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Firms with AI report higher per-employee revenue vs others

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Firms that use AI have higher revenue per employee than firms that do not. 

This is according to a survey from accounting-focused cloud services provider Rightworks, which found that firms that are actively using AI in one or more areas report per-employee revenue of $167,214. Firms that are testing AI in one or more areas reported $128,753 in per-employee revenue. Finally, those not using AI at all said they had a $121,811 per-employee revenue. Rightworks CEO Joel Hughes said in an email that while one might argue that firms with higher revenue are more likely to use AI anyway, other data indicated the technology is indeed having a positive effect. 

“It’s possible that firms most likely to use AI are more efficient and already have a higher revenue per employee. Yet half of the survey respondents from firms using AI indicate that they are saving on average 2+ hours per week. If others in the firm are also recognizing similar time savings, a higher revenue per employee among firms using AI makes sense. This also aligns with data from our 2024 firm technology survey, which found that tech-mature firms earn 39% more revenue per employee,” he said. 

Another causative factor might be quality of service. Among those firms that are using AI, 71% said it has improved service levels. They’re generally not planning to adjust staffing levels in response to AI, as 74% of firms using AI said they felt it would have no impact on headcount. 

Among the firms that do use AI, the most common use case is drafting client communications, reported by 24% of such firms, followed by researching information like IRS publications or regulatory changes (22%) and answering questions for clients (17%). 

The least common firm use case was a three-way tie between generating revenue, growing firm service offerings and training staff, all at 4%. When it comes to revenue generation specifically, though, 18% said they plan to use AI to do this in the future, and 52% said they wanted to use AI to do this but aren’t sure how. Similarly, while only 6% said they were using AI to increase profitability, 18% said they plan to use AI for this in the future, and 53% said they want AI to do this but don’t know how. Hughes said that firms will likely be more comfortable using AI and actually be able to do the things they want to do with it once they get more education on the subject. 

“Given that 58% of firm respondents reported having one to four employees, it’s not likely they are using complicated or bespoke solutions that would require substantial investment. However, education could be key to encouraging usage and adoption, especially when the majority are interested in leveraging AI for all 13 usage areas but many are not sure how to proceed,” he said. 

Still, Rightworks found that the number of firms actually using AI at all are in the minority: just 39% are either currently using the technology or trying it out. This might explain why only 9% of firms have an AI policy, as there may not be a need for one if nobody is using AI anyway. But even among those that are using it, the proportion of firms with policies of their own is only 19%. 

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Accounting

FASB Standardizes Carbon Offsets Accounting Rules

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FASB Standardizes Carbon Offsets Accounting Rules

In a decisive move toward standardized environmental financial reporting, accounting standards boards issued updated implementation guidance during the week ending July 25, 2026, regarding the formal recognition and valuation of corporate carbon offsets and environmental credits. The revised frameworks establish precise rules for how enterprises must measure, record, and disclose carbon credits on balance sheets, eliminating years of inconsistent reporting practices across public capital markets.

Under the finalized accounting standard, purchased carbon offsets can no longer be categorized under vague administrative expenses or unstandardized intangible asset accounts. Instead, organizations must classify environmental credits based on underlying operational intent—distinguishing between credits held for immediate compliance compliance obligations, long-term offset obligations, or active market trading. Furthermore, companies are required to evaluate carbon holdings for fair value impairment at the end of each reporting period, ensuring that depreciated or low-quality environmental credits do not distort corporate asset values.

The standardized rules carry significant implications for corporate audit committees and chief accounting officers. External audit firms are implementing rigorous verification protocols to validate the physical legitimacy, legal ownership, and scientific permanence of carbon credits claimed on balance sheets. Inaccurate or overstated carbon accounting claims now carry substantial financial litigation risk, alongside potential regulatory enforcement for misleading ESG disclosures.

To remain fully compliant, corporate accounting departments must establish centralized carbon tracking systems integrated into primary standard ERP ledgers. Accounting teams that proactively adopt standardized environmental reporting protocols will build investor credibility, streamline annual audit processes, and insulate their organizations against evolving regulatory scrutiny.

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Accounting

Automated Tax Compliance Tools Reduce Risk

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Automated Tax Compliance Tools Reduce Risk

Corporate tax departments reached a critical juncture in automated operational management. With nations worldwide rapidly enacting digital service taxes, localized value-added tax (VAT) mandates, and real-time electronic invoicing requirements, manual tax calculations have become obsolete. Modern corporate tax divisions are aggressively deploying AI-driven tax engine software to automate complex cross-border indirect tax calculations in real time.

The imperative for automated tax compliance stems from the sheer complexity of current trade policies and multi-jurisdictional commerce. E-commerce platforms, software vendors, and global manufacturers face constantly changing regional tax rates, statutory exemption rules, and cross-border tariff structures. Automated tax engines embed directly into enterprise enterprise resource planning (ERP) architectures, automatically applying correct tax codes at the point of sale, calculating real-time withholding amounts, and generating compliant e-invoices.

Automated audit trail generation represents another key advantage of modern tax tech integration. Advanced compliance platforms log every transactional tax determination on immutable digital ledgers, providing tax authorities with transparent, self-verifying audit trails. This capability drastically reduces the operational duration and administrative cost of corporate tax audits, protecting enterprises against severe penalties resulting from calculation errors or missed reporting deadlines.

For chief financial officers and tax directors, investing in automated tax compliance is a vital operational risk mitigation strategy. Automating routine tax calculations frees high-level accounting professionals to focus on strategic tax planning, transfer pricing optimization, and risk management in an increasingly complex global economic environment.

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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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