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Speakers: AI can be complex but starting out can be simple

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While virtually every accountant by now has heard the exhortation to use AI in their practice, many remain mystified as to how to even get started. Speakers at Woodard’s Scaling New Heights conference in Orlando noted that while using AI certainly can be complicated, even simple applications can have impressive results. 

TJ Lewis, innovation strategist with accounting-focused cloud services provider Rightworks, said that the best way to familiarize yourself with AI is to simply use AI, not only at work but personally as well, adding that “it really is that simple.” 

“Because, really, until you use it you can watch all the videos you want but it [won’t] get to the point where you’re understanding how it works and how to interact with it. It can still feel a little formal. I think you won’t understand what it can do for you,” he said. 

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But use AI how? For those who have no idea how to even get started with AI, he said a good place to start would be simply asking it to help you write an email. He said to take a message from a client (with personal details removed, if using a public model) and copy it into ChatGPT or a similar model and “just say ‘help me with this.'” Whether it actually helps answer a client query or simply makes your reply sound better, it will be useful. He added that people could also use it for personal things like “plan my summer vacation, where should I go?” or research like “summarize a piece of legislation that comes out, give me the three key points that I need to be able to communicate to clients.” 

“Anything like that. There’s very easy ways to start. And I think often people are overcomplicating it, they go ‘I have to make it do all these wonderful things,” he said, noting the importance of resisting this thought. 

Another speaker, Ariege Mishergi—the senior vice president and general manager of AP, AR and the accountant channel for payments solution provider Bill—made a similar point during her own presentation, saying that even if one is intimidated by some of the more advanced uses of AI, there are a number of simple use cases that firms can implement for great results, especially if they’re new to the technology. 

“Start with areas that are repeatable and predictable processes, things like AP automation, data extraction, routine client communications. These are really, really low hanging fruit, where AI can deliver immediate value,” she said. 

Lewis noted, though, that even with these simple use cases many firm leaders still hesitate. The most common concerns he has seen are privacy risks for both the firm and the client, lack of transparency in the way the models work, the risk of biased results, as well as questions over how much they can really rely on the bots. In such cases, Lewis said having guardrails can do much to set minds at ease. He urged firms to develop AI policies outlining how the technology should and should not be utilized in order to bolster security, reduce liability, and set the right tone for responsible use. 

Mishergi said that another way to ease into AI and overcome anxiety is to select solutions that suggest, rather than apply changes, which ensures the human always remains in control. Over time, as their comfort builds, they may trust bots to do more on their own, “but as a starting point, maintain that control and look for AI suggestions.” 

So then, once a firm is more comfortable and familiar with AI, what would be the practical steps to integrate it more fully into its workflows? Lewis said the first thing to do is to designate someone in the firm as responsible for understanding what AI is capable of and how it fits within the practice, an “AI champion” who he said should be “inspirational, motivational, etcetera, but also really understands what goes on in your firm because they’re going to be the ones helping across the board.” 

Mishergi said it all starts with the tech stack. Only about a third of accountants require clients to use their recommended tech stack, something that she said may be client friendly but is holding firms, as “without a unified tech stack you’re constantly reinventing the wheel,” as the firm must constantly adapt to their technology. 

“If your practice is bouncing between different tools your clients prefer, like without any uniformity, it’s going to be increasingly difficult for you to scale and to incorporate new technologies. So as a starting point, almost as a step zero in this conversation, start working toward having a single, unified tech stack in your practice. If you want to scale, standardize: that’s the foundation for AI,” she said. 

Similarly, Lewis pointed out that the more data an AI has access to, the more context it can account for, which means the better the quality of its outputs. 

“I was talking to a firm that said, you know, they’re dealing with 20 some applications that their client information is in. Whether it’s your practice, your tax office or your general ledger the more that we can pull all this information from across the board into something where they’re all connected… If we can do that in a secure way, we can mine all that information for responses, that’s incredibly powerful,” he said.

Just as vital to Mishergi is choosing the right partner. With so many vendors offering so many flavors of AI today, it can be difficult to determine who is reliable to work with, so she suggested starting with the basics. How well do they protect client data? Do they work with your existing tech stack and apps? Does their solution solve real problems, or does it just look good in a demo? And how much human oversight is there and can humans override the system when needed? 

“But what I really think separates the good from the great is choosing partners who really get accounting professionals: your work, your relationships, your clients, your employees, your goals. They really understand. I’ve seen too many well intentioned teams over promise and under deliver, because they just don’t totally understand the history of this profession. Look for companies with a proven track record in this space, the ones who’ve consistently been solving problems that are actually in your core areas of challenge. One key way to do this is to listen to how company leadership, particularly founders and CEOs, talk about you, talk about accounting professionals. Do they treat you like a user persona or like a partner in a mission?” she said. 

As one gets deeper into AI, she said ultimately firm owners should reconceive their own role and the role of their professionals. While traditionally accountants are in the business of execution tasks, as AI becomes capable of handling more and more jobs, the humans will slowly transition into more orchestration and coordination of tasks that AI will execute. 

“As AI helps you shift away from the role of a manual processor, you’re going to find yourself playing the assistant orchestrator role. You’ll be designing and directing systems that work on your behalf. Now your new value becomes twofold. This is your new value proposition. It’s first the ability to configure the right AI workflows for each of your clients needs, and that requires an understanding of the technology, the tools, of course, of the profession and also of the client. The second is your ability to apply judgment with context and trust on the things that can’t be automated. And with AI managing the mechanical, you get a lot more space with the analysis and for the relationship building,” she 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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