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Turning accountants into producers of technology capabilities

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Finance functions struggle to obtain enough digital talent to achieve their finance transformation goals. They won’t get there through hiring alone. To meet transformation objectives, nearly half of traditional finance roles must become digital finance roles: employees who can produce new finance technology capabilities by modifying, customizing and creating technology solutions.  

Finance functions are hoping digital transformation will help them to navigate heightened operating complexities, unfavorable labor market dynamics and the increasing embeddedness of technology. Yet to gain a full return on digital investments, finance must gain more productivity from its existing talent, with finance roles broadening to include more technology-related tasks alongside core finance responsibilities. 

However, most organizations have overfocused on developing employees’ ability to use existing technologies, while simultaneously underestimating the amount of new digital finance talent needed to reach transformation goals.   

Finance must secure “digital finance talent” rather than “core finance talent.”  

Digital finance talent vs. core finance talent comparison

To achieve this, finance leaders should consider the following strategy:  

Make finance employees producers of technology capabilities

To get finance employees to do more valuable technology work, finance leaders should focus on redesigning their core finance roles to incorporate technology capability production. By doing this, finance transformation leaders can intentionally embed technology work into employees’ roles and encourage them to shape technology processes to achieve specific outcomes relevant to their roles.  

A broad range of finance roles should undergo some form of role evolution in the coming years. In the meantime, however, most role evolutions will fall under two key areas within finance — accounting and analytics — as these are the most immediate applications for modern finance technology. Still, this overall shift applies to a much broader range of finance roles as organizations continue their transformation efforts and adopt advanced technologies. 

Evolve process-heavy roles into technology producers to drive deeper automation

Finance work necessitates a substantial portion of process-heavy and routine-based work that is time-intensive, prone to human error and repetitive in nature. Automating these process-heavy tasks will alleviate some of the embedded inefficiencies associated with core finance tasks. 

The ability to produce automation capabilities will free up capacity for more thought-based and analytical work, creating an advantage that can compound as employees make real-time adjustments to automated processes and tasks, and spot additional opportunities to automate. Accountants, with their manual, task-based and process-oriented work, are perfect candidates to automate and streamline their day-to-day processes.  

To begin evolving accountant roles into digital finance talent through automating tasks, finance leaders must look at changes to role responsibilities, day-to-day activities, performance measurement, experience and educational qualifications, and career pathing, such as supporting lateral moves into technology roles. These changes will help shape a culture where accountants feel emboldened to experiment with modern finance technology to drive better outcomes for the function. 

Some companies use a more structured, leadership-driven approach to turn accountants into technology producers, with formally defined test cases and guidance on available technology, dedicated training time, and peer learning groups. For example, a finance leader at a global insurance company helped launch a learning program for automating existing manual processes for a select few finance employees with digital interest. The mandate for this group was to learn about the new technologies and then develop and implement shorter-term, real-time solutions that would create efficiencies across existing accounting processes.  

Others develop accountants by using a combination of leadership- and employee-driven methods.  

For example, a financial and accounting analyst at a different insurance company built developer skills by participating in her organization’s enterprise citizen developer program. She leveraged a structured training course that allowed her to easily follow along and implement her learning alongside her daily work. But her success can primarily be attributed to her ability to identify her own digital opportunities, such as turning roadblocks in her daily responsibilities into impactful use cases for digital tools. This approach promotes autonomy and freedom to explore and increases capacity for quick wins to drive continued effort and motivation.  

Evolve analytical-heavy roles into technology producers to accelerate technology-enabled decision support

Finance transformation leaders are increasingly recognizing the potential of financial analysts to better drive business decisions through enhanced digital capabilities. By producing technology capabilities instead of just using them, financial analysts can fully explore their analytical curiosities while creating more differentiated, high-value analyses.  

The responsibility of the analyst role should evolve from having a finance-level lens, offering operational support for enterprise decision-making into having an enterprise-level lens offering strategic support for enterprise decision-making. Day-to-day this means moving away from relying solely on tools such as Excel, Power BI and Tableau to execute long range and scenario planning toward more data scientist-style work such as writing low-code to automate financial analysis and budget reports and creating artificial intelligence and machine learning models to transform planning and forecasting throughout the organization. 

To incentivize this, performance measurement for financial analysts should be focused toward improving the actionality, reliability and accuracy of insights given to the enterprise from finance and increasing the business’ reliance on analyst’s input. 

As finance functions become more complex, they must balance traditional responsibilities with the integration of new technologies. Repurposing core finance roles into digital finance talent who can actively contribute to technology development and implementation is a necessary step in getting the most of any finance transformation initiative while navigating such a challenging labor market for these digital skills. 

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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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