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Tax Fraud Blotter: Mass misdeeds

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2 years ago

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Noted; loan sharks; lowering the Boomer; and other highlights of recent tax cases.

Orlando, Florida: Christopher Johnson and Jasen Harvey, who is from Tampa, Florida, have pleaded guilty to conspiring to defraud the U.S. with a tax fraud called the “Note Program.” 

Arthur Grimes, of Ocoee and Orlando, Florida, pleaded guilty on April 2 to obstructing the IRS in connection with the fraud.

From 2015 to 2018, Johnson and Harvey promoted a scheme in which Harvey and others prepared returns for clients that claimed large nonexistent income tax withholdings had been paid to the IRS and sought large refunds based on those withholdings. The conspirators charged clients fees and required them to pay over a portion of the fraudulently obtained refunds.

Overall, the defendants claimed more than $3 million in fraudulent refunds on clients’ returns, of which the IRS paid about $1.5 million.

Grimes caused four false income tax returns prepared by Harvey to be filed. When the IRS attempted to recover a refund issued to Grimes based on one of those returns, Grimes made false statements and submitted false documents to an IRS revenue officer and transferred funds to a nominee bank account.

Johnson was paid more than $200,000 in 2016 and more than $100,000 in 2017 as his share of the proceeds from the scheme. He filed returns for those years that did not report that income, resulting in a tax loss of $78,259.

Johnson and Harvey each face up to five years in prison for the conspiracy charge. Grimes will be sentenced on Nov. 12; he faces a maximum of three years in prison for the tax obstruction charge. All three also face a period of supervised release, restitution and monetary penalties.

Farmington, Connecticut: Accountant and tax preparer Mark Legowski, 60, has pleaded guilty to filing false returns.

From January 2015 through December 2017, Legowski was a self-employed accountant and tax preparer doing business as Legowski & Company Inc. He prepared income tax returns for some 400 to 500 individual clients and some 50 to 60 businesses.

For the 2015 through 2017 tax years, to reduce his personal income tax liability, Legowski willfully underreported his firm’s gross receipts in its bookkeeping system by excluding some client payment checks. He then filed false personal income tax returns that failed to report more than $1.4 million in business income, which resulted in a loss to the IRS of $499,289.

Sentencing is Nov. 25. Legowski faces a maximum of three years in prison. He has agreed to cooperate with the IRS to pay $499,289 in back taxes, as well as penalties and interest.

San Diego: Andre Shammas, 43, owner of the accounting and tax prep business Shammas Funding Inc., has pleaded guilty to fraud charges, admitting that he submitted bogus applications for more than $5 million in pandemic-related loans.

Shammas admitted using his business to illegally apply for more than 40 Paycheck Protection Program loans. He solicited and recruited clients of the tax prep business and others to apply for fraudulent loans, then prepared fraudulent tax and other documentation to support fraudulent applications.

The applications included false and fraudulent statements in the loan applications, including false representations regarding the number of employees, the average monthly payroll and the gross receipts earned by the purported businesses. 

Sentencing is Nov. 18. He faces up to 20 years in prison.

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Reedsville, Pennsylvania: Vincent Minervini has pleaded guilty to filing a false return in 2018.

From 2014 through 2018, Minervini operated various companies that he either owned on his own or controlled through a partnership, including VM Holdings; Supreme Star Property Management; Boomer Builders; Debt Free Partnerships; Boomer Ranches DS; and VMJH Holdings.

Minervini filed personal and business returns in each of these years and made it appear that his businesses were incurring expenses, which were deducted from his businesses’ taxable income, by moving money from one of his companies to another and labeling such payments “Management Services,” “Management Fees,” “Operating Expenses,” “Operating Budget” and “Transfers.”

He also made payments from his companies to himself without reporting the transfers as income in his personal returns. As a result of these actions, Minervini underreported some $2,102,512 in income.

Minervini admitted that the tax returns for 2014 to 2018 contained knowingly false information and accepted responsibility for $266,618 in unpaid taxes, which was the full amount of unpaid taxes for 2014 to 2018. He also agreed to pay restitution to the IRS in that amount.

St. David, Arizona: Resident Roy L. Layne has pleaded guilty to wire fraud and filing a false refund claim with the IRS.

In 2020 and 2021, he submitted false applications on behalf of several bogus businesses to the U.S. Small Business Administration for loans from the PPP and the Economic Injury Disaster Loan programs. Layne claimed that the businesses had dozens of employees and earned hundreds of thousands in gross receipts; he created false business and employment tax forms that he filed with the IRS and submitted to the SBA.

Layne requested and received more than $300,000 in loans to which he was not entitled. In 2022, he also filed false returns with the IRS that sought nearly $7.5 million in refunds, of which the IRS paid some $550,000. 

Sentencing is Feb. 3. He faces a maximum of 30 years in prison for each wire fraud charge and five years for the false claim charge. He also faces a period of supervised release, restitution and monetary penalties.

Conyngham, Pennsylvania: Attorney Jill Moran, 55, has pleaded guilty to a three-count criminal information charging her with failing to pay individual income taxes for 2016, 2017 and 2018, in connection with substantial legal fees she earned as the owner and operator of the Powell Law Group, a local law firm, and as a member of the trust advisory committee for a mass tort litigation.

Moran did not pay individual income taxes for tax year 2016 on some $1,215,000 she received, and did not pay individual income taxes on substantial income she received in tax years 2017 and 2018. She caused a total tax loss to the IRS of $250,000 to $550,000. 

In 2009, Moran became the managing director and president of the Powell Law Group, when the founder and owner of the firm, Robert J. Powell, was suspended from the practice of law and ultimately disbarred. Moran and Powell agreed that she would collect 10% and he would collect 90% of any future fees the firm earned after expenses.

The Powell Law Group represented thousands of plaintiffs in a mass tort litigation that settled for some $5.15 billion in 2015, from which the firm was expected to receive some $120 million in attorneys’ fees. Prior to the attorneys’ fees disbursement, Powell Group and its co-counsel used those future legal fees as collateral to obtain loans totaling more than $125 million.

In 2014 and 2015, Moran received two disbursements of $500,000 each from those loan proceeds. She also received some $215,000 for her work on the trust advisory committee. In June 2016, most of the attorneys’ fees were finally disbursed and the loans repaid.

Still Moran paid no taxes on both the $1 million she received in attorney’s fees that year and the $215,000 she received for her work on the advisory committee. Likewise, in both 2017 and 2018 Moran received substantial income but paid no taxes on it.

On Aug. 14, Robert Powell pleaded guilty to evading taxes on the income he received in legal fees from the mass tort litigation. He awaits sentencing. 

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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5 days ago

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August 15, 2026

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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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2 weeks ago

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August 9, 2026

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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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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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2 weeks ago

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August 5, 2026

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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