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97% say CPA firms not using tech efficiently says survey

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While CPA firms far and wide have made major technology investments over the years, the vast majority of accountants say they’re not being used to their full potential. 

This finding comes from a recent survey undertaken by CPA.com and payment solutions provider Bill. The 400-person poll found that nearly all respondents, 97%, say they use technology inefficiently and that additional training is needed to maximize return on investment. Further illustrating the point, 43% of respondents said that technology is making them do more manual work, not less, something. Becky Munson, an Eisner Amper partner specializing in outsourced accounting services, believes this reflects a failure of training and change management, as she has seen many who disliked a technology change develop manual workarounds specifically to avoid using the new solutions. 

“We see employees make workarounds with tech stacks, which makes headaches that I think align with this 43%. We train people on new things, we ask them to use them, and they keep doing what they were doing before and only use the technology as much as they have to [in order to] move things along while you have people well trained on the software keeping up,” she said in a webcast on Thursday about the survey. 

Inefficient

Ariege Misherghi—senior vice president and general manager of accounts payable, accounts receivable and the accountant channel—said the issue isn’t just because of firms but also vendors that don’t provide enough support, and may not necessarily understand the profession in the first place. 

“Too often I think tools aren’t fully aligned with the workflows they’re meant to support. In SaaS they talk about product-market fit, but in this profession it’s not just that but also product-firm fit, and maybe product-profession fit. Not every tool marketed to accountants was built by people who truly understand how this profession works: the rhythms, the regulations, the stakes, the relationships, all of that. And even the greatest tools can fall short if they’re not implemented with a deep understanding of how firms really operate,” she said. 

And sometimes the inefficiencies come from both sides at once: the survey found that only 37% of firms require clients to use their tech stack, something that Munson said “breaks my heart” as “it is so low.” A streamlined, established tech stack is needed to achieve true economies of scale, but to get there firms need to standardize their data, and to do that firms need to make sure their clients’ data is also standardized, which usually means integrated tech stacks. 

“If you have all these different clients with all these different technologies, even if your own tech stack is standardized the systems they use is different, so the kind of data you will get will be different, and the work you need to do to make it work with your data is different, and your team spends a lot of time spinning their wheels,” she said. “Once you get standardized, where everything back and forth from clients is the same, you get to see how well the teams can do their work.” 

One source of inefficiencies is a rushed implementation. Munson said that, too many times, firms are so eager to get a solution working that they don’t pay attention to all its capacities, just the ones they need right now, but once the basics are down firms still don’t circle back on the rest of the features and how they can be used to drive efficiency. 

“Most of us have been through an implementation, either in the practice or with a client, where you’re just like ‘anything to get it working. Forget about all the fancy things it does. We just needed to do the basics right,’ and then we never circle back on those better, more efficient processes. We get to sort of minimal viable, and then we forget to come back and give it an extra polish. And so what we see there is the processes get written for that basic piece, and we never update,” she said. 

But this is part of what both speakers believed was the larger problem of firms getting lost in the details of their tech stacks and not taking a broader, more holistic approach, which would enable more efficiencies. The key component to managing technology effectively, Munson said, is looking not at individual solutions here and there but thinking of the system as a whole. 

“Often, what happens is something’s wrong or something is troublesome in some way. And so [we say] what can we do to fix that one thing? And we don’t think about it holistically and get all the right folks in there so that we’re solving for the right pain points,” she said. 

Misherghi agreed, and added that this holistic extends not only to the technology a firm already has but the solutions they plan to purchase in the future. When evaluating what technology they need, she said leaders need to think not in terms of specific point solutions to particular problems but things that can support the entire workflow—plus, the onboarding, training and ongoing support from the vendor. 

“Don’t just look for features, right? Look for solutions that support your workflows from providers that understand you. For firms, onboarding and training and optimization can’t be an afterthought. They’re essential to realizing value. I think this is where vendor partnerships matter. Firms seeking the strongest results aren’t just using software, they’re collaborating with their providers, they’re staying educated, they’re making sure their tools evolve alongside their needs. The best outcomes happen when your technology partner acts like part of your team, not just part of your toolkit,” she said. 

Misherghi said that the more successful firms she’s seen think less in terms of performing particular tasks but designing an entire system that, through automation, can do those tasks for them. It is less about plugging holes and more about developing a full infrastructure. The survey found that 74% of participants have a detailed plan to add new services in the next 12 month; Misherghi noted that, among these firms, 86% have a detailed technology roadmap, which is “a wonderful mark on the evolution of the profession we’re seeing.” 

She said a good tech roadmap is more like a service design blueprint versus a shopping list. Successful firms, she said, are not just chasing features but designing intentional workflows and systems capable of scalable service delivery. Similarly, she stressed that the provider should be more than just a vendor but a strategic co-architect that can help with growing pains. 

Misherghi said this approach will become especially relevant as AI becomes more common, as integrations will be key to their effective use, which means thinking in terms of the whole system to understand where those integrations should take place. Right now, she said, people think of AI in terms of analyzing data or extracting fields, but with the rise of AI agents will require firms to focus more on coordinating between them. 

“I think the next big leap is when those systems don’t just talk to each other, they act on each other’s behalf. I think the next big inflection point will be moving from automated steps to autonomous workflows, where AI agents aren’t just analyzing data or extracting fields but actually orchestrating tasks across tools based on firm policies and context and that will change the role of the accounting profession: its less time doing the work and more time designing the system for how everything works together. So the firms that will be thriving are those who are building strong infrastructure now because that is what AI needs to deliver on its core value,” 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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