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EY assurance professionals get access to AI agents

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Big Four Firm Ernst & Young is globally embedding enterprise-scale agentic AI into its assurance engagements, meaning that all audits will now use the technology in its firms worldwide. 

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The firm is directly embedding a new multi-agent framework — integrated with Microsoft Azure, Microsoft Foundry and Microsoft Fabric — into EY Canvas, its global assurance technology platform which has since been enhanced to support a number of AI use cases for auditors. This overall agentic integration immediately embeds AI in all phases of the audit globally, which is meant to tailor workflows to engagements, streamline processes, provide additional insights and generally improve the audit experience. 

On a practical level, this includes new capacities like enhanced project management and administrative task automation, such as such as assigning tasks, requesting information or drafting review notes, as well as summarizing audit documentation, such as all conclusions documented related to one specific matter throughout the audit file. This is in addition to search and summarization of relevant accounting and auditing guidance.

Within this year, they also expect the platform to do things like document reconciliations to external evidence and assist teams with drafting standard workpapers. Marc Jeshonneck, global assurance transformation leader with EY, said it is not just about accelerating existing audit steps but fundamentally changing how audits are executed end-to-end. 

EY's London office
The EY offices in London.

Jack Taylor/Photographer: Jack Taylor/Getty

“The key design principle was to embed AI directly into the audit platform, so our auditors aren’t having to navigate several separate tools, move around files, repetitively provide context in long prompts or switch between applications. It’s one assistant, built into the audit platform itself, using a multi‑agent framework that orchestrates the underlying AI capabilities and thereby seamlessly takes care of routine, repetitive and administrative steps that sit behind an audit. This allows auditors to focus on risks including areas requiring professional judgement and it elevates their experience. That approach embeds the technology to adapt to the audit workflow, rather than forcing auditors to adapt to the technology,” Jeshonneck said in an emailed statement. 

This new approach to the audit process will also require new training on how best to apply it. To this end, EY announced a global training program to further upskill all of its global audit and technology risk professionals this year. The structured program will include immersive and in-person learning and will be continuously updated in line with developments in regulation, technology and methodology. 

Jeshonneck, though, said the training is not to turn auditors into prompt engineers and data scientists, as the platform is designed to be intuitive, with additional support available when needed (e.g. embedded short videos explaining platform features.) While, yes, it will include training on the technology itself and how it is applied, more of the focus will be on how to use AI responsibly in order to augment the skills and judgement of auditors as capacity shifts from legacy tasks towards higher value work. 

“Extensive work has been carried out to redesign training, including virtual and in-person events, self-service materials and well-equipped coaching and expert networks across the globe. All the training will continuously be updated as the capabilities expand, and we will make use of technology to deliver training such as by using simulations and adaptive learning,” he said. 

He described this new development as the latest in a journey begun four years ago to create what he said would be the next generation assurance technology platform. This release, he said, is the result of several years worth of development, testing and feedback from real world use, with EY effectively acting as “client zero” for all these new capacities. 

“We were able to determine which, how and where agents genuinely add value; the level of required training support, and human review; and how to design and operate controls so outputs are transparent, reliable and reviewable. These are just some examples of us following EY’s nine principles of responsible AI,” he said. 

And they are not done. Ultimately, it is expected to support all end-to-end audit activities by 2028. When asked what the human would do at that point, Jeshonneck said their work would evolve but remain intimately involved with the audit process. 

“Ultimately, the role of humans is elevated, as they will still own decisions, build on their experience, form their expectations, review outputs, challenge anomalies and lead client conversations. We know that the work auditors do has to evolve given the changing technological and regulatory landscape, so demand for early career professionals with accounting knowledge remains, as we combine it with the power of technology. Furthermore, the complexities associated with providing assurance on AI are dynamic and still emerging, creating new — not less — demands for audit teams,” he said. 

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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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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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