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As AI rises in importance, so too does governance

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AI governance was a major theme of 2024, and as the technology continues to evolve, oversight and control—as well as ways to demonstrate it to others—will become even more important this year. 

This was the assessment of Danny Manimbo, a principal with Top 50 firm Schellman, who is primarily responsible for leading the firm’s AI and ISO practices. Speaking during the firm’s Schellmancon event today, he said that last year saw the release of a number of AI governance frameworks, including the National Institute of Standards and Technology’s AI Risk Management Framework, the International Standards Organization’s ISO 42001, and Microsoft’s revisions to its Supplier Security and Privacy Assurance Program to account for AI. Meanwhile, actual regulation is also gaining momentum, with Manimbo pointing to the EU’s AI Act, South Korea’s AI Basic Act, and a number of state-level regulations such as California’s recent AI laws. 

“That kind of set the tone for a lot of the inquiries and the interest that we saw, and for the trends on where GRC was going in 2024, maybe not so much immediately in the beginning of the year, because the frameworks were so new, but I think they were boosted by a number of things in the regulatory standpoint,” said Manimbo. 

The other panelist, Lisa Hall, chief information security officer for the trust platform SafeBase, added that, given the pace of AI advances, it is likely that last year’s measures were not the end but just the beginning, especially considering how widely used even the current generation of solutions is. 

“I think it’s only going to increase, and everyone seems to have some type of AI offering,” said Hall. “Regulations and standards will likely become more demanding, and even with the shadow IT capabilities we have now, I worry that we may be underestimating how often AI technologies are actually used by our employees. And also, on the flip side, how can we best leverage these to make our lives easier?”

Manimbo noted that, with this rise in control frameworks and regulation, this year will also see a rise in demand for ways to demonstrate that one is aligned and compliant with them. The ISO 42001 certification, for which Schellman recently became the first ANSI-accredited body allowed to audit and grant certification for compliance with the standard, is one example, but he anticipated other avenues will open this year. “For example, I sit on the [Cloud Security Alliance] AI Control Framework [board], and they are launching a program scheduled for the second half of this year which is going to be very similar to their [Security Trust Assurance and Risk] program for cloud security but specific to AI risk. That’ll be another avenue,” he said. He added that other standard setters, like the AICPA, might also decide to update their frameworks to account for AI risk. 

Such demonstrations are vital for establishing customer trust in a world that is increasingly connected. Hall noted that supply chains have grown much more complex, which has allowed attackers new opportunities to target vendors or third party software providers and compromise multiple downstream organizations at once. In such an environment, establishing trust with a customer is vital, but it can often involve lengthy and tedious audits filled with manual processes. While she has had success with some automation, such as using AI to reduce time on customer questionnaires and automate access controls, there remain many things that still need human intervention. 

“I’ve definitely struggled with that, like where an auditor is asking for data sets, you’re coming back with a sample set, you’re bouncing back and forth from a tool to gather evidence, and it becomes even more complex when you’re dealing with customer audits and you’re talking to more than one auditor, and you can only reuse evidence for so long that evidence goes stale,” she said. “And then a lot of times, auditors have competing platforms and tools that may not integrate with yours. So it’s still a manual process. There’s a ton of back and forth communication there. I’m still copying and pasting, I’m still downloading from here and uploading to here. So I’d love to see this process improve,”  

Manimbo noted AI has also been helping processes like this, noting that AI can itself help bolster an organization’s controls through automating routine processes and reducing dependence on manual processes. 

“On this front, some of the things that have plagued us in the past is the amount of context that we need as professionals to know if something is something that needs to be addressed immediately as part of a control failure that may be detected. And I think AI will help provide that context there… It may not necessarily be [about] what the controls may be, but how efficient are the models in augmenting existing automation to find those failures in a way that we can effectively address those findings in a way that we can again improve on those and so hopefully reducing additional burden on a team members,” he said. 

However, with all these different frameworks coming out, and with current ones being revised to account for AI, professionals may be challenged in keeping up with all the changes. Professionals need to not only know how to apply these frameworks but also how to scale them as time goes on. Hall said that, by maintaining a security-focused mindset and being proactive, so that the organization is more able to respond to change. 

“If we build and buy with security in mind and find ways to leverage automation and AI to enable us to quickly adjust, … we’re just going to be way better off,” said Hall.  “Instead of looking at ‘here’s the strict regulation, here’s what I have to do,’ [it is] kind of this afterthought, by being more proactive and just having these things in mind. .. I think it’s about us having that mindset of: How is the security built in? How can I be accountable and prove that I’m doing what I’m doing? And think about that before the auditors show up and before the regulations show up.”

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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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