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Accountants shouldn’t drown in employee purchase reconciliations

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Among the challenges accountants face is accounting for purchases employees make to get their work done. While the expense report process attempts to address this, it often falls short in providing accurate accounting because it relies on non-accountants entering financial data. The result is typically a time-consuming process for accountants, who must review, reconcile and correct the accounting entries submitted by employees.

The emergence of virtual cards, especially when combined with AI-powered fintech apps, offers accountants a new approach to solving this long-standing challenge.

What is a virtual card?

As many may already know, virtual cards are a type of company-paid credit card that functions like a traditional, physical card with one key difference: There’s no physical card involved. This allows for the creation of an almost unlimited number of unique card numbers, highlighting the brilliance behind virtual cards: intended use.

The concept of “intended use” recognizes that employees have specific scenarios in mind when using a virtual card. This could be to cover the expenses involved in an upcoming business trip, purchasing construction materials for a job or covering necessary permits or fees for cell tower repairs.

Fintech apps can issue virtual cards to employees based on intended use. These apps leverage intended use to determine the appropriate accounting for purchases made with each virtual card. Utilizing virtual cards through a fintech app, the employee experience becomes streamlined, making the process user-friendly. Employees simply select an intended use from a list provided by their organization and enter the desired spending limit. Unlike expense reports, they do not need to enter accounting codes or other financial details. The fintech app automatically determines the correct accounting in the background, eliminating the need for employees to manage complex accounting information.

AI can help improve accuracy

While intended use allows fintech apps to predict the correct accounting, some intended uses allow for an amount of accuracy that isn’t adequate.

An example is the business trip intended use discussed above. The accounting accuracy depends on the chart of accounts for travel-related expenses. If the COA has only one account for travel, then the trip’s intended use will have the necessary accuracy.  If there are expenses for subaccounts such as airfare, lodging, ground transportation and so forth, the trip needs to involve more detail to have the necessary accuracy. This is where AI can help.  

Fintech apps can use AI to analyze purchases made with a given virtual card and its intended use to arrive at the precise accounting for each purchase. The AI involved analyzes large sets of purchases by employees, looking for patterns in accounting. AI is able to consider a wide range of parameters found in these purchases and consider a vast array of possibilities to arrive at the correct accounting.  AI is especially impressive for sophisticated, multidimensional COAs because of its ability to analyze complex patterns.

AI ensures accurate accounting happens automatically, thus avoiding the need for accountants to review the accounting prior to booking purchases into the general ledger. Some fintech apps can automatically make these bookings by posting them to the GL, delivering accountants a completely automated process.

Reconciling credit card statements

In addition, some fintech apps, when combined with virtual card use, can automatically reconcile credit card statements, saving dozens of hours of month-end accounting work. These apps compare the transactions on a statement with purchases made using virtual cards and, because the accounting for these transactions is already confirmed, mark them as reconciled.

They also flag transactions paid with a physical card, instead of a virtual card; how these are handled depends on the fintech app. Some apps integrate with expense management services to verify if accounting data is available for these transactions. If so, the app uses this data and marks the transactions as reconciled.

For transactions without expense management data, AI-enabled apps can automatically predict the appropriate accounting. These apps then give accountants the choice to either use this predicted accounting as final or treat it as an accrual until the transactions appear in the expense management service. In both cases, the apps mark the transactions as reconciled, resulting in a fully reconciled credit card statement, ready for period close.

Streamlining the process

AI-powered fintech apps create a streamlined purchasing and accounting process for both employees and accountants. Before purchasing a good or service, employees simply request a virtual card and indicate its intended use, eliminating the need to input accounting data manually.

These apps can save accountants hours of work by automating the correct accounting for employee purchases and reconciling monthly statements from card issuers, ensuring a smoother, more accurate and efficient process.

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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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