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Managing generative AI in your accounting firm

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Generative artificial intelligence, or gen AI, is a type of artificial intelligence that can create content, generate insights and even simulate human-like conversations. Gen AI tools like ChatGPT and Microsoft Copilot are transforming the business world and accounting firms.

While the technology offers many benefits, its rapid adoption also creates challenges for firm leaders. We’ve talked to many firm leaders who think they can simply block these sites at their firms or forbid employees from using them, avoiding the inherent risks. However, this approach is short-sighted and risky. This article explains why and offers a better alternative.
 
What is gen AI?

Generative AI refers to machine learning models that can produce new data similar to the data they were trained on. These models can create text, images, music and more, making them incredibly versatile tools. You might not realize it, but AI is likely already a part of your everyday activities. Here are some common examples:

  • Browsing social media. AI algorithms suggest content tailored to your interests.
  • Using digital assistants. Virtual assistants like Siri and Alexa use AI to understand and respond to your commands.
  • Online shopping. Websites generate personalized recommendations based on your browsing and purchase history.
  • Unlocking your phone. Facial recognition systems utilize AI for secure access.
  • Navigational apps. AI optimizes routes and provides real-time traffic updates.
  • Editing photos. AI tools enhance and modify images seamlessly.
  • Autocorrect and autocomplete. AI improves typing accuracy and speed.
  • Playing video games. AI opponents provide dynamic and challenging gameplay.
  • Auto-generated playlists. Music-streaming services curate playlists based on your listening habits.
Generative AI

The dangers of gen AI

While there are many benefits to using gen AI, it also brings several risks that firm leaders must address.

  • Data protection and privacy. AI systems often require vast amounts of data, raising concerns about how tech companies collect, store and use that data.
  • Ethical guidelines. We’re still working out how to ensure that AI operates within ethical boundaries to prevent misuse.
  • Industry-specific regulations. Because this technology is moving so quickly, accounting and tax-specific regulations haven’t yet caught up.
  • Data leakage. Protecting sensitive information from unauthorized access and leaks is a top priority. How can you stop employees from copying and pasting sensitive client or firm data into a Generative AI tool?
  • Intellectual property protection. AI-generated content can blur the lines of intellectual property rights.
  • Bias and discrimination. AI models can inadvertently perpetuate biases present in the training data.
  • Fake content and misinformation. Generative AI is prone to “hallucinations” or incorrect or misleading results. It’s easy to create realistic fake content without verifying authenticity.

Establishing usage policies and guidelines

Given the potential risks, firm leaders must develop comprehensive AI usage policies.

Proper guidelines help minimize the dangers of AI usage and give employees a reference point for ethical AI use. Trying to prohibit AI tools outright can lead to unauthorized use.

Consider the following findings from Microsoft and LinkedIn’s 2024 Work Trend Index Annual Report:

  • 75% of global knowledge workers are using generative AI;
  • 78% of AI users are bringing their own AI tools to work (BYOAI); and,
  • 52% of people who use AI at work are reluctant to admit using it for their most important tasks.

You don’t have to start from scratch — many of your existing data protection and privacy guidelines can be adapted for AI.

If you’re wondering where to start, create an exploratory committee to oversee AI implementation. This committee should include a cross-functional group of people from multiple departments and be led by IT. The committee can vet AI tools and opportunities, compare the cost to the potential ROI and establish priorities. This helps ensure a structured approach to implementing and using GenAI.

It’s also crucial to train employees, helping them understand how to ethically and responsibly use AI tools. This proactive approach safeguards the firm and empowers your team members to leverage AI’s benefits responsibly.

Generative AI offers firms exciting opportunities to accomplish more and free up employees for higher-value work, but it also creates challenges for CPA firms. By developing an AI usage policy, exploring AI tools in your firm and educating your team members on how to use AI responsibly, you can harness the power of AI while minimizing risks. Remember, while the technology is new, you likely established principles of governance, ethics and data protection long ago. Embrace the innovation, but do so cautiously and responsibly.

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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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