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AI in advisory: Estate planning

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Estate planning, like any advisory service in the accounting world, is concerned with dollars and cents. But, like other advisory areas relatively resistant to AI disruption, it is also concerned with human relationships and feelings connected with what is typically understood to be a very emotionally sensitive topic: death. It’s not even a question of whether or not AI could do an estate planning engagement on its own but whether the client would even want it to. David Nelson, an estate planning specialist with top 25 firm Aprio, noted that the highly personal nature of estate planning means it would be difficult to consider AI taking over the process. 

“Some mathematically driven fields may see automation sooner. Estate planning, however, is highly personal. At the end of the day, you’re sitting down with someone to talk about their mortality. There’s intrinsic value in human interaction for discussions like that,” said Nelson. 

Nelson himself said he has been using AI primarily as a way to synthesize information sources in order to produce an analysis of the tax ramifications of a given plan, which in turn also helps with developing plans based on the data they find. He also uses it to analyze documents, particularly long and dense ones, that can help spot issues that the humans missed, such as contradictions in the plan itself or conflicting effects from its various provisions. 

Review of investment plans and funds for the purchase of assets and real estate.

Overall, Nelson treats AI as a research tool. Looking at his field overall, he said that the estate planning world has picked up the technology, but not as deeply or as fervently as other specializations. People use AI tools fairly regularly for analysis or plan development, but it’s not a dominant part of the practice. It is not even used in the calculations. While no one is using paper and pencil to determine estate tax implications, professions are still mostly using “legacy number-crunching software.” Part of this might be because, so far, he has not seen an AI model that can perform the level of analysis he and professionals like himself do regularly. “On our end, AI is still a tool to guide analysis. But as far as I’ve seen, AI can’t yet produce the kind of comprehensive analysis we need. For example, if a client comes in with an estate plan that includes various assets—an S corporation, marketable securities, a C corporation, and trusts to hold portions of those assets—the tax implications of each are different. The complexity increases when you factor in a trust as an owner. AI isn’t yet able to aggregate and synthesize all of those issues into a cohesive analysis,” he said. 

(See our feature story, “Staying ahead of AI.”)

Hanna Dameron, an attorney with law firm ArentFox who has spoken at accounting conferences on the role of AI in estate planning, added that AI is not at the point where it can understand the complex human relationships and social factors that drive many engagements. She said you could take two different clients with the exact same assets and the exact same number of children and there may be 15 different plans that could be appropriate for them depending on things like how they feel about their various family members, how they view future investments, how they want their children to access their money, and more. Walking clients through this requires the emotional intelligence to understand their goals and explain to them in plain language how they could make a plan to accomplish them. She did not feel confident AI would be able to handle these emotional complexities just yet. 

“Estate administration is a very emotional process. If you have the family members squabbling over who gets grandma’s painting, you can certainly see a need for a human to come in and help mediate those disputes. But it’s also just the emotional process of ‘somebody’s got to go through the boxes and figure out where this asset might be’ or ‘there’s an insurance policy we never heard about. How does that make me feel that this family member never told me about that insurance policy?’ So, it’s not just dealing with the administration of dollars and cents. You’re looking at a deep financial portrait of somebody’s life and what they’ve left behind. And there can be a lot of emotions and questions that come up in that,” she said. 

(Read more: AI in advisory: What work is at risk?)

She noted that she speaks from experience, having shifted into estate planning after the death of her own mother and being the executor of her will, which was a difficult experience both emotionally and administratively. 

 “It made me feel very passionate about helping families set up a plan and then administer the plan with compassion and emotion. So, I think, when somebody is in a grieving state, of course, they want somebody to talk to, not just about sorting out what they’re dealing with, but also dealing with a legacy,” she said. 

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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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