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Staying ahead of AI: Don’t be your clients’ second opinion

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Considering that some are claiming that artificial intelligence could bring us biological immortality by 2030, it would not seem like a major leap for some to think it could independently complete an advisory engagement end to end without any human input today. While this is not actually the case, those who fervently believe this to be true may be less likely to call their human accountants when, in their mind, a chatbot would do just fine. 

Joe Woodard, head of accounting coaching and education firm Woodard, said that this is part of how AI is slowly eating into accounting advisory services. The threat is not so much that the boss replaces everyone with an AI chatbot, but that the client decides an AI chatbot is good enough for their purposes and so never calls their accountant in the first place. 

“Among ChatGPT adopters — which, let’s remember, is still a small percentage of the business community — people are asking AI first. If they have gray areas or need a judgment call, then they reach out to their CPA … . This is how AI is undercutting the value proposition of accountants. CPAs are increasingly becoming a second opinion rather than the first source of expertise,” said Woodard. 

(See our feature story, “Staying ahead of AI.”)

This is a bad idea for several reasons. One is the obvious fact that the less a client calls their accountant, the fewer opportunities there are to offer the services that keep firms running. But there is also the fact that people think AI can do things it simply cannot do today, which can lead to poor decisions that could have been averted if only they’d consulted their human advisor. Hannah Dameron, an estate attorney with ArentFox Schiff who has spoken at accounting conferences on how AI is impacting her field, noted that people who try to draft wills using AI might be very disappointed when they test it in court. 

“If you put in a ‘Draft a will for me’ type of prompt, it might not actually be appropriate for your situation and might not be up to date depending on when tax laws have changed or probate laws have changed. So I think there is still great value in working with [human professionals]. AI just might create a challenge in communicating that with the public more broadly,” she said. What is needed is, first, education on what exactly AI can and cannot do. Media portrayals have given people the impression that AI is close to fictional entities like Iron Man’s Jarvis or 2001’s HAL 9000, which simply does not match reality. And even when bringing things a little closer to Earth, people still may not realize that, as powerful as AI is today, it still comes with real limits that require human compensation. 

AI and robots in office

“Right now, all we have is narrow AI, which means AI can answer highly specific questions. For example, if I ask, ‘What should my firm’s headcount be?’ AI can generate an informed response. But it can’t yet think holistically like a human does — it can’t ask leading questions, collect relevant information beyond the prompt, or make judgment-based decisions. AI can provide an analysis, but it’s not an advisor,” said Woodard. 

David Zweighaft, a partner with RSZ Forensics, added that clients need to be aware that AI can be biased and, in the case of generative solutions clients might access via public models, extremely inconsistent. Given that generative AI works on a probabilistic basis, by necessity if you give it two different prompts you can get two different results. “We need to be able to look at AI-generated output either that we commissioned or that the client has relied on and say, ‘OK, here’s the same data set; let’s run this through a different AI platform and see if you get the same results.’ … We can use AI to do that just as a safety check for us,” he said. 

David Nelson, an estate planning specialist with Top 25 Firm Aprio, said that ensuring that accountants remain the first opinion, not the second, means being proactive. Professionals should not be waiting around for their clients to call them, and then lament that they’re using a chatbot instead. They should be taking initiative to reach out in response to changing circumstances that might affect them. 

“For example, if a client’s net worth is rising rapidly and there’s potential for increased estate tax, it’s important that our colleagues in other departments plant the idea: ‘Hey, you might want to talk to our estate planning team.’ That way, clients aren’t suddenly faced with estate planning questions and turning to the internet for answers instead of calling us. It’s about being proactive,” said Nelson. 

He said that misinformation has become a challenge, as he has had clients coming in with ideas they got from ChatGPT or other tools, which he said can have outdated information. Chatbots might bring clients a rough approximation of an answer, but it may lack nuance, and so it is on professionals like him to explain the complexities. Still, it is better for clients to come in and have this talk than to simply accept the AI answer and not come in at all.

“That said, I don’t mind if a client comes in with their own idea. I haven’t personally encountered resistance when explaining why an AI-generated response might not fully address their needs. But AI’s growing presence in society means we’ll likely see more of this,” he said. 

Lari Masten, a valuation specialist who heads Masten Valuation, raised a similar point. She talked about a client who relied on an AI’s answer, much to his own detriment. She said it’s not so much that he didn’t want to call her at all, but it was the weekend and he was under intense time pressure, so he consulted a bot instead and went with its suggestion. 

“And then later in the week, I hear from him and he’s like, ‘yeah, by the way,’ and what he did was not what I would have ever recommended. And I said, ‘I wouldn’t necessarily have recommended that because here are the other things that you weren’t considering, right?’ and it was thankfully not something that was a costly thing for him, but he was just like, ‘My gosh, I didn’t think about that,'” she said. However, while she acknowledges that hers might be an unusual position, she doesn’t mind if people refer to AI on simple matters that are easily looked up online and save the complex stuff for her. She’s not eager to spend all day answering basic questions when she could be doing higher-value work. “I don’t have any issue at all, to be honest, with a client that has a question, but they can go ask chatGPT or whoever they’re using. Because if it’s something simple and they can get the answer, that’s great. Because that frees me up; I can do better work. I can do higher-level stuff. I mean, I don’t want to be answering things like, ‘What’s the maximum amount that I can get this year?’ Go look it up. That’s easy, so I’m fine with that because then that makes my conversations with clients more meaningful,” she said. 

(Read more: AI in advisory: What work is at risk?)

In both Masten and Nelson’s cases, they leveraged existing relationships to prove their value proposition as human professionals. Woodard said that this is ultimately what accountants will need to do if they want to remain the first opinion, because if their idea of advisory consists of just handing people an analytics report, there’s not much of a relationship to utilize, and AI will indeed start eating into their client base. This was always a good idea, but Woodard said that now it is essential. 

“AI will not disrupt advisory that is built on relationships, strategic insight, and deep business understanding. If your advisory work is truly advisory — guiding clients through long-term decision-making — it will endure. However, if your advisory service is transactional or just financial reporting with a cover sheet, that is highly disruptable. Our thought leadership has aligned around this: Advisory must take place in the context of a relationship. It must be strategic, rather than transactional. Up until now, that was a best practice; going forward, it will be a necessity for survival,” said Woodard.

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Accounting

FASB Standardizes Carbon Offsets Accounting Rules

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FASB Standardizes Carbon Offsets Accounting Rules

In a decisive move toward standardized environmental financial reporting, accounting standards boards issued updated implementation guidance during the week ending July 25, 2026, regarding the formal recognition and valuation of corporate carbon offsets and environmental credits. The revised frameworks establish precise rules for how enterprises must measure, record, and disclose carbon credits on balance sheets, eliminating years of inconsistent reporting practices across public capital markets.

Under the finalized accounting standard, purchased carbon offsets can no longer be categorized under vague administrative expenses or unstandardized intangible asset accounts. Instead, organizations must classify environmental credits based on underlying operational intent—distinguishing between credits held for immediate compliance compliance obligations, long-term offset obligations, or active market trading. Furthermore, companies are required to evaluate carbon holdings for fair value impairment at the end of each reporting period, ensuring that depreciated or low-quality environmental credits do not distort corporate asset values.

The standardized rules carry significant implications for corporate audit committees and chief accounting officers. External audit firms are implementing rigorous verification protocols to validate the physical legitimacy, legal ownership, and scientific permanence of carbon credits claimed on balance sheets. Inaccurate or overstated carbon accounting claims now carry substantial financial litigation risk, alongside potential regulatory enforcement for misleading ESG disclosures.

To remain fully compliant, corporate accounting departments must establish centralized carbon tracking systems integrated into primary standard ERP ledgers. Accounting teams that proactively adopt standardized environmental reporting protocols will build investor credibility, streamline annual audit processes, and insulate their organizations against evolving regulatory scrutiny.

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Accounting

Automated Tax Compliance Tools Reduce Risk

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Automated Tax Compliance Tools Reduce Risk

Corporate tax departments reached a critical juncture in automated operational management. With nations worldwide rapidly enacting digital service taxes, localized value-added tax (VAT) mandates, and real-time electronic invoicing requirements, manual tax calculations have become obsolete. Modern corporate tax divisions are aggressively deploying AI-driven tax engine software to automate complex cross-border indirect tax calculations in real time.

The imperative for automated tax compliance stems from the sheer complexity of current trade policies and multi-jurisdictional commerce. E-commerce platforms, software vendors, and global manufacturers face constantly changing regional tax rates, statutory exemption rules, and cross-border tariff structures. Automated tax engines embed directly into enterprise enterprise resource planning (ERP) architectures, automatically applying correct tax codes at the point of sale, calculating real-time withholding amounts, and generating compliant e-invoices.

Automated audit trail generation represents another key advantage of modern tax tech integration. Advanced compliance platforms log every transactional tax determination on immutable digital ledgers, providing tax authorities with transparent, self-verifying audit trails. This capability drastically reduces the operational duration and administrative cost of corporate tax audits, protecting enterprises against severe penalties resulting from calculation errors or missed reporting deadlines.

For chief financial officers and tax directors, investing in automated tax compliance is a vital operational risk mitigation strategy. Automating routine tax calculations frees high-level accounting professionals to focus on strategic tax planning, transfer pricing optimization, and risk management in an increasingly complex global economic environment.

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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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