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Accountants will fuel CFOs’ navigation of the agentic future

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The role of the CFO has never been more critical – or more complex. From ongoing economic uncertainty to rising compliance demands, CFOs are under pressure to do it all: serve as strategists, manage risk, drive innovation, and partner with CEOs and the business to deliver the company vision, all while guiding their own finance departments through digital and now AI transformation.

Increasingly, success comes down to one defining factor: how CFOs approach the latest technology to create a competitive advantage.

Specifically, finance leaders must now consider embedding agentic AI into their functions — advanced technology that now goes beyond traditional automation to make autonomous decisions, take actions, and continuously adapt with minimal human intervention. 

But this is not a journey the CFO takes alone. Finance professionals — specifically accountants — play a central role in transforming strategic technology objectives into effective implementation. 

From automation to autonomy

Automation in finance isn’t new. Process automation using robotic process automation and machine learning has greatly reduced manual processing in finance, while chatbots have improved help desk interactions both internally and externally in the organization. Agentic AI is now going further by managing workflows autonomously while constantly monitoring, learning and adjusting to achieve defined goals.

For the finance function, what once seemed like a transformation happening around them has become a transformation powered by them. With their expertise in process automation, using the new AI technologies, CFOs can build finance teams that operate at new levels of speed and intelligence by further automating manual processes such as closing the books faster, generating scenario-based insights in real time, and strengthening compliance controls without adding headcount.

In this new reality, accounting professionals are indispensable stewards. If AI drafts a journal entry, accountants validate the context. If AI prepares commentary for a quarterly report, accountants check the compliance with accounting standards and that it communicates the right analysis and message. Accounting professionals are the true gatekeepers of AI agentic outputs. Far from replacing accounting staff, these systems elevate their role, freeing them from repetitive tasks and allowing them to focus on higher-value analysis and quality assurance.

What it looks like in practice

To get a sense of how this transformation plays out on the ground, consider a familiar, yet nuanced, accounting process like accounts payable and cash management. Traditionally, departments spend hours resolving disputes or tracking down payment details. Today, an agentic AI system can extract data from ERP platforms, analyze the tone of a vendor’s message, and generate tailored responses, sometimes resolving issues before a human ever steps in. And when the system flags something unusual, accountants can step in to interpret the context. With the groundwork done for them, they can apply their strategic lens to determine whether a deeper control issue is at play.

Another area where accountants can employ agentic AI is the month-end close. Instead of combing through journal entries manually, AI agents can classify and validate them, flagging anomalies in real time. Yet it is still the accountant who confirms exceptions and applies judgment when rules are not black and white. In these scenarios, technology may augment the process, but accountants provide the trust and oversight.

The CFO’s AI agentic playbook

As accountants gain powerful new capabilities for themselves, CFOs and finance leaders must set the vision and create the right conditions for agentic AI success. Three focus areas stand out in particular:

  1. Establishing governance: AI systems must be transparent, auditable and aligned with regulatory standards. Accountants will increasingly focus audits on ensuring AI outputs can be trusted and traced.
  2. Investing in upskilling: The finance talent model is changing rapidly. Finance professionals need AI fluency, from validating outputs to training digital agents. CFOs who invest in workforce readiness will build confident, capable teams.
  3. Embedding AI into the culture: CFOs must move beyond pilots and foster a culture where the staff feel empowered by AI as a multiplier, not threatened by it — encouraging them to apply professional judgment and strategic thinking where most valuable. 

Why accountants hold the key

The emergence of agentic AI marks a new chapter for finance in which accountants will be essential to driving success. They will test, refine and either validate or challenge AI-generated outputs. They will confirm that in the drive for efficiency, accuracy and ethics remain at the forefront.

To be clear, the core role of accountants won’t change. They will remain guardians of financial integrity. But in the AI agentic era, they will also become orchestrators of digital systems, interpreters of machine-generated insights, and trusted advisors who guide organizations through complexity.

The duality is: CFOs set the agentic course, and accountants implement and navigate it. Together, they will help finance not only keep pace with change but lead it.

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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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