Connect with us

Accounting

How AI will change lease accounting and auditing

Published

on

CFOs are increasingly using AI to reach business goals. 

That’s a finding from a recent study by Tipalti, which also found that 72% of financial executives are likely to use AI and focus on digital changes to reach their business goals. 

Lease management is not exempt from these forward-thinking goals. AI is transforming the way businesses manage their lease portfolios. This technology brings automation, accuracy and strategic insights to lease accounting and auditing.  

As ongoing compliance becomes more complicated, companies absolutely should be leaning on AI. Doing so can streamline operations, reduce errors and improve financial decision-making.  

“As CFOs want to lead their companies in building efficient back office teams, it’s imperative they harness the transformative power of digital technology to streamline workflows and eliminate manual processes,” said Sarah Spoja, CFO of Tipalti Research.  

AI’s impact on audit quality

AI-driven tools are enhancing audit quality by improving accuracy and detecting anomalies. With AI, auditors can now leverage machine learning to do two specific things to enhance quality: 

  • Detect fraud and inconsistencies: AI-powered anomaly detection can flag unusual lease payments, misclassified assets or deviations from historical financial patterns. Thus strengthening compliance and risk mitigation. 
  • Ensure regulatory compliance: AI continuously monitors lease data against ASC 842 and IFRS 16 standards. It automatically generates reports that align with audit and compliance requirements. 

The AICPA has also made its position clear. The organization recently approved updates to its standards. This reflects a broad industry recognition of the need for technological alignment and rigor in audit practices.

Along with new quality management resources, these updates provide clear guidelines on leveraging technology to enhance audit accuracy and financial statement quality. By reducing errors, AI is helping auditors provide more reliable financial statements, ultimately improving trust in lease accounting practices.  

AI’s impact on audit efficiency

Traditionally, lease audits relied on manual reviews of lease contracts, rent payments and financial reports. These processes are prone to human error and take more time than they should.  

With AI, auditors will be able to analyze large datasets with greater accuracy. AI can quickly process thousands of lease contracts. It extracts important financial terms and finds mistakes faster than a human auditor.

Ndonga Sagnia, CPA, MBA, is a co-founder of TimeCredit and deeply passionate about increasing efficiency in accounting, emphasizing that you can’t hide from AI and that using it quickly and correctly will benefit any organization.

“I have run into people who say, ‘I don’t want to use it, I don’t want my staff using it. I don’t want anyone using it,'” said Sagnia in a recent episode of The Lease Alert podcast. “Your AI policy cannot be ‘don’t use any AI.’ It’s going to leave your company behind. I talk to accounting firms every day, and there are so many for building – AI tools, buying AI tools, integrating with AI tools, testing out AI tools.”  

AI as a resource for the accounting talent shortage

The accounting talent shortage has plagued the profession and companies for years. AI is already proving to be a valuable tool to address this ongoing issue. According to a recent BDO report, nearly 61% of finance leaders plan to use AI to combat inefficiencies, 68% of leaders surveyed focus on recruiting accountants with real world experience, and 50% consider hiring competent professionals without accounting experience to fill essential roles. 

AI tools in data entry, predictive analytics and expense management help finance professionals focus on important tasks. This lets them use their skills for strategic work and informed decision making rather than busy work dominating their day to day.  

By implementing AI in these ways, finance teams can alleviate the strain caused by the talent shortage. They can now ensure that they maintain critical auditing functions. Even as the demand for experienced professionals continues to exceed the supply. 

Challenges the industry faces with AI adoption

AI offers many benefits, but using it in lease accounting has challenges. Auditors and accounting teams need to manage these issues. 

  • Data quality and integration issues – AI is only as good as the data it processes. Inconsistent lease data, missing records or unstructured contracts can hinder AI’s effectiveness. Companies must invest in high-quality data management to fully leverage AI capabilities. 
  • Regulatory and ethical considerations – As AI-driven lease accounting becomes more prevalent, regulators may introduce new compliance requirements around AI decision-making and transparency. Ensuring that AI models remain auditable and explainable is critical for maintaining trust. 
  • Change management and workforce adaptation – The shift to AI-powered auditing requires a cultural shift within organizations. Employees must adapt to new workflows, and businesses must provide training to help teams work alongside AI tools effectively. 

Despite these challenges, businesses that proactively address them will be well-positioned to benefit from AI’s potential. 

The human touch: where people matter in AI-driven auditing

AI may automate many aspects of lease accounting, but human expertise remains unrivaled in several key areas: 

  • Complex judgment and decision-making: AI can flag inconsistencies, but auditors still need to apply professional judgment when evaluating lease modifications, renegotiations and legal interpretations. 
  • Strategic advisory roles: As AI handles more data-heavy tasks, auditors and accountants will shift toward advisory roles. Roles that guide businesses on lease optimization, financial planning and compliance strategy. 
  • Ethical oversight and contextual understanding: AI lacks human intuition and ethical reasoning. Organizations need professionals to ensure AI-driven audits align with broader business goals, regulatory expectations and corporate governance. 

AI is reshaping lease accounting and auditing by improving efficiency, accuracy and compliance. However, the transition to AI-driven auditing comes with challenges, including data quality issues, regulatory considerations and workforce adaptation. 

AI will automate many routine tasks. Nevertheless, human expertise is still essential for making strategic decisions. People are not replaceable in ethical oversight and complex financial evaluations. 

As AI continues to evolve, businesses that embrace a balanced approach — leveraging technology while maintaining the human touch – will gain the most value from this revolutionary shift in lease accounting.

Continue Reading

Accounting

Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

Published

on

Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

Corporate accounting departments face an expanded regulatory mandate as mandatory sustainability and Environmental, Social, and Governance (ESG) reporting frameworks take full effect internationally. Governed by the European Union’s Corporate Sustainability Reporting Directive (CSRD) and the International Sustainability Standards Board (ISSB) IFRS S1 and S2 standards, enterprise financial controllers are now legally required to track, verify, and report non-financial data with the same internal controls and auditability as traditional financial statements.

The expansion shifts ESG compliance

This regulatory expansion shifts ESG compliance from marketing departments to corporate accounting offices. Financial managers are now responsible for gathering, consolidating, and verifying carbon emissions metrics, supply chain labor conditions, water usage, and climate risk exposures across multi-tiered corporate structures. These non-financial metrics must be integrated into standardized general ledgers to withstand rigorous third-party audit assurance processes.

To comply with these rigorous reporting mandates, accounting software providers have added dedicated ESG modules designed to aggregate data from IoT sensors, utility platforms, and vendor management systems. Controllers are implementing internal control frameworks—modeled after traditional COSO frameworks—to ensure the completeness, accuracy, and consistency of sustainability disclosures, protecting organizations against greenwashing penalties and litigation risks.

The transition requires significant cross-functional collaboration between accounting teams, legal counsel, and operational directors. Accounting professionals are expanding their technical expertise beyond financial ledgers to master carbon accounting methodologies, lifecycle assessment standards, and non-financial data governance protocols, fundamentally expanding the role of the modern corporate accountant.

Why This Information Matters
Mandatory ESG disclosures require companies to treat environmental and social metrics as audited financial records. Executives, accountants, and board members must institute formal tracking and assurance processes to satisfy legal mandates, maintain investor confidence, and mitigate regulatory non-compliance risks.

Continue Reading

Accounting

SEC’s Semiannual Reporting Proposal Faces Investor Pushback: What CFOs Need to Know

Published

on

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.

 

Continue Reading

Accounting

AI-Driven Automation and Continuous Accounting Frameworks

Published

on

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.

Continue Reading

Trending