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The future of group audits: Embracing technology and adapting to change

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In today’s globalized business landscape, with ever-increasing regulatory scrutiny, group audits have become increasingly complex. Emerging technologies are revolutionizing the group audit process with solutions to navigate the complexities and enhance audit quality.

With multiple entities, diverse operations and vast data sets to contend with, auditors face a daunting task in ensuring the accuracy and integrity of financial statements across the group. However, the rapid advancement of technology presents a powerful ally to auditors, offering game-changing solutions that are revolutionizing the group audit process.

What is a group audit?

A group audit is an audit of financial statements that includes the financial information of more than one component or entity. A group is made up of a parent entity and its subsidiaries, associates, joint ventures and any other entities whose financial information is included in the group’s consolidated financial statements.

Group audits are complex due to the diverse nature of the components, different geographical locations, varying legal and regulatory environments, and the need for effective communication and coordination among multiple teams. Auditors must carefully plan and execute group audits to obtain sufficient and appropriate audit evidence to support their opinion on the group’s consolidated financial statements.

Centralized data management

One of the biggest challenges in group audits is managing data from multiple sources across various entities. Traditional data extraction, consolidation and reconciliation methods are time-consuming and prone to errors. However, automation and data analytics tools offer a streamlined solution by centralizing data management and providing a unified view of the group’s financial information.

Robotic process automation can seamlessly extract and consolidate data from different systems and locations, ensuring consistency and accuracy across the group. Advanced analytics tools can then analyze this centralized data, identifying patterns, anomalies and potential risks that may have been overlooked through manual processes. This centralized approach enhances efficiency and provides auditors with a comprehensive understanding of the group’s financial position, enabling more informed decision-making.

AI-powered risk assessment and fraud detection

Assessing risk and detecting fraud across multiple group entities can be a daunting task, mainly when dealing with vast amounts of data. However, artificial intelligence is proving to be a powerful ally in this task. AI-powered tools can analyze vast data sets, identify suspicious transactions, and generate risk profiles for each entity within the group.

By leveraging machine learning algorithms, these tools can continuously adapt and refine their risk assessment and fraud detection capabilities, ensuring auditors are always ahead of the curve. Additionally, natural language processing can be used to analyze unstructured data, such as contracts and agreements, further enhancing the auditor’s ability to identify potential risks and red flags across the group.

Blockchain and continuous auditing

Blockchain technology offers a new way to improve group audits, making them more secure and open. Blockchain supports auditors checking transactions as they happen instead of reviewing them later. The approach, called “continuous auditing,” where financial activities are examined in real-time or very soon after they occur, differs from traditional auditing methods, where checks are done periodically, often annually.

The ongoing approach behind continuous auditing makes auditing faster and gives everyone involved a clearer view of what is happening, especially valuable in group audits. Because blockchain records can’t be changed once they’re made, auditors can rely less on manual checks, feel more confident that the financial information is correct, and can be relied upon across the entire group.

Regulatory compliance and legal considerations

As technology continues to reshape the auditing profession, governments and regulatory agencies are taking notice. With changing professional standards and increased scrutiny, auditors must stay ahead of evolving regulations to ensure compliance across the group.

The Security and Exchange Commission recently approved the Public Company Accounting Oversight Board’s amendments to two auditing standards, AS 1105, Audit Evidence, and AS 2301, The Auditor’s Responses to the Risks of Material Misstatement. These amendments address audit procedures, by specifying and clarifying “auditors’ responsibilities when the auditor uses [technology-assisted data analytics] tools in conducting audits.”

The PCAOB stated in a release that these amendments should help reduce an auditor’s reluctance to use technology-assisted analysis under existing auditing standards by clarifying auditor responsibilities in using reliable information in audit procedures and audit evidence for multiple purposes in addition performing tests of details.

In approving the PCAOB’s amendments, the SEC said the changes would modernize audit standards, address technological advancements in auditing, and align liability standards with other professional conduct standards. The updates are intended to enhance audit quality, increase investor protection and instill greater trust in financial markets.

Failure to adhere to these and other existing and evolving standards can result in significant fines and potential legal liabilities for audit firms and individual auditors. Regulatory bodies are increasingly utilizing advanced technologies, such as AI and data analytics, to uncover errors and deficiencies in group audits, making it imperative for auditors to prioritize compliance and implement best practices across the group.

Talent acquisition and skill development

The digital transformation of group audits demands a paradigm shift in auditors’ skill sets. While traditional accounting and auditing knowledge remains essential, auditors must also possess technical skills in areas such as data analysis, coding and cybersecurity.

To meet this demand, audit firms are actively recruiting candidates with diverse backgrounds, including data scientists, engineers and computer science graduates. In addition to heavily investing in technology, firms are focusing on upskilling and continuous learning programs to ensure existing auditors have what it takes to meet the transformational changes occurring in the audit profession.

Furthermore, soft skills such as collaboration and communication remain crucial in navigating the complexities of group audits. Auditors must be able to share information across multiple entities effectively, communicate findings to stakeholders, and address the complex relationships within the group.

What’s ahead

New technologies and the more complex and stringent global regulatory environment demand a paradigm shift in how we approach the complexities of auditing multinational entities.

As we embrace centralized data management, AI-powered risk assessment, blockchain-enabled continuous auditing and other emerging technologies, auditors are not just enhancing efficiency — we are fundamentally reimagining the audit process. These advancements offer unprecedented opportunities to improve accuracy, increase transparency and provide deeper insights into the financial health of complex organizations.

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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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