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Will auditors embrace AI or fall behind?

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The traditionally static field of auditing is on the edge of an industry-changing transformation, thanks to AI. 

As pattern-learning AI machines quickly incorporate themselves into industry after industry, auditing is next in line. Industry giants like the Big Four and Wolters Kluwer are already using AI in their reporting functions. According to a Thomson Reuters Institute 2024 survey of audit professionals, 74% of firms are considering adding progressive technologies like generative AI to their auditing workflows. 

As more firms and companies adopt AI in their accounting processes, it signals a significant step toward a new era in which intelligence technology can take over tasks that are too time-consuming and repetitive, allowing for more complex tasks from human counterparts.  

Rather than resisting, the industry should welcome this evolution. AI is not a replacement but a partner, enhancing the value auditors bring by handling routine tasks with precision, allowing professionals to focus on areas where human judgment and creativity are irreplaceable.

Where AI fits into the current state of auditing

The average auditor typically spends their days conducting data analysis, monitoring for fraud, reviewing accounts, gauging risks and financially planning accounts. However, firms are struggling to keep their employment up, snowballing into less accurate data reporting. 

According to Forbes, in 2023, 720 companies cited insufficient staff in accounting and other related departments as a reason for data errors being up more than in previous years. 

Even as roles in finance continue to rank among the top earners in the job market, less and less qualified professionals are interested in taking on all of the tasks this career entails. This leaves high-level and top-paid professionals juggling repetitive tasks, day in and day out, eating up time that could be utilized in better ways. It’s no surprise that the main conversation around careers in finance is centered upon work-life balance or the lack thereof. As workplace demands continue to rise, so do simple data-error mistakes. 

When incorporating AI into the auditing process, we’re able to better predict security anomalies and solve the answers to repetitive, time-sensitive data needs. For example, instead of waiting until the end of each month for irregularities, AI systems can provide real-time updates. 

New workplace dynamics

Auditors are no longer confined to static reports; they now have the power to leverage AI for real-time analyses, instant anomaly detection and precise financial risk forecasting — capabilities that are revolutionizing the field today. By automating routine tasks, AI empowers auditors to dedicate their expertise to high-value areas like complex financial planning and strategic advisory, where human insight remains indispensable.

Moreover, advances in technology are reshaping how auditors interact with financial data. Instead of relying on accountants as intermediaries, auditors can now engage directly with a company’s data through intuitive, AI-powered interfaces similar to chat support. These systems enable auditors to ask questions and receive immediate, precise answers, streamlining workflows and enhancing their ability to deliver timely, actionable insights.

By automating repetitive processes, firms can allocate more resources to addressing complex challenges that demand advanced analysis and strategic thinking. This shift enhances the depth and accuracy of client engagements, enabling faster, more insightful feedback and stronger client relationships. Additionally, these innovations drive higher standards of service delivery, positioning firms as forward-thinking leaders in the field. 

The skills needed to keep up

While AI’s ability to automate routine tasks allows professionals to concentrate on more strategic, high-level responsibilities, it also introduces new challenges that must be addressed. As technology continues to evolve, navigating these obstacles will be key to ensuring long-term success and innovation in the industry.

Organizations urgently need to prioritize upskilling their workforce, with 23% of finance professionals highlighting the lack of training in critical infrastructure. Without addressing this gap, even the most innovative technologies risk underutilization, hindering the industry’s progress toward a secure and data-driven future.

Additionally, the finance industry must focus on strengthening data security measures and upholding ethical standards in the use of AI systems. If these areas are ignored, the industry risks eroding trust, facing heightened vulnerabilities and compromising long-term innovation. 

Despite these hurdles, the move toward AI-driven workflows signals the dawn of a new era, where collaboration between advanced technology and human expertise drives innovation and redefines the value of financial professionals in a rapidly changing landscape.

Embracing the impact

AI could be coming for the audit industry, not as a threat, but as the greatest asset of this new era. The value of adding AI to the audit process goes beyond efficiency, but solves a bigger industry problem as a whole. 

If institutions want to stay ahead, the answer to their problems is right in front of our faces, and slowly being incorporated into the workflows of industries across the landscape every day. We shouldn’t run from this innovation, but instead embrace it and prepare our workforce for the skills needed to thrive in this new world. 

As we embrace innovation and AI, our employers and customers will thank us.

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Accounting

Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

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Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

Corporate accounting departments face an expanded regulatory mandate as mandatory sustainability and Environmental, Social, and Governance (ESG) reporting frameworks take full effect internationally. Governed by the European Union’s Corporate Sustainability Reporting Directive (CSRD) and the International Sustainability Standards Board (ISSB) IFRS S1 and S2 standards, enterprise financial controllers are now legally required to track, verify, and report non-financial data with the same internal controls and auditability as traditional financial statements.

The expansion shifts ESG compliance

This regulatory expansion shifts ESG compliance from marketing departments to corporate accounting offices. Financial managers are now responsible for gathering, consolidating, and verifying carbon emissions metrics, supply chain labor conditions, water usage, and climate risk exposures across multi-tiered corporate structures. These non-financial metrics must be integrated into standardized general ledgers to withstand rigorous third-party audit assurance processes.

To comply with these rigorous reporting mandates, accounting software providers have added dedicated ESG modules designed to aggregate data from IoT sensors, utility platforms, and vendor management systems. Controllers are implementing internal control frameworks—modeled after traditional COSO frameworks—to ensure the completeness, accuracy, and consistency of sustainability disclosures, protecting organizations against greenwashing penalties and litigation risks.

The transition requires significant cross-functional collaboration between accounting teams, legal counsel, and operational directors. Accounting professionals are expanding their technical expertise beyond financial ledgers to master carbon accounting methodologies, lifecycle assessment standards, and non-financial data governance protocols, fundamentally expanding the role of the modern corporate accountant.

Why This Information Matters
Mandatory ESG disclosures require companies to treat environmental and social metrics as audited financial records. Executives, accountants, and board members must institute formal tracking and assurance processes to satisfy legal mandates, maintain investor confidence, and mitigate regulatory non-compliance risks.

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Accounting

SEC’s Semiannual Reporting Proposal Faces Investor Pushback: What CFOs Need to Know

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U.S. Securities and Exchange Commission (SEC)

A proposal from the U.S. Securities and Exchange Commission to potentially shift some public companies away from quarterly financial reporting toward a semiannual model is drawing significant pushback from investors, even as it continues moving through the regulatory process. The debate has direct implications for corporate finance teams, auditors, and the broader transparency of U.S. capital markets.

What the SEC Proposed

According to a summary published by accounting advisory firm Cohen & Co., the SEC issued a proposed rule on May 19, 2026, aimed at simplifying financial reporting requirements for many U.S. public companies. The proposal would potentially reduce the frequency of certain mandatory disclosures from quarterly to semiannual, a structural change that has not been made to core U.S. reporting requirements in decades.

The proposal follows an extended debate within U.S. policy circles, with proponents arguing that reduced reporting frequency could lower compliance costs and free up management time for longer-term strategic planning rather than quarter-to-quarter results management.

Why Investors Are Pushing Back

Comment letters submitted in response to the proposal have been extensive, and according to Cohen & Co.’s review of the public record, investors “appear to be largely opposed” to the shift, viewing frequent interim reporting as a core benefit of U.S. capital markets relative to other jurisdictions.

Accounting and law firms have taken a more measured position, generally urging any changes to remain aligned with the Financial Accounting Standards Board (FASB), whose existing disclosure requirements and guidance are built around a quarterly reporting cadence. A shift to semiannual reporting without corresponding changes to FASB guidance could create friction between SEC filing requirements and GAAP-based disclosure expectations.

Lessons From the U.K. Experience

The debate is not without precedent. The United Kingdom moved away from mandatory quarterly reporting for listed companies in 2014, returning to a semiannual disclosure requirement. According to Cohen & Co.’s analysis, that experience offers a cautionary data point: there was no measurable increase in capital expenditure or R&D investment following the change, while analyst coverage of affected companies declined as reliable interim information became less available — a particular risk for smaller and newly public companies that rely on analyst coverage to maintain investor visibility.

Practical Implications for Finance Teams

Beyond the debate over disclosure philosophy, the proposal carries practical complications. Many companies have debt covenants and credit agreements structured around quarterly financial delivery; a shift to semiannual reporting could require renegotiating those terms. Reduced reporting frequency would also extend the “window of market silence” between disclosures, a factor that governance and investor-relations teams would need to manage carefully to avoid information asymmetry.

Separately, and unrelated to the reporting-frequency debate, the SEC and FASB have continued finalizing more routine updates this year. New Accounting Standards Updates are taking effect for December 31, 2026, fiscal year-ends covering income tax disclosures, credit loss measurement, induced debt conversions, and stock compensation, according to Eide Bailly’s review of 2026 ASU activity. Additional guidance on paid-in-kind dividends and environmental credits is also on the near-term horizon.

What to Watch Next

The semiannual reporting proposal remains in the comment and review phase, and no final rule has been adopted as of this writing. Finance leaders should monitor the SEC’s regulatory agenda for further movement, while treating the current quarterly reporting requirement as the operative standard until any final rule is issued and an effective date is set.

Given the extent of investor opposition documented in the comment file, a full shift to mandatory semiannual reporting appears more likely to result in either a scaled-back compromise or continued study rather than swift adoption — though the SEC’s ultimate direction remains uncertain.

 

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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