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IRS leveraging AI for audits amid layoffs

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The Internal Revenue Service is expected to lean more heavily on artificial intelligence technology as it carries out widespread layoffs.

A report, released last week by the Treasury Inspector General for Tax Administration, found the IRS could leverage its examination results when using AI to select cases for further scrutiny and improve its processes. TIGTA noted that the IRS’s current tax return selection models have resulted in a high percentage of examinations that were completed with no change to the tax liability. However, that means resources are wasted on unproductive examinations and compliant taxpayers are unnecessarily burdened. AI models can improve the process the IRS uses to select cases for examination. 

TIGTA assessed how effectively the IRS’s Large Business and International Division and the IRS Small Business/Self-Employed Division employ AI models to identify returns and issues for examinations.

The IRS started using AI several years ago and revamped how it selects tax returns and identifies issues for examination by using AI models that have been trained on current tax return data instead of relying on past audit results. 

The report noted that historical examination results are informative and should be used by the IRS to monitor and improve AI models when available. For instance, the IRS could utilize examination results to improve return classification and return selection AI models that could potentially identify new areas of noncompliance. The IRS should also consider evaluating ensemble machine-learning for improving the accuracy of identifying noncompliant taxpayers and narrowing the tax gap.  “Ensemble learning is an approach that combines multiple machine-learning algorithms to potentially improve performance by making more accurate predictions of which tax returns and/or issues to examine,” said the report. 

The IRS has not set up processes to evaluate whether the performance of AI models is better than prior methods or is achieving the intended objectives, according to the report. But not evaluating performance results runs contrary to federal AI key practices to ensure accountability and responsible AI use.

The report recommended that the IRS’s chief tax compliance officer, in partnership with the chief data and analytics officer where appropriate, require division commissioners to  use governance processes to ensure that examination performance results are part of the monitoring and continuing refinement of the return classification and selection AI models. They should also refine the AI models by incorporating ensemble machine-learning when appropriate; and establish a measurement plan with appropriate metrics to monitor AI models to ensure that they are achieving the expected benefits and to correct any model drifts. 

The IRS agreed with all three of TIGTA’s recommendations, subject to staffing constraints and anticipated new guidance from the Treasury Department on AI governance, and stated it has already tested and implemented ensemble methods in these models, where appropriate.

“The IRS is committed to continuously improving the case selection process,” wrote Reza Rashidi, acting chief data and analytics officer. “This includes making use of well-established processes to evaluate model performance.” 

She added that the IRS is currently awaiting guidance from the Treasury regarding new policies and priorities for AI governance. 

IRS layoffs

The IRS is expected to rely further on AI as it continues cuts to its workforce. According to another report released earlier this month by TIGTA on the cutbacks, over 11,400 IRS employees have either received termination notices as probationary employees or voluntarily resigned, representing an 11% reduction to the agency’s workforce. That number is expected to be higher by now, despite ongoing lawsuits and court decisions. The separations disproportionately impacted IRS revenue agents, who often handle audits and examinations, and found that approximately 31% of revenue agents, or 3,623 people, left the IRS under the program.

“About 11,000 employees have been let go since Inauguration Day, and that’s an 11% drop from the numbers in January,” said Anne Gibson, a senior legal analyst at Wolters Kluwer, earlier this month. “And it’s also been reported, more than 20,000 IRS employees have accepted this new second deferred resignation offer. That is really a lot of the workforce that’s already gone at this point, and that we’re potentially going to see leaving, and there have been reports of increased wait times, for instance, on the telephone lines.”

People are also concerned about how quickly tax refunds will be issued this year, she noted. “There’s definitely some concern out there about that,” said Gibson. “It’s also important to note that there have been other reports that the administration’s overall goal is to eventually reduce the IRS workforce down to about 60% or even 50% of the January 2025 levels. That would end up being a total of only 50,000 or 60,000 employees. It’s also important to keep in mind that, generally speaking, people have felt that the IRS has been understaffed and underfunded for the past decade. Although the numbers went up a little bit after the Inflation Reduction Act allowed for some more hiring, most people didn’t think it was yet at the level that they would want to see it at. So this is really a big reduction, which is likely to make things in all areas of the IRS a little more difficult or take longer.”

The cutbacks have led the IRS to drop many of the audits it already had in progress.

“There have been news reports about audits that are in process or that are even close to being wrapped up being canceled because members of that audit team were let go and they just didn’t have the staff to carry them on,” said Gibson. “I imagine we’ll see more of that.  Now, with those reductions, I think we’ll probably see fewer audits going forward than we would have otherwise seen because a large number of the staff that’s been let go, and reports are the targeted cuts going forward, a lot of those are in compliance, so that’s going to directly impact the ability of the IRS to take on audits and cases.”

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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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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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