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Accounting

The 2025 Best Accounting Firms for Technology

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The initial response to artificial intelligence from the accounting community was one of wonder and amazement and, for a while, it seemed like every firm from the smallest storefront to the largest network was eager to demonstrate its embrace of the technology.

But today, as more firms become familiar with AI — especially its generative and agentic variants — firms are focusing less on blanket adoption and more on governance, recognizing both its powerful potential and its very real limitations.

Virtually every firm included in this year’s list has a formal governance policy specifically governing AI use, and the few who do not have already found ways to work AI into already existing frameworks. Further, a rough consensus of what an AI policy should look like has begun to form. Firms in general have implemented strict prohibitions on unloading sensitive client data into public AI tools, require mandatory training on responsible AI use, and regularly monitor and assess their AI activities.

Many others have gone further, doing things like establishing cross-functional AI teams, addressing AI in their written information security plans, educating people on AI’s ethical challenges, or establishing private cloud environments specifically for AI.

(Read more:AI in accounting: Weighing the pros and cons.“)

Much of this has been done in recognition of AI’s risk and its limitations. It is not 2023 anymore and no one is thinking AI will solve all their problems. Yes, the technology has done many impressive things: Firm leaders report major time savings, deeper analytics, expanded automation, better brainstorming, and incredible efficiencies in software development. At the same time, nearly all the Best Firms for Technology have been frustrated by inaccurate, inconsistent or low-quality outputs, naming this as one of their biggest disappointments with the technology.

Other firms mentioned lengthy and difficult implementations, cybersecurity and data privacy problems, and difficulty working with tools like Excel.

“AI is far from a silver bullet. It’s easy to build something that works in the innovation lab, but it’s much more challenging to build something reliable and scalable across the firm. Even well-trained models can be inconsistent, and costs can rise quickly without a clear return,” said Jonathan Kraftchick, an assurance partner at Top 100 Firm Cherry Bekaert.

These firms’ approach toward AI has much in common with their technology stance as a whole, as every firm in this year’s list also said they have a written technology strategy. Each one is taking a deliberate and intentional approach to their technology infrastructure with the expectation that it will pay dividends in the future.

When asked what they hope AI would be able to do eventually, leaders mentioned not just these problems being solved, but also bots being able to better connect the dots and understand contexts better, which would enable them to become true assistants that can handle complex administrative tasks, as well as better data cleaning capacities and better interoperability with things like Excel or PowerPoint.

(Read more: AI will replace some accountants using AI: How not to be one of them.)

Yet these challenges are not preventing firms from continuing major investments in AI; they are, in fact, accelerating them, as tech spending is going up. Of the 10 firms in this list, four said their technology spending has increased significantly since last year, four said it increased slightly, one said it stayed about the same and one said that, while absolute costs have significantly grown, its per-user costs have shrunk. As for why so many firms are spending more on tech, AI was frequently cited, alongside rising service fees and the need to support additional staff.

“We are a digitally determined organization from the top down. We seek to invest in technologies that improve our capabilities, responsiveness, and our quality. Fiscal year 2024 and 2025 has us investing in AI-enabled solutions which support these attributes. Additionally, some core solutions under transition/transformation result in overlapping costs for the duration of the change,” said Peter Sebilian, chief technology officer and chief information security officer for Top 100 Firm AAFCPAs.

This focus on AI plays into other aspects of their technology. For instance, this year’s firms lean heavily on cloud computing, with the majority saying they have no physical servers on site. Even among those that do have at least one, the applications they use are almost entirely cloud-based. Similarly, cybersecurity is a big priority for each of these firms as well, as nearly all of them adhere to at least one recognized cybersecurity standard, such as SOC 2, ISO 27001 or NIST CSF.

Overall, these are firms that take AI seriously in terms of not only adoption but oversight and supporting infrastructure. Given the rapid pace of development in this sector, who knows what we’ll see next year?

With all that in mind, below are this year’s Best Firms for Technology.

(Read more: See the 2024 Best Firms for Technology.)

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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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