Accounting
AI great at simple tasks but struggles with complexity
Published
1 year agoon
Artificial intelligence has indeed led tech-forward firms (including those in this year’s
On the positive end, firms such as the Texas-based Franklin Alliance reported that adopting AI technology has dramatically increased their capacities as bots take on repetitive manual tasks with an ease and a speed far past more conventional automation setups, allowing accountants to focus more on higher value tasks.
“What’s been most impressive about the AI tools we’ve explored is their ability to dramatically reduce the time spent on repetitive, manual tasks—things like document summarization, data extraction, and even early-stage tax prep. In the right context, these tools create real efficiency gains and allow our team to shift focus to higher-value advisory work,” said Benjamin Holloway, co-founder of Texas-based Franklin Alliance.

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For some, like Illinois-based Mowery & Schoenfeld, these efficiencies have been most impressive on the internal administration side, with AI effectively taking care of the non-accounting work that nonetheless keeps many firms afloat, especially where it concerns meetings.
“Truly most impressive and a huge time savings for us has been AI’s ability to record and summarize Team meetings. Circulating notes and reducing administrative burden on such activities has freed up much capacity, both for our admin side and for partners or management who are not able to be at every meeting,” said Chris Madden, director of information technology.
Others, like top 10 firm Grant Thornton, emphasized AI’s benefits in client-facing activities and noted that it has been especially meaningful in its risk advisory services at least partially due to the firm’s recently-launched CompliAI tool, designed specifically for this area.
“The tool uses generative artificial intelligence and was developed using Microsoft technology, including Microsoft Azure OpenAI Service. CompliAI’s ability to quickly analyze vast datasets and identify potential risks has proven invaluable in combining Grant Thornton’s extensive global controls library with generative AI models and features, including AI analysis, ranking and natural language processing capabilities. As a result, our employees can run control design and assessment tasks in minutes, versus days or weeks. This means clients enjoy faster operational insights, which could amount to a new level of efficiency and a path toward transformative growth,” said Mike Kempke, GT’s chief information officer.
Another positive frequently mentioned, such as by top 25 firm Cherry Bekaert, has been the accessibility and ease of use for many AI solutions even for those without strong technical capacities. Assurance partner Jonathan Kraftchick said this means they did not need to wait long before they began seeing results.
“The most impressive aspect of AI has been its ability to add value with minimal ramp-up time. Many of the tools we’ve implemented have a low barrier to entry, allowing users to start experimenting and seeing results almost immediately. Whether it’s drafting content, conducting accounting research, summarizing meetings, normalizing data, or detecting anomalies, AI has consistently helped accelerate tasks and enable our teams to focus on higher-risk or higher-value areas,” he said.
Several firms, such as California-based Navolio & Tallman, also mentioned improvements to broad strategy and ideation, saying it’s been good for enhancing creativity and accelerating the early stages of their work.
“We’ve still seen value in AI as a jumping off point for ideas and strategy. It’s been helpful for brainstorming, drafting early versions of client communications, and supporting high-level planning conversations,” said IT partner Stephanie Ringrose.
Inconsistencies, inaccuracies, insufficiency, and insecurity
At the same time, firms over and over again said that while the strength of AI comes in handling simple jobs, it often lacks the precision and consistent accuracy needed for higher value accounting work. While it can certainly generate outputs at an industrial scale, trusting that those outputs are correct is another story for firms like Community CPA and Associates.
“AI is incredibly useful for certain types of tasks, such as summarization, data extraction, answering simple questions, drafting communications or documentation, brainstorming ideas, or serving as a sounding board. However, we have observed that most AI tools we’ve tried have difficulty with complex tasks that require lots of context, precision, or domain-specific knowledge. Oftentimes in these cases, AI tools will generate responses that are overly confident or wrong and are missing key information due to not being integrated with other systems or software we have,” said CEO Ying Sa.
Some, like top 25 firm Armanino, noted that these challenges mean that humans need to devote considerable time to ensuring the quality of AI outputs and intervening when the programs go off track.
“The primary disappointment stems from the occasional inaccuracies or biases inherent in AI-generated outputs, commonly referred to as ‘hallucinations,’ necessitating continuous human oversight to ensure reliability. Addressing these inconsistencies remains an ongoing challenge,” said Jim Nagata, senior director of cybersecurity and IT operations.
Top 25 firm Eisner Amper’s chief technology officer Sanjay Desai noted that these issues with accuracy and consistency can be found across AI solutions, though noted that the technology is still quite new and so many things are still in the process of being refined.
“The lows come from the gap between what’s possible and what works reliably in practice. We still need strong guardrails to define valid inputs and outputs, especially in sensitive use cases. Technologies like retrieval augmented generation (RAG) haven’t yet delivered the accuracy or consistency we need when working with proprietary or domain-specific data. Even in mature areas like audio-to-text transcription, we see issues—particularly with accurately identifying speakers in multi-person meetings, which affects the quality of recaps and follow-up actions. In short, while LLMs have come a long way, making them enterprise-ready still requires ongoing human oversight, thoughtful implementation, and continuous refinement,” said Desai.
Another issue reported by several firms was what firms like Navolio & Tallman saw as ongoing security risks from AI solutions that limits their ability to apply the technology to more sensitive use cases.
“The overall attention to security and privacy is still more limited than our industry requires, vendors have not yet aligned their pricing models with the impact their tools make to the business, and vendors still oversell their AI capabilities,” she said.
Top 25 firm Citrin Cooperman also noted–among other things–that the security of these solutions could stand to improve.
“The overall attention to security and privacy is still more limited than our industry requires, vendors have not yet aligned their pricing models with the impact their tools make to the business, and vendors still oversell their AI capabilities,” said chief information officer Kimberly Paul.
Another issue with AI that firms have reported is that solutions today don’t seem to integrate especially well with other programs, which limits the ability of these solutions to work across multiple systems in a single coherent workflow–under such conditions, AI solutions can wind up being siloed from the very areas it is needed the most.
“We believe one of the biggest gaps in current AI solutions is the inability to integrate into other AI solutions to work collectively across one process or workflow. There are many cases where one AI solution is very good at a specific task, while another is very good at another process or task, but the gap is the ability to integrate those solutions together to solve for an entirety of a process or a workflow,” said Brent McDaniel, chief digital officer for top 25 firm Aprio.
There is also the matter of data integration, which is needed for AI systems to gain a more holistic understanding of a firm’s needs. Without such integrations, AI becomes more limited in its ability to develop insights and provide actionable guidance, according to Tom Hasard, IT shareholder for New Jersey-based Wilken Gutenplan.
“We wish AI tools could fully synthesize all of our internal data and unique expertise—beyond the scope of general internet search—and provide detailed, context-specific answers for our team. In the near term, we envision an internal system that taps into our accumulated knowledge to assist staff in resolving complex client problems more quickly. Over time, this capability could be extended to give clients direct, on-demand access to our specialized insights, effectively scaling our expertise and delivering value in a more immediate and personalized way,” he said.
Beyond just data, lack of integration also limits the ability for AI to address complex problems due to lack of cross-disciplinary expertise, according to Kempke from Grant Thornton.
“Current AI solutions lack the deep cross-disciplinary expertise to be able to solve complex issues. AI today is optimized for specific fields and tasks but when it comes to solving problems that span multiple disciplines such as Tax, Legal and Finance, the current solutions are not yet capable of providing meaningful advice and guidance. Grant Thornton is already working with various AI partners on this issue and targets to be a very early adopter of the next iteration of AI that addresses this,” he said.
The AI wishlist
Many firms hoped that the next generation of AI solutions would address these sorts of problems in a way that will allow them to become true assistants capable of taking on complex tasks that require extensive judgment.
“We have found that AI currently lacks in the ability to replicate human creativity and complex decision-making. While AI excels at data analysis and task automation, it struggles with tasks requiring creativity and nuanced judgment. If AI could offer more sophisticated support in areas such as accounting and audit services, its value and impact in our daily lives would be significantly enhanced,” said Jim Meade, CEO of top 50 firm LBMC.
Desai, from Eisner Amper, also pointed out that AI isn’t very good at handling bad data, which is a problem considering that AIs run on data. This means that using AI effectively today still requires a great deal of data processing and sanitation to make information useful. If humans did not need to do so much manual cleanup to get data AI-ready, it would help make the technology even more efficient.
“One of the biggest gaps in AI today is its limited ability to handle bad data. Since data is the foundation of any AI strategy, it’s a challenge that most organizations still face— dealing with messy, inconsistent, or unstructured data. We wish AI could do more to identify, fix, and improve data quality automatically, instead of relying so much on manual cleanup,” said Desai.
Finally, Avani Desai, CEO of top 50 firm Schellman, said that AI needs to not only be safer, it needs to be visibly so, as trust and confidence in the technology is often key to adoption.
“I wish that AI could de-risk itself so that clients would be more open to using it and build client trust. If AI could more clearly demonstrate safety and responsible use, adoption would be much easier. Once people understand it’s here to help—and learn to use it responsibly—the fear will fade,” she said.
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Accounting
Are you ready for it? 4 steps to successfully integrate AI into your operations
Published
2 weeks agoon
May 7, 2026

Over the last few years, AI has gone from being a novelty to a mission-critical business strategy for many accountants. Innovative, forward-thinking firms are using these tools to streamline manual tasks, ensure compliance and provide the best possible service to their clients. According to the 2025 Intuit QuickBooks
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However, AI adoption is at varying levels across the industry. While nearly every firm has begun experimenting with basic AI tools, many remain in a sandbox phase, hesitant to move toward full-scale integration due to perceived complexity or costs.No matter where you may fall on the integration spectrum, the fact remains: AI is rapidly reshaping the accounting industry. If you’ve delayed AI adoption in your business, you’ll want to create a focused plan to catch up.
Time is of the essence, but don’t sacrifice strategy for speed
Firms that are ready to take the leap from casual use to deep integration may find themselves in need of accelerated adoption, but speed should not come at the cost of strategy. Identify tangible, practical ways that easy-to-use tools can impact your business through automation. Having a strong strategic focus allows firms to implement workflow changes to streamline manual tasks, ensure compliance and provide excellent service to your clients.
To begin your AI journey, here is a four-step plan that firms can use to transition from experimentation to execution, in a safe, practical manner:
Step 1: Kick off your first AI project
As is the case with many things, getting started is often the most challenging step. While enthusiasm is high, uncertainty with implementation risks can cause hesitation. The key is to lower risk by embracing AI and implementing an intentional, phased approach. Begin by weaving AI tools into high-impact, low-risk tasks, such as summarizing meeting notes, drafting client or firm-wide memos, or translating complex concepts into easy-to-understand ideas. Monitor results carefully and, if these initial attempts need adjustment, be prepared to pivot to the next use case until you can clearly demonstrate that AI systems are delivering a measurable impact on your operations. From there, you can learn from early experiences, adapt strategy, and scale appropriately to complete more complex projects.
Step 2: Dig into your AI toolkit
The marketplace is crowded with AI-powered tools that promise to do everything from enhancing your workflows to improving the customer experience. It can be hard to know which ones are worth investing your time and money. Find a trusted source like a respected peer, or leverage your professional network to help discuss the tools that may be the best fit for achieving your business goals. You can also look within the tools you’re already using to see if they offer AI-powered features, which can help ease into the transition. Additionally, look for free high-quality education to upskill your team. For example, Anthropic offers a Claude AI University that provides excellent foundational resources for moving beyond basic prompts.
Step 3: Review an AI security checklist
An important element in AI implementation is security. With AI tools needing access to firm and client data to function, it leads to questions of how the data will be protected. This makes the right AI and cybersecurity strategy critical. Firms must proactively ensure that client data remains protected from today’s increasingly sophisticated threats by embracing an established cybersecurity framework such as
Step 4: Openly discuss AI usage with your clients
Once you’ve established the best way to use AI tools that meet your firm’s needs, you’ll want to communicate all of the advantages afforded by these tools to your clients. Make sure you highlight the benefits and simultaneously ensure you are addressing any potential concerns. It’s also important to get explicit consent from all clients if you’re sharing their information with the third-party tools you may use. While this might seem like an extra step, it will go a long way toward fostering a greater level of transparency and deepen trust between you and your clients.
Don’t get left behind
Adopting AI does not have to be intimidating, expensive or overly complex. Think of it as a strategic business move that will not only keep you competitive, but will potentially free you up to focus on keeping clients happy and growing your practice. By strategically focusing on these best practices, identifying AI use cases in a phased approach, evaluating the right tools for your business, ensuring client information is secure and clearly communicating your AI strategy, you’ll be AI-ready in no time.

The Financial Accounting Standards Board met this week to discuss its projects on accounting for transfers of cryptocurrency assets and enhancing the disclosures around certain digital assets, such as stablecoins.
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During Wednesday’s meeting, FASB’s board made certain tentative decisions, according to a
At a future meeting, the board plans to consider clarifying the derecognition guidance for crypto transfer arrangements to assess whether the control of a crypto asset has been transferred.
FASB also began deliberations on the
The board decided to provide illustrative examples in Topic 230, Statement of Cash Flows, to clarify whether certain digital assets such as stablecoins can meet the definition of cash equivalents. It also decided to include the following concepts in the illustrative examples:
- Interpretive explanations that link to the current cash equivalents definition;
- The amount and composition of reserve assets; and,
- The nature of qualifying on-demand, contractual cash redemption rights directly with the issuer.
FASB plans to clarify that an entity should consider compliance with relevant laws and regulations when it’s creating a policy concerning which assets that satisfy the Master Glossary definition of the term “cash equivalents“ will be treated as cash equivalents.
“I agree with the staff suggestion to look at examples,” said FASB vice chair Hillary Salo. “From my perspective, I think that is going to help level the playing field. People have been making reasonable judgments. I agree with that. And I think that this is really going to help show those goalposts or guardrails of what types of stablecoins would be in the scope of cash equivalents, and which ones would not be in the scope of cash equivalents. I certainly appreciate that approach, and I think it has the least potential impact of unintended consequences, because I do agree with my fellow board members that we shouldn’t be changing the definition of cash equivalents, and it’s a high bar to get into the cash equivalent definition.”
“I’m definitely supportive of not changing the definition of cash equivalents,” said FASB chair Richard Jones. “I believe that’s settled GAAP in a way, and we’re not really seeing a call to change it for broader issues. I am supportive of the example-based approach. The challenge with examples, though, is everybody’s going to want their exact pattern, but that’s not what we’re doing.”
The examples will explain the rationale for how digital assets such as stablecoins do or do not qualify as cash equivalents and give a roadmap for other types of digital assets with varying fact patterns to be able to apply.
“We really don’t want to be as a board facing a situation where something was a cash equivalent and then no longer is at a later date,” said Jones. “That’s not good for anyone, so keeping it as a high bar with certain rigid criteria, I think, is fine.”
Stablecoins are supposed to be pegged to fiat currencies such as U.S. dollars and thus provide more stability to investors. “In my view, while a stablecoin may meet the accounting definition established for cash equivalents, not every one of those stablecoins in the cash equivalent classification represents the same level of risk,” said FASB member Joyce Joseph.
She noted that the capital markets recognize the distinctions and have established a Stablecoin Stability Assessment Framework to evaluate a stablecoin’s ability to maintain its peg to a fiat currency. Such assessments look at the legal and regulatory framework associated with the stablecoin, and provide investors with information that could enable them to do forward-looking assessments about the stability of the stablecoin.
“However, for an investor to consider and utilize such information for a company analysis the financial statement disclosures would need to include information about the stablecoin itself,” Joseph added. “In outreach, the staff learned that investors supported classifying certain stablecoins as cash equivalents when transparent information is available about the entities at which the reserve assets are held. Therefore, in my view, taking all of this into consideration a relevant and informative company disclosure would include providing investors with the name of the stablecoin and the amount of the stablecoin that is classified as a cash equivalent, so investors can independently assess the liquidity risks more meaningfully and more comprehensively by utilizing broader information that is available in the capital markets and its emerging information.”
Such information could include the issuer, reserves, governance and management, she noted, so investors would get a more holistic look at the risks that holding the stablecoin would entail for a given company.
The board decided to require all entities to disclose the significant classes and related amounts of cash equivalents on an annual basis for each period that a statement of financial position is presented.
Entities should apply the amendments related to the classification of certain digital assets as cash equivalents on a modified prospective basis as of the beginning of the annual reporting period in the year of adoption.
FASB decided that entities should apply the amendments related to the disclosure of the significant classes and amounts of cash equivalents on a prospective basis as of the date of the most recent statement of financial position presented in the period of adoption.
The board will allow early adoption in both interim and annual reporting periods in which financial statements have not been issued or made available for issuance.
FASB also decided to permit entities to adopt the amendments to be illustrated in the examples related to the classification of certain digital assets as cash equivalents without the need to perform a preferability assessment as described in Topic 250, Accounting Changes and Error Corrections.
The board directed the staff to draft a proposed accounting standards update to be voted on by written ballot. The proposed update will have a 90-day comment period.
Accounting
Lawmakers propose tax and IRS bills as filing season ends
Published
1 month agoon
April 17, 2026

Senators introduced several pieces of tax-related legislation this week, including measures aimed at improving customer service at the Internal Revenue Service, cracking down on tax evasion and curbing the carried interest tax break, in addition to efforts in the House to repeal the Corporate Transparency Act.
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Senators Bill Cassidy, R-Louisiana, and Mark Warner, D-Virginia, teamed up on introducing a bipartisan bill, the
The bill would establish a dashboard to inform taxpayers of backlogs and wait times; expand electronic access to information and refunds; expand callback technology and online accounts; and inform individuals facing economic hardship about collection alternatives.
“Taxpayers deserve a simple, stress-free experience when dealing with the IRS,” Cassidy said in a statement Wednesday. “This bill makes the process quicker and easier for taxpayers to get the information they need.”
He also mentioned the bill during a
“I’m happy to meet with the team … and do all I can to make it as good as you want it to be,” said Bisignano.
“My bill would equip the IRS with the legislative mandate to create an online dashboard so that taxpayers can monitor average call wait time and budget time accordingly,” said Cassidy. He noted that the bill would allow a callback for taxpayers that might need to wait longer than five minutes to speak to a representative, and establish a program to identify and support taxpayers struggling to make ends meet by providing information about alternative payment methods, such as installments, partial payments and offers in compromise.
“I know people are kind of desperate and don’t know where to turn for cash, so I think this could really ease anxiety,” he added. “This legislation is bipartisan and is likely to pass this Congress.”
Cassidy and Warner
“Taxpayers shouldn’t have to jump through hoops to get basic answers from the IRS — and in the last year, those challenges have only gotten worse,” Warner said in a statement. “I am glad to reintroduce this bipartisan legislation on Tax Day to ease some of this frustration by increasing clear communication and making IRS resources more readily available.”
Stop CHEATERS Act
Also on Tax Day, a group of Senate Democrats and an independent who usually caucuses with Democrats teamed up to introduce the Stop Corporations and High Earners from Avoiding Taxes and Enforce the Rules Strictly (Stop CHEATERS) Act.
Senate Finance Committee ranking member Ron Wyden, D-Oregon, joined with Senators Angus King, I-Maine, Elizabeth Warren, D-Massachusetts, Tim Kaine, D-Virginia, and Sheldon Whitehouse, D-Rhode Island. The bill would provide additional funding for the IRS to strengthen and expand tax collection services and systems and crack down on tax cheating by the wealthy.
“Wealthy tax cheats and scofflaw corporations are stealing billions and billions from the American people by refusing to pay what they legally owe, and far too many of them are getting a free pass because Republicans gutted the enforcement capacity of the IRS,” Wyden said in a statement. “A rich tax cheat who shelters mountains of cash among a web of shell companies and passthroughs is likelier to be struck by lightning than face an IRS audit, and Republicans want to keep it that way. This bill is about making sure the IRS has the resources it needs to go after wealthy tax cheats while improving customer service for the vast majority of American taxpayers who follow the law every year.”
Earlier this week. Wyden also
The Stop CHEATERS Act would provide the IRS with additional funding for tax enforcement focused upon high-income tax evasion, technology operations support, systems modernization, and taxpayer services like free tax-payer assistance.
“As Congress seeks ways to fund much-needed policy priorities and address our growing national debt, there is one common sense solution that should have unanimous bipartisan support: let’s enforce the tax laws already on the books,” said King in a statement. “Our legislation will make sure the IRS has the resources it needs to confront the gap between taxes owed and taxes paid – while ensuring that our tax enforcement professionals are focused on the high-income earners who account for the most tax evasion. This is a serious problem with an easy solution; let’s pass this legislation and make sure every American pays what they owe in taxes.”
Carried interest
Wyden, King and Whitehouse also teamed up on another bill Thursday to close the carried interest tax break for hedge fund managers that
Carried interest is a form of compensation received by a fund manager in exchange for investment management services, according to a
Under the bill, the
“Our tax code is rigged to favor ultra-wealthy investors who know how to game the system to dodge paying a fair share, and there is no better example of how it works in practice than the carried interest loophole,” Wyden said in a statement. “For several decades now we’ve had a tax system that rewards the accumulation of wealth by the rich while punishing middle-class wage earners, and the effect of that system has been the strangulation of prosperity and opportunity for everybody but the ultra-wealthy. There are a lot of problems to fix to restore fairness and common sense to our tax code, and closing the carried interest loophole is a great place to start.”
Repealing Corporate Transparency Act
The House Financial Services Committee is also planning to markup a bill next Tuesday that would fully repeal the Corporate Transparency Act, which has already been significantly
If enacted, the repeal would eliminate beneficial ownership reporting requirements, removing a transparency measure designed to help law enforcement and national security officials identify who is behind U.S. companies.
“This repeal would turn the United States back into one of the easiest places in the world to set up anonymous shell companies, something Congress worked for years to fix,” said Erica Hanichak, deputy director of the FACT Coalition, in a statement. “These entities are routinely used to facilitate corruption, financial crime, and abuse. Rolling back the CTA doesn’t just weaken transparency, it signals to bad actors around the world that the U.S. is once again open for illicit business.”
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