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PwC expects end-to-end AI audit automation within 2026

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Big Four firm PwC estimates that, at the rate they’re developing new solutions for their audit professions, complete end-to-end integration of AI in the audit cycle is about one year away. 

Speaking from the firm’s NYC office during a briefing, Shawn Panson, U.S. assurance transformation leader, said that end-to-end AI-driven automation should be expected sometime within calendar year 2026. This is because there already is, or soon will be, a tool for every step of the audit process from planning to risk assessment to walkthrough to evidence collection to testing to, finally, financial statement review and tie-out. Ultimately it is hoped that these tools will help both audit efficiency and quality. 

Right now, PwC professionals already have a tool for audit planning, Simplified Audit for Private Business, which he said “essentially helps the planning part of the audit” by ingesting prior year information and auto-populating a planning document that can be used as a foundation for considering a process’ compliance with AICPA standards. He said both saves time and enables auditors to ask better questions as they will better understand the changes that took place in a business since the last audit. It is specifically designed for auditors working with private company clients undergoing AICPA audits, versus public. This is the first year PwC auditors are using this tool as part of their planning. 

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PwC offices in London

Leon Neal/Photographer: Leon Neal/Getty Im

He added later that PwC plans to soon have a tool for the next step in the process, risk assessment, which he said will help people make smarter decisions about what is and is not scoped in the audit. 

For the walkthrough, PwC already has its Advanced Walkthrough Assistant, which uploads relevant information, including prior year walkthroughs and current year documentation, then analyzes it to generate a tailored work plan, standardizing the walk through process, highlighting if anything is missing or changed from last year, capturing key documentation of controls and risk and generating documentation for review. Jennifer Kosar, PwC U.S. assurance AI leader, noted this has traditionally been one of the more tedious parts of the audit process. 

“One, in large global organizations, [it’s] actually quite challenging to follow a transaction from inception to recording. And two, what you can probably imagine is people would ask, Well, why do I have to do it every year? Things don’t change that much in large organizations in terms of how things work, but we are required to do so, in fact, to determine that things have not changed,” she said. 

Panson said they also expect to have solutions for automated controls testing that will operate similarly to their current software for evidence matching, called Evidence Match.

Kyle Maryanski, PwC U.S.’s assurance partner and next generation audit leader, explained Evidence Match as an agent-led audit module that automatically extracts matching and validating evidence against documents. Integration with the assurance skills library allows the software to support testing in high volume areas like cash, accounts receivable and accounts payable. Each match includes a clear evidence trail and everything is documented and organized. 

Maryanski noted that this tool was designed not with the way audits ought to go in mind but the way they usually do in the field. 

“We had to build this not just to ingest a PDF. We had to ingest 20 different kinds of documents. The client may hand you a napkin! So we had to build these tools to fit the masses, what our clients do and the way we perform. I think that’s some of the challenges for building these well and building them right. [But] we’ve seen the confidence [is] there,” he said. 

Finally, said Panson, PwC is also planning to equip its auditors with tools to guide the financial statement review and tie-out portion of the process. Right now, the firm has a tool called Audit Innovation Hub which is currently being tested with certain asset and wealth management engagement teams, though they plan to expand the pilot in the near future. The tool automates and streamlines auditing tasks related to the financial statement tie-outs and various testing procedures related to non-registered fund-to-fund audits conducted under AICPA auditing standards. The platform automates certain portions of audit procedures by extracting, organizing, and testing financial data and documents. 

“So you see, for calendar 26, that is our hope. We have work to do but you can see how it all comes together for 26 in an integrated fashion,” he said, adding that these tools will then be built into “one global new agentic platform for all our practitioners across PwC and global assurance, which we expect to have our within the next year and a half after that.” 

He added later that this increasingly AI-driven approach to auditing has began shifting what they look for in entry-level hires. He said that “hopefully” accountants will walk a dual path of both CPA and data science or computer science. This is in addition to the hires that come purely from the tech and engineering world. 

“We’re definitely looking for different skills, as well as engineers that we’re now hiring that we would have never hired into the assurance practice before. Not all those people will definitely be dual track CPAs and those things, but we’re certainly looking for more of the dual track so people can serve both those purposes. I think it’s early days, but we’re certainly starting to see a shift,” he said. 

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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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