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How AI allows credit and incentive management to be the next big revenue opportunity in tax accounting

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AI is no longer a distant trend — it’s transforming the accounting profession today. 

While much attention has been paid to automation in audit, bookkeeping and reporting, one of the most immediate and overlooked opportunities lies in tax credits and incentives. 

Historically manual, time-consuming and underutilized by clients and accounting firms alike, C&I work is now being streamlined through sophisticated AI technology companies, opening the door to a significant new revenue stream for accounting firms.

At a time when CPA shortages are putting pressure on capacity and tax complexity continues to increase, firms need ways to do more with less. Automating the discovery, documentation and compliance processes around C&I doesn’t just improve efficiency, it empowers accountants to deliver high-impact value to clients who are actively seeking financial relief. 

Many businesses are unaware of the credits they qualify for, and they’re looking to their accountants for answers. By proactively identifying and securing these opportunities, firms can strengthen client relationships, reinforce their advisory role, and drive profitable growth.

In an environment where competition is fierce and margins are tight, turning C&I into a strategic capability isn’t just smart, it’s essential.

C&I as a focus of tax strategy

Despite representing billions in annual value, C&I programs remain an underleveraged asset in corporate tax strategy. At the federal, state and local levels, over 3,000 credit and incentive programs are active in the U.S. alone, according to the Council on State Taxation. These programs reward businesses for investing in job creation, clean energy, R&D, expansion and more.

Yet, the discovery and claiming of these incentives is often fragmented, managed in spreadsheets, decentralized email chains or entirely siloed within government affairs or operations teams. Many companies simply outsource, at huge expense, to advisory firms. This disconnect leads to billions in missed opportunities each year. According to IRS data and industry estimates, only a fraction of eligible incentives are claimed, leaving 20% to 30% of potential savings untapped.

Tax professionals know the value is there, but the manual effort required to identify, qualify and claim these credits has made them cost-prohibitive at scale. This is precisely where new AI-based models and firms enter.

Turning C&I into scalable value for accountants

AI and machine learning are radically improving the way tax teams surface and evaluate C&I opportunities. Instead of sifting through thousands of jurisdictional programs, modern platforms ingest location data, employment patterns and capital investments to instantly match companies with eligible credits, some of which are time-sensitive, retroactive, or require real-time compliance tracking.

Automation isn’t just about speed; it’s about precision and scalability. A single accountant or internal tax team can now scan hundreds of incentive programs across dozens of jurisdictions in seconds, not weeks. As a result, firms can shift their focus from data gathering and form-filling to strategic planning, cross-functional advisory and client education.

This efficiency is already driving measurable outcomes. According to Deloitte’s 2023 Global Tax Transformation Trends report, 65% of tax leaders rank automation as their top priority to manage complexity and elevate the role of tax within the business. In the context of C&I, automation enables firms to scale their reach across jurisdictions, reduce administrative burden, and redirect tax professionals toward higher-value strategic work — transforming what was once a labor-intensive function into a growth driver for both firms and their clients.

Bringing accounting into the automation era

Many firms have already embraced AI in audit and compliance. Tools that flag anomalies, track filing deadlines or automate document workflows are becoming standard. But accountants performing advisory services remain a largely manual endeavor (if performed at all). This creates a mismatch between the speed of compliance and the pace of strategic value delivery.

Few areas in tax advisory can deliver both immediate cost savings and long-term client value like C&I. AI brings automation to eligibility mapping, compliance tracking, and alerts, turning what was once a low-margin, high-effort offering into a high-yield, scalable revenue stream for firms and clients alike.

The industry’s shift is already underway. In June 2024, RSM US LLP announced a $1 billion investment in AI and automation technologies over five years, aiming to modernize its advisory and compliance offerings. The firm’s commitment to AI agents and cloud-based services reflects a broader acknowledgment that routine tax tasks must be automated ,not only to improve efficiency, but to enable professionals to focus on higher-value, strategic work amid an industry-wide talent shortage.

The future of accountants and tax advisory services

As the profession navigates shrinking headcount, intensifying regulatory demands and clients hungry for real financial impact, it’s time to reimagine the role of accountants, especially in the realm of tax advisory. Automating the discovery and management of C&I offers more than just efficiency gains; it unlocks a scalable advisory revenue stream that’s both timely and in high demand.

For firms looking to differentiate and grow, C&I automation is a strategic advantage. It allows accountants to move beyond reactive compliance work and into the role of proactive financial advisor, delivering tangible ROI to clients while driving firm profitability. The message is clear: If you’re not building a modern, AI-enabled C&I strategy, you’re leaving value on the table, for both your firm and your clients.

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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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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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