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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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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

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U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

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Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

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Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

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