Tech-forward CPA firms–including those listed in this year’s Best Firms for Technology–reported a variety of areas in need of a tech upgrade, and are planning major investments over the next year to address at least some of these pain points.
One of the most commonly mentioned areas were firm practice management systems.
Some, like California-based Navolio and Tallman, wanted better reporting options than were currently on offer from their practice management systems. New Jersey-based Wilken Gutenplan, meanwhile, said they needed practice management software with better billing and reporting features. And others, like top 25 firm Citrin Cooperman, wanted better solutions for internal administrative tasks. Meanwhile, top 100 firm Prager Metis, wanted better workflow and integrations.
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“[We plan to] focus on improving inward facing practice management workflows that seamlessly provide connectivity between different vendor applications. Effectively automation from client intake to delivering the service,” said chief information officer Gurjit Singh.
However, such upgrades are not always easy, and in fact can present a major challenge for firms such as Iowa-based Community CPA and Associates.
“Our biggest technology challenge continues to be managing technical debt and navigating the limitations of our legacy systems—particularly the lack of interoperability and scalability in key platforms like our practice management system (PMS). This system handles many interconnected functions—client tracking, engagement and project management, time entry, billing, and collections—but its tightly integrated design makes it difficult to enhance any one area without impacting others. While we’ve made progress with some integrations and automations, we’re still working to develop and migrate these functions to more robust modern platforms that allow for greater scalability,” said CEO Ying Sa.
Firms also reported a need to update and improve their technology infrastructure. Top 25 firm Armanino, for instance, was expanding its cloud footprint even further, with the firm wanting to move its remaining on-premise dependencies into native cloud solutions. Illinois-based Mowery and Schoenfeld, similarly, pointed to their server infrastructure as an area that needs updating.
For others, though, the question of infrastructure was less about hardware and more about software. In particular, while firms have already made upgrades and improvements to their tech stack, getting these programs to talk to each other seems to be a consistent challenge across firms, one that firms such top 50 firm LBMC said they were eager to address in both their client-facing and back-office technology solutions.
“Our firm’s biggest technology challenge is the ongoing effort to integrate various service-specific applications so they can work seamlessly together. This integration is crucial for enhancing collaboration and efficiency across different service lines,” said CEO Jim Meade.
But while these were the more common answers, there were many other areas that firms said could stand some improvement. Some, such as the Florida-based Network Firm, were looking to upgrade core service solutions like audit, tax or data analytics software. Others named process efficiency as a priority, such as top 25 firm Cherry Bekaert who named automation readiness/standardization for certain practices as an area due for an upgrade, or top 50 firm UHY who said they were working to streamline the engagement life cycle.
And of course there were those, such as top 25 firm Eisner Amper, that wanted to boost their AI capacities.
“Our focus for technology capability additions are in Generative AI where it can help us work smarter and faster—across both client-facing services and internal operations,” said chief technology officer Sanjay Desai.
AI, automation and infrastructure
These pain points have served to inform these firms’ plans for technology investments over the next year. While firms, just like before, provided a wide variety of plans and priorities, most seemed focused on improved efficiency and insights through automation and AI.
However, when it came to AI tools at least, most declined to provide specifics beyond their overall intentions to invest in them. Though, they did say they were hoping to use these solutions to speed up workflows in client-facing service areas like tax or audit, or to acquire tools that would let them create or modify their own AIs.
More expansive visions came when discussing the kinds of hardware purchases that would support these aforementioned AI tools. California-based Navolio and Tallman, for example, elaborated on its plans to purchase new laptops specifically optimized for AI applications.
“We’re planning to invest in a new generation of laptops that come with Copilot-enabled Neural Processing Units (NPUs). These laptops are designed to accelerate AI-powered tasks, and we see them as an investment that keeps our firm aligned with the future of the tech industry. The laptops will have improved internal specs for multitasking and include touchscreen functionality to make day-to-day usage more intuitive,” said IT partner Stephanie Ringrose. Other firms also made mention of new laptops optimized for AI, including Armanino, which added that it is also considering pairing them with hardwire and storage for internal AI production.
Beyond hardware, firms like Community CPA and Associates also said they were planning investments in their software infrastructure as well.
“We plan to begin transitioning to a new ERP and CRM platform as well as explore agentic AI tools for saving time in our accounting services workflows for our clients. We also intend to purchase replacement hardware for routine replacement of equipment that has reached the end of their lifecycle,” said Sa. Cherry Bekaert also said they were looking into new ERPs.
Other planned investments include virtual servers and desktops, API access for SaaS applications, resource scheduling and pricing solutions, data management and governance tools, cybersecurity solutions, and internal communications software.
However, some firms, such as the Network Firm, are not planning to purchase new solutions but to make them in-house, and more are planning to buy some and make others, such as Cherry Bekaert, who said they were building a custom intelligent automation platform. Assurance partner Jonathan Kraftchick said the firm is looking at many different avenues to align their technology investments with business objectives.
“As our portfolio broadens, it introduces new layers of complexity to our operations, requiring cutting-edge systems that deliver actionable insights, enhance decision-making, and streamline internal processes. This challenge propels us to implement diverse technology solutions, meticulously tailored to meet the evolving demands of our expanding portfolio and ensure the seamless integration of new acquisitions,” he said.
Corporate accounting departments face an expanded regulatory mandate as mandatory sustainability and Environmental, Social, and Governance (ESG) reporting frameworks take full effect internationally. Governed by the European Union’s Corporate Sustainability Reporting Directive (CSRD) and the International Sustainability Standards Board (ISSB) IFRS S1 and S2 standards, enterprise financial controllers are now legally required to track, verify, and report non-financial data with the same internal controls and auditability as traditional financial statements.
The expansion shifts ESG compliance
This regulatory expansion shifts ESG compliance from marketing departments to corporate accounting offices. Financial managers are now responsible for gathering, consolidating, and verifying carbon emissions metrics, supply chain labor conditions, water usage, and climate risk exposures across multi-tiered corporate structures. These non-financial metrics must be integrated into standardized general ledgers to withstand rigorous third-party audit assurance processes.
To comply with these rigorous reporting mandates, accounting software providers have added dedicated ESG modules designed to aggregate data from IoT sensors, utility platforms, and vendor management systems. Controllers are implementing internal control frameworks—modeled after traditional COSO frameworks—to ensure the completeness, accuracy, and consistency of sustainability disclosures, protecting organizations against greenwashing penalties and litigation risks.
The transition requires significant cross-functional collaboration between accounting teams, legal counsel, and operational directors. Accounting professionals are expanding their technical expertise beyond financial ledgers to master carbon accounting methodologies, lifecycle assessment standards, and non-financial data governance protocols, fundamentally expanding the role of the modern corporate accountant.
Why This Information Matters
Mandatory ESG disclosures require companies to treat environmental and social metrics as audited financial records. Executives, accountants, and board members must institute formal tracking and assurance processes to satisfy legal mandates, maintain investor confidence, and mitigate regulatory non-compliance risks.
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.
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.