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CPA judgment still needed despite uptick in AI use

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Many companies are now touting their artificial intelligence services that will help taxpayers and businesses streamline their tax filings next year. While most major companies are taking a more cautious, human-centered approach to ensure safe and effective use of the technology, some smaller players are jumping right in without safeguarding their clients from potential errors that could make them liable for fraud and land them with Internal Revenue Service fines and audits.  

For example, Intuit, parent company of TurboTax, Credit Karma, QuickBooks and Mailchimp, announced a partnership with Google Cloud to allow users to take a photo of their tax forms and upload it to a tax filing program to save users from manual entry. Intuit’s chief data officer Ashok Srivastava made clear its AI program is used only to assist with technical capabilities and processes rather than full reliance on AI, noting in an interview, “We don’t want to just have the machines monitoring themselves. We want humans in the loop also, and we are doing that.”

Srivastava’s counsel is welcome, though many competitors in the space aren’t taking the same approach, particularly when it comes to filing complex research and development tax credits. In fact, there’s been a concerning trend of claims made by new firms in this space claiming AI is ready to replace expert tax consultants — but their speedy “solutions” might land users with an IRS audit or hefty fines rather than tax credits.

For example, some new companies that specialize in helping businesses prepare filings for R&D tax credits are making claims that are too good to be true or at best, misleading, ranging from attacking the expertise of CPAs to downplaying the risks of IRS audits. The most egregious behavior is when these firms use an AI model that fully automates 100% — or nearly all — of the tax credit process. Other claims made by some of these startups include saying their AI technology is trained on the IRS Tax Code and will even protect taxpayers in the event of an audit. 

However, the importance of human tax professionals during the filing process cannot be overstated.  

The reality is that AI cannot replace a CPA’s judgment, discretion and the ability to factor in context during any filing process. Businesses should be wary of AI-driven tax assistance firms making exaggerated claims. By asking the right questions and ensuring AI tools are properly vetted, CPAs help protect their clients from inaccurate and or fraudulent filings, audits and potential tax and penalty liabilities.

While AI can enhance the productivity of CPAs when processing large datasets, completing routine tasks or identifying potential qualifying activities, it cannot replace the discretion required to determine eligibility, substantiate claims or interpret tax law. R&D tax credit calculations require careful legal and regulatory interpretation, as AI models do not have the capacity to apply case law and legal precedent to tax claims in a way that aligns with IRS expectations. 

To make matters worse, these AI-driven firms fail to mention that if their AI-generated tax advice results in an audit, their customers, not the firms themselves, are held legally liable. Do these firms also represent clients in these scenarios during court proceedings? That remains unclear.

Finally, AI can be a risk during audit preparedness too. AI-generated claims may lack the necessary documentation and substantiation required to withstand an IRS audit, leaving taxpayers exposed to financial and legal risk.

If true tax experts don’t convince you, then the IRS may. AI is a useful tool for data analysis, but it is not capable of replacing the human, expert judgement offered by tax professionals like CPAs who help clients avoid inaccurate or fraudulent returns in the first place. 

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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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Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

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U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

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Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

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Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

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