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How AI is redefining roles, creating new value in accounting and tax

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Each time a new tool enters the accounting profession, it tends to follow a familiar path. 

At first, it is met with skepticism as professionals assess how it will impact their work and the broader profession. Then comes a period of cautious interest, where early adopters curiously explore its potential. Eventually, the tool is gradually accepted as its value to the industry becomes clearer. We’ve seen this pattern play out with spreadsheets, tax software and cloud-based systems. Now, artificial intelligence and automation are representing the next step in that evolution, bringing the same initial uncertainty while holding the power to once again transform the profession for the better. 

AI is no longer just a distant concept, as we’re already seeing it reshape day-to-day functions within accounting. From processing data entry, invoice coding, bank reconciliation and tax compliance, tasks that once required hours of manual effort are now increasingly handled by AI. These tasks, while essential, are time-consuming and prone to human error. 

With AI, firms can dramatically reduce those risks and speed up processes with greater accuracy. For instance, invoice data can be captured and coded automatically using optical character recognition, while smart bank feeds and rules-based automation can reconcile transactions without the need for manual matching by drastically reducing the time your clients spend on account payables. With the right tools, they can scan invoices, automate approvals and schedule payments in just a few clicks, freeing them up to focus on running their business instead of chasing paperwork. 

This automation isn’t just about efficiency, it’s about redefining the accountant’s role, shifting the focus from repetitive, rules-based tasks to higher-value work like data interpretation, client advising and developing financial strategies that drive business growth. As accountants have more time freed up from mundane and time-consuming tasks, they have the opportunity to step more fully into an advisory role, one that’s increasingly in demand as clients more frequently look to their accountants for strategic insights. 

Much like the cloud revolution a decade ago, which introduced real-time collaboration, remote work and integrated workflows that made firms more agile, this transition to AI builds on that momentum. It delivers deeper insights and faster decision-making, ultimately transforming not just how accountants work, but what they can offer. 

Delivering more value in real time

The most successful firms today are using AI tools not just to save time, but to unlock new areas of value for their clients. Instead of only looking backward with compliance reporting, accountants can now look forward, offering insights into business trends, modeling future scenarios and guiding clients through uncertainty. Accounting software providers are actively investing in AI-driven features to streamline operations and enhance advisory capabilities. AI-powered forecasting tools can analyze cash flow patterns and predict future shortfalls or surpluses, while automated tax planning tools can simulate various scenarios to help clients optimize deductions and minimize surprises come tax season. 

This positions accountants not only as financial stewards but as strategic advisors, as AI enables them to shift from reactive to proactive support. As client expectations evolve, so too must the services firms provide. Clients are no longer content with one-time, year-end tax support. They want real-time answers, ongoing guidance and a proactive partner who helps them stay ahead of regulatory, economic or operational changes. Meeting these expectations requires firms to embrace this technology as a tool to deliver deeper value, as opposed to a threat to their business or jobs. 

Building client relationships

AI enables firms to deliver on rising client expectations, but it’s the human connection that truly strengthens those relationships. Real-time data analysis tools now allow for more frequent and meaningful check-ins, while automated alerts flag unusual spending patterns or missed payments. However, it’s crucial to remember AI doesn’t replace the client relationship, it enhances it. While AI tools can provide deeper insights in a quicker manner, they can’t replicate the trust and empathy that comes with human relationships. By removing repetitive, time-consuming tasks, accountants gain more time to build trust, answer strategic questions and help clients plan for the future. 

That’s why soft skills are more important than ever, as accountants need to have strong communication skills and be critical thinkers and active listeners. They’re the crutch to help clients translate complex financial concepts into relatable language and confidently guide them through major business or financial decisions. Many firms are already investing in training to develop these human-centered capabilities alongside technical expertise because as automation grows, it’s the accountant’s insight, empathy and ability to build lasting relationships that will make the difference. 

An opportunity for smaller firms

Smaller firms, in particular, have a lot to gain from the AI shift. With leaner teams and tighter budgets, it can be difficult to match the range of services offered by larger firms. Automation helps level the playing field by enabling smaller practices to take on more work with fewer resources, which can reduce burnout and allow them to expand into new offerings. With the right tools, even a small firm can deliver insights that rival those of much larger competitors. 

As firms lean into this shift, it’s critical to keep in mind that AI is only as valuable as the quality of the data it receives. Inaccurate or incomplete information can lead to poor analysis and misguided recommendations. While AI can identify patterns, it can’t explain the underlying causes or context, that responsibility still falls to the accountant. The firms that will thrive during the AI era are the ones that will also build in the oversight, quality control and human insight to use it effectively. 

Transforming the accounting journey for firms and clients

Firms also need to consider how to implement these tools thoughtfully. Automation works best when paired with clear processes and staff training. While any firm can implement AI software, it’s crucial to think through how it will evolve how the firm operates based on current limitations, partnerships and 

more. This also expands beyond just the mundane tasks discussed earlier, it also has the potential to transform areas such as onboarding, billing, compliance and planning. AI can streamline the entire client journey — but only when it’s integrated with purpose and intent. 

These tools don’t just enhance client services, they also create internal efficiencies for accounting firms. AI can help onboard new employees more quickly by standardizing processes and training materials. By automating recurring internal tasks like generating month-end financial packages or drafting client summaries, firms can increase productivity, reduce manual errors and free up time for more strategic, high-value work. 

Despite the influx of technology we’ve seen over the past several decades, the core mission of the accounting profession hasn’t entirely changed. It’s still about helping people understand their finances, make informed decisions and plan for what’s next. AI can enhance that mission, but it doesn’t replace it. 

Accountants have always adapted: from paper ledgers to spreadsheets to the cloud. AI represents the next chapter of this journey, one that has likely the greatest potential to strengthen the profession and elevate its impact even further.

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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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