The marketing department of Cincinnati-based Barnes Dennig uses artificial intelligence for creating summaries, generating ideas for headlines and social media posts, and developing bios from resumes — but all of those are then evaluated and edited by a human marketer.
“In marketing, we leverage AI using the great description of ‘thinking of AI as a smart intern on their first day,'” explained firm managing director Jay Rammes, who was just named to Accounting Today’s 2024 Managing Partner Elite. (See the full list here.)
Marketing isn’t the only area where Barnes Dennig is applying AI — its assurance department uses AI to review thousands of leases to highlight key provisions in seconds, for instance — but it applies the same caution to reviewing the technology’s outputs.
Jay Rammes
“We’re utilizing AI across multiple practices within the firm, piloting new tools in a controlled ‘sandbox’ approach, evaluating outputs, and planning strategic steps forward,” explained Rammes.
Many of the other members of the MP Elite were similarly excited to explore AI — and similarly cautious.
Speaking specifically of generative AI tools like ChatGPT, Carla McCall, the MP of AAFCPAs (and chair of the American Institute of CPAs), said, “Yes, it has a lot of power and it can do a lot of good, but it also can be used by bad actors. So we have to be careful. We need responsible policies, and we also need to then think about what that new technology also does for risk within our firms and how are we managing that risk.”
“When I sat in on CPA.com’s and the AICPA’s AI symposium in December, what really stood out to me was the speaker that talked about developing a responsible AI policy,” she continued. “So not just, ‘Yes, you can use it.’ … It’s really about how do we create cultures where we’re all aligned on the definition of it, when we use it, how do we implement it, how do we govern it? How do we have accountability and monitoring and all of this? The bigger the firm, the more effort that it’s going to take to have us all aligned around that, so we’re using it in a responsible way.”
Having strong policies in place is important, because AAFCPAs is deeply engaged with AI. The Massachusetts-based firm is leveraging it as part of its Automation Center of Excellence, and has teams trying out Microsoft Copilot for a number of tasks, using GPT to query for Excel codes, using an AI large language model tool for tax research, and much more.
Eileen Sheridan
On the opposite coast, California-based Bartlett, Pringle & Wolf is exploring a similarly broad range of applications for AI, according to MP Eileen Sheridan — including using the same LLM tool, Ask Blue J, for tax research.
“Our firm is dedicated to leveraging AI to improve efficiency, gain deeper client insights, and provide top-notch services,” said Sheridan. “Spearheaded by our tax partner-in-charge, our team is currently exploring AI’s potential and future opportunities, along with using gen AI in our tax research.”
Making the investment
All that exploration requires investment, and the members of this year’s MP Elite are not shying away from that. For instance, Christopher Geier, the CEO of Sikich, greenlit a “substantial” budget for research and development around generative AI as soon as it became clear how much of a disruptor it was going to be (an investment made easier, no doubt, by the $250 million the firm recently brought on from Bain Capital). Among other things, the Chicago-based firm is piloting an AI-based human resources chatbot to give personalized support to staff while easing the workload of the HR team.
Vancouver, Washington-based Opsahl Dawson is getting a leg up on AI thanks to having joined private equity-backed accounting firm platform Ascend at the start of 2023.
(See what the MP Elite think about filling the pipeline of people entering the profession.)
“We are beginning the work to become a regional leader in AI thanks to the investment of powerful resources by Ascend, which is something that would have been too much to tackle by ourselves,” said Opsahl Dawson MP Aaron Dawson. “As AI’s muscle trickles down from the large national firms and gets to the large local firms, I think there’s going to be a lot of challenges with how you implement it and how you harness it. So because of Ascend, we’re going to be ahead of the game.”
“We’re going to have a special operations team that really understands and knows how to deploy different AI offerings,” he explained. “We will have a very well-thought-through strategy that will be able to be efficiently implemented at our firm and at the other firms at every level of Ascend’s platform.”
Al-Nesha Jones
To be clear, AI is not the exclusive preserve of large firms or those with major outside backing. Al-Nesha Jones’ ASE Group, for instance, which has just four employees, is just as active with artificial intelligence as any of the larger firms of her peers in the MP Elite.
“We use AI-driven tools in our accounting and tax workflows to automate data entry, analyze information, identify trends, monitor KPIs, and create more robust reporting for our clients,” Jones explained. “This technology streamlines our processes, reduces errors, saves time and mental capacity, and enhances the accuracy and timeliness of our service delivery. … By embracing AI, we improve efficiency, accuracy, and client satisfaction.”
While all of the MP Elite are exploring AI, that doesn’t mean they’re all at the same stage of exploration. San Francisco’s Kruze Consulting has a bit of a head start, according to founder Vanessa Kruze, thanks to a client base of technology companies that includes many software-as-a-service and AI startups.
“We frequently beta test the latest AI tools for startups and serve on product advisory councils for the largest accounting and fintech software providers,” she said. “This helps us to not only better understand automation and AI tools, but also provide feedback to developers. This relationship also benefits our clients because of the inroads we have developed that lead us to be able to quickly address any issues [our clients] may face. We serve some of the top AI companies in the market, which gives us a unique keyhole in the latest AI trends and keeps us on top of new advancements.”
No matter where they are in their engagement with artificial intelligence, all the members of this year’s MP Elite recognize its importance, and how important a role it is going to play in the future of their firms, and of the accounting profession.
“AI will continue to evolve at an exponential rate, and we’re going to see many significant advances in the CPA profession as well as in virtually all other sectors of the business world,” said Barnes Dennig’s Rammes. “It’s been said that AI won’t replace professionals across a variety of industries, but professionals who don’t leverage AI may be replaced by those who do.”
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.