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AI evolves for CFOs and accountants

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While generative artificial intelligence is the hot conversation topic these days, we must not forget a long and successful history of using nongenerative AI, sometimes called legacy AI, especially for numerical and structured data. Uses such as forecasting of customer demand or revenues or the detection of patterns such as fraud or money laundering are important examples relevant to CFOs and accountants.

These tools and use cases improve in their capability every year and provide tangible business value.

Legacy AI uses

These nongenerative AI systems can also provide significant assistance in meeting compliance and regulatory requirements and preparing analytical reports for those purposes. Matching methods to detect which invoices and payments belong together, especially in cases of partial disparity, are in almost universal usage today and rely on AI.

Many of the more sophisticated management dashboards and systems underlying both accounting and enterprise resource planning software ultimately rely on such AI systems, for example inventory management and planning. Complex processes like just-in-time or just-in-sequence could not function without legacy AI backbones.

Limitations of generative AI

Turning to the oft-hyped topic of generative AI, we acknowledge that many claims are hype. Any tool, for instance, has an intended scope of use for which it is helpful and provides value. Beyond that scope, it is not helpful and may cause harm. Large language models are intended to manipulate language, not numbers, and so are generally not successful at dealing with numbers where we expect absolute accuracy.

A case in point is the analysis of a company’s annual report. If we do so using LLMs, we will get answers that are “enhanced” by information extraneous to the report, or we might get numbers that are not grounded in the report. Such uses are not appropriate and misleading. So what can we use them for?

Multimodal uses of generative AI

A step change forward of generative AI is its multimodal facility — the ability to work with text and images at once. Imagine taking a mobile phone snapshot of your latest restaurant bill and it’s automatically filed in the travel expense form of your company. What a time and hassle saver! This is quite accurate and thus also prevents human error. The same holds for invoices, receipts and other paper forms.

In case a legacy AI model discovers some sort of mistake — such as fraud or a partially paid invoice — it is generative AI that can convert this discovery into a human-readable message that explains what is going on and what to do about it. We have talked about explainable AI for many years, and it is LLMs that can produce an explanation even if the content of that explanation may need other systems to weigh in.

Natural language dashboards

We have all been in board meetings where one person asks an analytical question to which no one has the right numbers. Oh horror. An analyst will have to be kept busy for a few days, the charts sent, and the result is not actionable for a protracted time. Gone are the days! Generative AI can translate a question from English into the language of databases, SQL, and obtain the table of numbers that results. This table is then translated into the codified language of dashboards and displayed as a graphical image to the human user.

All of this occurs in the blink of an eye. Most importantly, the result is not hallucinated by the LLM but comes directly from the database — the answer can be trusted. This allows further questions to be asked live in the board meeting, eventually getting to an actionable result in a short time. I was present at such a meeting where a sequence of eight pointed questions was asked and answered in less than 10 minutes, leading to novel insights and a board decision. It was an eye-opener.

Support services

Fielding questions by employees, customers and suppliers is a major strain on any accounting division. Generative AI can help by triaging the most common questions and providing correct and sensible answers automatically. From providing help with the dreaded expense reports to filing invoices, AI can largely automate the everyday process of accounting, including matching it to the right expense account and getting approvals.

Security is important, especially when money is involved. Generative AI supplies a new level of sophistication for the detection of a variety of attacks such as phishing and hacking.

Some uses where AI, generative or not, can help in the realm of accounting have been listed here. Beyond the management of a company’s finances, the CFO also has to make many decisions for the rest of the company. AI can help analyze scenarios, help find reference data, and contextualize the situations and offerings of competitors or other vendors. It can help to objectify and compare the benefits of multiple options so that the CFO can better decide which to choose.

In conclusion, generative AI delivers genuine business value to the CFO organization after all the hype has been subtracted. The most impressive is the generation of dashboards on the basis of human-language questions. If you do nothing else, have a good look at that.

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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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