Connect with us

Accounting

Designing an AI-ready accounting function: 5 steps for the future of finance

Published

on

As artificial intelligence rapidly reshapes the finance landscape, accounting leaders face a pivotal moment. 

Processing Content

The path forward is clear: Accounting functions must become AI-ready, moving beyond incremental automation to a future state where technology and talent work seamlessly together. For accounting, where the primary product is accurate, timely and relevant financial information, the AI shift has especially significant implications.

At the Gartner Finance Symposium/Xpo 2026, Gartner experts will share five key imperatives for building an AI-ready accounting function that can help organizations move into the next phase of technology-led transformation in accounting.

1. Extend AI-ready accounting into automated, continuous processes

The foundation of an AI-ready accounting function is the shift from periodic, manual processes to continuous, machine-driven operations. In this model, activities such as reconciliation, adjustment and financial reporting are largely automated, enabling a continuous, on-demand or even autonomous close. This not only accelerates the pace of reporting, but also improves accuracy and transparency. Accountants oversee and extend automation, focusing their expertise on exception handling, insight generation and decision support, the areas where human judgment remains essential. The more routine activity becomes embedded in systems, the more capacity accounting teams create for judgment-based work.

2. Recognize digital talent and upskilling as essential

By 2030, Gartner predicts 90% of finance talent will need digital skills, with accountants expected to build, manage and optimize technology tools. This is a dramatic shift from today, where less than 30% of finance teams are considered digital talent. Upskilling is critical, not just in using advanced tools, but in understanding how AI and automation can transform workflows. Organizations must invest in targeted training, hands-on experimentation and peer learning networks to close the digital talent gap and empower their teams for the future. In practice, this means developing not only advanced technology users, but also people who can build, modify and manage finance data and technology capabilities.

3. Embrace new accounting roles and team structure

The composition of accounting teams is changing. As automation handles routine tasks, organizations will need fewer entry-level accountants and managers, but more skilled individual contributors who are adept at technology work. In many functions, the traditional talent pyramid is likely to become a smaller “talent diamond” over time, as the majority of transactional work is reduced, and roles shift toward oversight, analytics and technology work. New roles are emerging, such as model builders who create and refine AI algorithms, and AI investigators who monitor and optimize system performance. These technology-first roles are essential for developing, maintaining and improving AI systems, and they will become increasingly central to the accounting function.

4. Evolve controllers into finance information orchestrators

The role of the controller is evolving into a finance information orchestrator. Controllers must model technology adoption, partner closely with IT and owners of upstream data sources, and focus on data flow and system integration. Their expertise in financial data remains crucial, but the emphasis shifts to ensuring data integrity, championing technology acceptance and designing roles where accountants leverage AI-generated outputs to create insights and support business decisions. In practice, that means leading collaborative data management, driving integration across systems, helping the team adopt technology more confidently and defining roles that support stronger business partnering work. Controllers must also facilitate collaboration across finance, IT and business units to drive successful AI adoption.

5. Accelerate AI adoption through hands-on experimentation and tailored upskilling

Traditional training alone is not enough to prepare teams for AI. Leading organizations accelerate AI adoption by facilitating hands-on experimentation, collaborative problem-solving and peer coaching. For example, structuring learning sessions around real work challenges and mixing employees of varying AI maturity levels helps build confidence and practical skills. Rather than treating AI training as generic instruction, effective leaders ground learning in the actual friction points employees face in their daily work and give teams room to test solutions together. Tailored learning plans and ongoing feedback loops ensure that upskilling efforts are relevant and effective, supporting both career growth and organizational transformation.

Moving forward

Building an AI-ready accounting function is not a one-time initiative. It’s an ongoing journey that requires deliberate action, investment and leadership. By embedding automation into core processes, prioritizing digital talent, embracing new roles, evolving leadership and fostering a culture of experimentation, accounting teams can position themselves at the forefront of finance transformation. The organizations that act now will be best equipped to deliver timely, accurate and strategic insights in the AI era, while creating roles where accountants focus less on manual processing and more on interpretation, oversight and better decision support.

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