremental costs coming along,” he said. The cost of commercial AI solutions has also been going down over the years, he added, and many of the ongoing costs of these products are now at the vendor level. 

Furey Financial Services, a 38-employee firm in Hoboken, New Jersey, that was also named one of this year’s Best Firms for Technology, can relate. A highly tech-focused firm, with IT taking up 29.5% of its total operating budget, Furey has been an enthusiastic adopter of AI, making sure to equip all its staff with the latest available tools. It invests in both its own proprietary AI solutions as well as AI-enabled commercial products. However Chip Waller, the firm’s chief operating officer, said Furey aims to be judicious in its AI spending. While Furey’s tech ops team is “focused on building for the future,” he conceded it’s “a balancing act of investment versus being too reactionary.” 

“From our perspective we’re not trying to build our own LLMs or infrastructure,” he said. “It was really about how do we from a low-cost perspective leverage some of these models out there and plug them into our workflow, so you can differentiate AI into that platform component. … We’re going to really focus on the application layer and see where we can put these things to use while not trying to build the new AI model ourselves.”

This falls in line with the general advice Shimamoto had for smaller firms looking to invest in AI. It is the same as it is for any other major tech purchase: Firms must start with the use case, then find technology to fill it. Too many firms, he believes, do it the other way around, much to their detriment. 

“It’s the same way we’ve prioritized IT spend for the last two decades at least,” he added. “It comes down to where is the business value? What is the business strategy? And how will AI contribute to that? We do have to be careful of AI being a solution looking for a problem, but I have been seeing that a bunch.”

Waller said that when Furey was first thinking through its approach to AI, it considered building its own proprietary model, or to train one using an open source model like Llama as a base. However the firm calculated that this would carry not just a significant one-time cost for development but ongoing expenses such as server space. “We decided not to go that route and really just say ‘Hey, let’s get it plugged into our workflow but let’s hold off on running our own model,'” said Waller. This has helped the firm gain efficiency and productivity bonuses from AI while keeping IT costs low. 

However, Furey is more than just a consumer of AI products. While it’s not prepared to drop millions of dollars on custom systems, it has found great cost savings in the form of creating its own API access point for OpenAI’s models. During the development process, Furey estimated its expenses would be hundreds of dollars per month, but as time went on and OpenAI introduced new capacities, the cost began to drop. While the cost savings are nice, Waller said the real benefit is in better quality client services. 

“That cost has gone to near zero,” he added. “Once we got our whole team up and running on it, all the clients, we’ve got thousands of [API] calls, [but] we’re in no more than 10 bucks a month. But the investment really is on our team knowing which way to go and connecting the API client to the API gateway in a secure way, doing all that dev work to plug that into our templates on a daily basis and go through that.”  

Doug Schrock, managing AI principal for Top 25 Firm Crowe, said small firms should be actively experimenting with AI beyond just buying or licensing a commercial solution, which he called “the homeowner level of AI.” While the investment is much less, there is an upper limit on the value it can create because it does not enable more significant redesigns to processes and tasks that are offered by more complex solutions. Overall, he said, firms should be seeking to innovate and make strategic relationships with some of the larger AI players out there. 

While it’s fine for now to stick mostly with what’s on the market, he warned that smaller firms will need to increase their AI capacities soon, or else be outcompeted by other firms. Smaller players who can’t or won’t make these investments, Schrock predicted, will start falling behind. They might need to do things like hire consultants to help get them to that next stage of AI development. “The market is moving and folks like us get a higher level of value allowing us to get more cost competitive and deliver value and speed they maybe can’t,” he added.

“In the next six to 12 months, get your people using the tools tied to your existing system,” Schrock said. “If everyone is running MS Suite, turn on Copilot. It’s $30 bucks a month per user. Have your people start using the AI features built into your core system, then maybe get some spot LLM tools like ChatGPT or some AI-based research tool. They need to get in the game now if they haven’t already.”

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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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