Connect with us

Accounting

A strategic approach to generative AI for accounting firms

Published

on

At all our Boomer Circle Community meetings lately, generative AI is a hot topic. Many firms are already harnessing artificial intelligence tools, including ChatGPT and Microsoft Copilot, for content generation, marketing, and internal communications like policies and press releases. But this is just scratching the surface of GenAI’s potential — use cases are expected to expand significantly in the coming months and years.

Whether you’re excited about AI’s potential or wish you could put the genie back in the bottle, AI is here to stay, so it’s essential to take a proactive approach.

What are the use cases in accounting?

The accounting profession has traditionally been slower to embrace groundbreaking technology, but many firms have already realized the potential of generative AI. Currently, firms use AI for:

  • Marketing and growth. AI-powered tools can create blogs, white papers, newsletters and marketing copy in a fraction of the time it would take a human. While AI-generated content needs a human touch for fact-checking and ensuring it captures the firm’s voice, this is a game-changer for firms looking to bolster their thought leadership or engage clients with regular content.
  • Internal policies and procedures. Instead of tasking team members with writing every internal document policy, firms can leverage AI to produce drafts. Again, these policies and procedures need human refinement, but it’s better than starting with a blank page.
  • Pinpointing trends and patterns. AI can quickly review vast amounts of data to pinpoint trends and patterns. This can help firms create more accurate and insight-driven forecasts.
  • Summarizing information. AI can quickly read and summarize information. Firms may use it to review contracts and pull out essential information, or to summarize the latest accounting standards or tax legislation, putting it into plain language.

While already adding value, these applications are just the tip of the iceberg. As AI continues to evolve, we can expect its role in the business world to expand into financial analysis, auditing support, decision-making assistance and more.
Educating employees is non-negotiable

Data security is one of the biggest concerns surrounding AI, particularly in our profession. AI tools rely on vast amounts of input data to produce meaningful output, but this presents significant risks if sensitive information — client details or firm-related data — is mishandled.

Generative AI

For this reason, educating employees about the safe use of AI tools is crucial. Firms must create clear guidelines on what not to share on public AI platforms.

It’s not enough to prohibit employees from using AI or blocking these platforms on your network, because employees will use AI tools whether firm leaders officially endorse them or not. If you don’t educate employees on the use of these tools, you’ll end up with shadow IT.

Leaders must establish firm policies and create a culture of transparency and safety around the use of AI.

Navigating the legal and ethical landscape

Legal concerns surrounding AI are evolving rapidly. Many potential issues remain unresolved, including copyright infringement, bias in AI-generated decisions and data protection. That’s why firms must stay up to date with regulatory changes and ensure compliance as new laws emerge.

For now, the best practice is awareness. Implement processes for the ethical use of AI, including reviewing and fact-checking outputs. After all, the firm — not the AI tool — is ultimately responsible for the quality and accuracy of work.

Start experimenting now

The worst strategy a firm can adopt is waiting for AI to “fully mature” before engaging with it. As technology has proven time and again, innovations like AI don’t arrive on a convenient timetable. By the time AI reaches a point where it’s impossible to ignore, firms that have been slow to experiment with it will face a steep learning curve. Those firms will be forced to scramble to catch up with competitors who have been investing in AI proficiency all along.

Start experimenting now with generative AI tools for simple tasks like drafting emails or blog posts. That way, you can develop a foundational understanding of how these tools operate. As AI capabilities advance, transitioning to more complex uses will be less overwhelming.

Remember, AI isn’t just for the leadership team or tech-savvy partners. Every individual in the firm can benefit from AI’s capabilities, from reducing time spent on routine tasks to enhancing creativity and productivity. However, for this to happen, leaders must actively promote AI exploration across the firm.

Consider forming an AI committee, or task your existing innovation team with identifying the most effective uses for AI in your firm. This group can explore current trends, run small-scale pilots and, most importantly, educate the broader team on best practices. By creating an environment where experimentation is encouraged, firms will be better positioned to reap the full benefits of AI.

Generative AI has the potential to shift how firms operate, increasing productivity and supporting more effective communication. But to leverage it effectively, we need to take a proactive approach. Start small, educate employees and stay informed as generative AI develops so you can position your firm for future success.

Continue Reading

Accounting

Continuous Auditing Transforms Corporate ERPs

Published

on

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.

Continue Reading

Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

Published

on

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.

Continue Reading

Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

Published

on

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.

Continue Reading

Trending