Connect with us

Accounting

How AI and automation are improving accounting now

Published

on

AI may be the best option for solving the accounting talent crisis. The accounting field is facing a multiyear, worsening talent shortage, with 87% of accounting and finance decision makers agreeing that it’s a problem. 

AI-driven automation (also known as intelligent automation) provides process automation that can learn from the data it handles to become more efficient over time. As such, it offers overloaded accounting and finance departments a lifeline for more efficient accounting operations, greater accuracy and a better employee experience, among other potential benefits. If there was ever a time for the traditionally cautious accounting industry to adopt leading-edge technology, it’s now.

That’s because the labor shortage is accelerating, and the average number of open accounting roles has more than doubled since 2024. A Q1 2025 survey of CFOs and other accounting and finance leaders revealed an average of five unfilled roles per company, up from just two in Q1 2024. This is a dramatic increase, and survey respondents indicated they expected the situation to worsen slightly by year’s end.

 Demographic trends feeding this decline include: 

●      a decline in accounting major enrollments;
●      greater interest in technology careers that offer better pay; and,
●      a desire to avoid tax- and reporting-time work-life imbalance.

These are long-term shifts that will be difficult to reverse. But AI automation is available now to help relieve some of the pressure.

Where are accounting leaders using AI and automation?

In 2024, most CFOs indicated they were taking a wait-and-see approach to AI automation in accounting processes. In 2025, a still small but growing number are relieving the workload on their employees with AI-enabled automation for standardized processes. More than a third (38%) reported using some form of automation and AI for “helping teams work more efficiently but not replacing jobs. Twenty-three percent said their company’s use of AI and automation was “reducing the need for certain roles.” But more than a quarter (26%) said that AI and automation had “no significant impact yet on their operations.

 Among the leaders already using these tools, they report seeing the largest impact in 

●      Accounts receivable (55%);
●      Accounts payable (54%);
●      Payroll (32%); and
●      General ledger and financial close (32%).

There’s even some process automation happening now for roles that CFOs described as harder to fill, including FP&A (14%) and tax compliance and reporting (13%).

Will AI-powered automation break the accounting talent crisis cycle?

The data above shows progress but also plenty of room for more use of AI-driven automation to handle repetitive accounting tasks. Even if AI automation can’t completely make up for open roles, it can reduce the additional work that existing employees are asked to do.

That matters because employees who have to take on more responsibilities because of unfilled roles are more likely to burn out or leave the organization. In accounting, 49% of organizations now require 60 days or more to fill an open position. Multiply that timespan by the average of five open accounting roles and it’s clear that many accountants, payroll specialists, auditors and other accounting professionals are doing more than their share and risking burnout to keep their departments running.

Overworked employees are more likely to make errors due to fatigue or distraction. That can expose organizations to liability. For example, 140 public U.S. companies had to reissue financial statements in 2024 because of accounting errors, twice as many as in 2020. This kind of incident is costly for the company and demoralizing for employees — another risk factor for turnover and burnout.

What are the biggest challenges to implementing AI automation?

What will it take for more accounting and finance organizations to adopt these tools? These are the biggest challenges cited by accounting and finance leaders:

Data security and compliance: Any system that handles sensitive data must adhere to best practices for cybersecurity, access controls and privacy regulations. Working with your IT and compliance teams on an implementation plan can help your organization avoid data exposure and noncompliance.

Some AI automation tools are designed to streamline compliance tasks. As you evaluate potential systems, look for those that offer

●      Compliance checks built into process automation workflows;
●      Compliance analysis that flags potential issues;
●      Automated report generation for compliance requirements; and
●      Machine learning to adapt processes when compliance requirements change.

Implementation costs: Finding room in the budget for a new software solution isn’t always easy, but AI-driven process automation has the potential to reduce costs over the long term by

●      Saving employee hours on basic AP, AR, payroll and other tasks;
●      Reducing data entry errors that can result in report recalls;
●      Helping to avoid penalties for noncompliance with data privacy and reporting requirements; and
●      Reducing costly employee turnover by reducing the overall workload.

AI systems management talent: Implementing intelligent automation requires someone to set it up and run it, with a skill set that many accounting and finance groups don’t have yet. In the near term, creating a team inhouse that wants to learn these skills and use them as part of their career development path is an option. So is working with a third party to handle implementation and train your AI team.

Taking the longer view, your organization should develop companywide AI training and policies to establish guardrails and best practices. That’s because while 40% of US workers say they’ve used AI at work in the past year, only 30% say their employer has AI guidelines. Putting these policies in place now can protect your data and avoid risk exposure while also building AI skills across your workforce.

Pulling ahead in the competition for accounting talent

Accounting teams that use intelligent automation strategically to reduce overwork, improve compliance and cultivate AI skills can gain another advantage in the talent shortage. They can become more attractive to the candidates that are on the market, who want to work with new technology and have a decent work-life balance. They can also retain more of their current employees for the same reasons.

So, organizations that are leveraging AI and automation in the accounting and finance space now are building operational efficiencies and recruiting and retention advantages that lagging firms will struggle to match going forward. To avoid getting left behind on talent and technology, accounting leaders need to start exploring how AI automation can help transform their quest for talent and efficiency.

Continue Reading

Accounting

SEC’s Semiannual Reporting Proposal Faces Investor Pushback: What CFOs Need to Know

Published

on

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.

 

Continue Reading

Accounting

AI-Driven Automation and Continuous Accounting Frameworks

Published

on

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.

Continue Reading

Accounting

Global ESG Reporting Standards and Double Materiality Compliance

Published

on

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.

Continue Reading

Trending