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The CFO’s role in navigating gen AI transformation

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Artificial intelligence, and generative AI in particular, catapulted onto the scene at lightning speed in November 2022. And today, 250 years after the first industrial revolution, experts believe we have entered the next (some say fourth, others fifth) industrial revolution as the latest advancements in automation and artificial intelligence (AI) are transforming industries and societies. This current industrial revolution is set to be one where humans and AI-powered technology will work hand in hand. 

In many ways, the effective adoption of AI, specifically gen AI, both in finance and across an entire organization, rests with each company’s chief financial officer. This has placed the CFO into the driver’s seat and at the forefront of company strategy. It is now within the CFO’s power to decide where to allocate resources and how to effectively integrate AI into their company’s daily activities. By striking the right balance between risks and growth opportunities, CFOs can navigate and manage genAI transformation, maximize returns from AI investment, and create value for organizations both large and small. 

The transformation pressure for CFO’s is firmly in place. And navigating and managing this transformation, both digital transformation and AI/GenAI, are the top two trends at the top of minds for CFOs and finance leaders, according to a December 2023 poll of the AICPA-CIMA Future of Finance Leadership Advisory Group. In addition to the focus on digital transformation and AI/gen AI, it is important to focus on the third-noted top issue of ‘Need for upskilling and reskilling.” The need for new skills like storytelling, data analytics, collaboration and strategic thinking are essential to elevate and accelerate finance and accounting teams to keep pace through these transformations.

I recently hosted a gen AI panel at the North America Finance Executives Summit, and along with two members of our AICPA-CIMA Future of Finance Leadership Advisory Group — Rachael Crump, chief accounting officer of Insight Enterprises, and Claire Bramely, CFO of Teradata Corp. — we addressed common misconceptions and barriers about AI, and shared AI implementation guidelines for CFOs and finance leaders to follow to ensure and enhance team efficiency, productivity, and accuracy. 

“While broadly being led by finance, it’s important for gen AI implementation to be a collaborative process. Ideas from [all over the organization] are important and keep the conversation on ways to implement open,” noted Insight’s Crump.

Key guidelines for CFOs to follow when implementing gen AI:

  1. Start small and start now: There’s a strong consensus among finance leaders on the need to initiate gen AI projects on a small scale. This approach allows for manageable experimentation and learning, reducing risk while gaining valuable insights. The repeated advice is to “just start” and “start somewhere,” emphasizing the urgency of engaging with gen AI without being overwhelmed by its scope.
  1. Prioritize data security and intellectual property protection: Security and protection of intellectual property are critical considerations. Ensuring that information is safeguarded while exploring gen AI capabilities is paramount to maintaining trust and compliance.
  1. Learn from others: The importance of learning from the experiences of others before diving in too deeply cannot be overlooked. This can help avoid common pitfalls and leverage best practices for more effective implementation.
  1. Build a roadmap and plan strategically: Developing a clear plan and roadmap for gen AI integration is essential. This includes organizing data, aligning initiatives across the organization, and focusing on areas where gen AI can deliver immediate value.
  1. Evolutionary, not revolutionary: Adopting an evolutionary approach to gen AI is advised. Move forward with incremental changes rather than attempting an overnight transformation. This method supports sustainable progress and allows for adjustments based on lessons learned.
  1. Finance as a key leader in gen AI implementation: The CFO and finance team should play a leading role in the adoption and governance of gen AI, leveraging its unique position to drive process improvements and analytical enhancements.
  1. Addressing skepticism and building support: Winning hearts and minds across the organization is crucial for successful gen AI initiatives. This involves addressing skepticism, demonstrating value, and ensuring there is a common understanding of gen AI’s benefits and objectives.
  1. Navigating through disillusionment: Prepare for questions about managing expectations and navigating through potential disillusionment with gen AI. The key is to maintain open dialogue, adjust strategies as needed, and keep focused on long-term goals.
  1. Emphasizing data quality and trusted AI: The quality of data and the trustworthiness of AI systems are foundational. Emphasizing trusted, safe AI practices and ensuring high-quality data inputs are essential for reliable and effective outcomes.
  1. Experimentation and value focus: Encouraging experimentation and focusing on use cases that offer tangible value are effective and recommended strategies. Starting with pilot projects can help demonstrate gen AI’s potential and build momentum for broader adoption.
  1. Engagement and involvement: There is a call to “get more involved” and to “just try it” that reflects a proactive stance towards gen AI, suggesting that hands-on engagement is key to understanding and leveraging this technology effectively.

When navigating gen AI-driven transformation within your organization, Teradata’s Bramley emphasized that, “It’s important to remember that the role of gen AI is a journey. Be evolutionary rather than revolutionary. This start-small, functional focus approach will ensure you gain value from your implementation.”  

The inevitability and transformative potential of generative AI in finance is unquestioned and advocating for a strategic, informed, and cautious approach to its adoption is key to success. For the CFOs driving AI strategy and implementation starting small, focusing on security, planning strategically, and building organizational support are essential steps toward harnessing Gen AI’s capabilities while navigating its challenges and opportunities.

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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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