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TIGTA: IRS lacks plan for legacy systems retirement and replacement

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The Treasury Inspector General for Tax Administration, in a recent report, criticized the IRS for what it said was a lack of specific plans to replace and decommission legacy systems. 

The Inflation Reduction Act of 2022 gave the IRS additional funding to make improvements to its information technology infrastructure. Part of this was to retire old legacy systems and introduce newer, more modern replacements. To do so, the IRS said it would implement some of the recommendations TIGTA made on this very subject in a 2020 report

While two of the recommendations — to implement a policy requiring system owners to provide and update system information in the as-built-architecture, and to ensure that all systems are included in the ABA with complete and accurate information — were successful, TIGTA was more critical overall. 

For instance, while the IRS had recently identified 107 legacy systems as candidates for retirement, this was out of 334 overall; furthermore, of those 107 systems, only two have specific decommission plans. There are no plans for the remaining 105 systems. While the IRS had established the Technology Retirement Office within the Enterprise Services function in August 2021 to support these efforts, the office was shut down in January 2023 when its mission shifted from tracking the progress of system retirements to the strategic planning support of system decommissioning, such as providing architectural support services. 

“Without an enterprise-wide program, there is risk of an increasing use of resources to operate and maintain aged systems,” said TIGTA. “The IRS’s spending on operations and maintenance for its information technology infrastructure increased 35 percent from $2 billion in Fiscal Year 2019 to $2.7 billion in Fiscal Year 2023 and will likely continue to increase until a majority of legacy systems are decommissioned.”

Further, TIGTA had stated that the IRS was not uniformly applying its enterprise-wide definition to identify its inventory of legacy systems and therefore, said TIGTA, the IRS does not have a complete and accurate inventory of legacy systems. Using the IRS’s own definition of a legacy system (namely, an application age of 25 years or older or written in an obsolete programming language), TIGTA identified 344 systems as legacy. However, a review of a March 2024 report determined that the IRS incorrectly identified five additional systems as legacy. 

Staff said this happened because while the query searched for the application age and programming language fields, it also searched the system name field for the obsolete programming language. As a result, the query incorrectly identified a system as legacy for systems whose name included an obsolete programming language. 

“Without an accurate and a complete inventory, the IRS will be unable to effectively manage its legacy systems,” said TIGTA. 

In response to this finding, IRS Enterprise Architecture Office personnel stated that they updated the query to correctly identify all legacy systems. A second TIGTA review, though, found two additional systems that had not been identified as legacy but should have been, bringing the total number of legacy systems to 346. The IRS updated the system again as a result of the inspectors’ findings and, as of May 2024, TIGTA’s review of the report determined that all 346 legacy systems operating in the production environment have been identified correctly. 

TIGTA recommended that the Chief Information Officer should: 1) re-establish the Technology Retirement Office or implement a similar enterprise-wide program to identify, prioritize, and decommission legacy systems, and 2) ensure that the definition of a legacy system is properly applied and programmed in the query to correctly identify all legacy systems.

The IRS partially agreed with the first recommendation and plans to deliver a roadmap, which will reflect milestones toward delivering new capabilities, and work to decommission legacy systems as new capabilities become available. The IRS agreed with the second recommendation and plans to update the programmed query definition.

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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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