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Tax Fraud Blotter: Just business

Published

2 years ago

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The first two pages; a Rainy day; in all modesty; and other highlights of recent tax cases.

Freeport, Texas: Tax preparer Krystal Wright has been sentenced to two years in prison to be followed by a year of supervised release for aiding and assisting in the preparation and filing of false income tax returns.

Wright, who pleaded guilty earlier this year, was the sole owner and only tax preparer at the tax prep firm WW2F. Most of her clients did not have a business nor did they discuss any business income or expenses with her. From 2017 through 2020, she prepared and filed some 83 federal income tax returns that contained false and fraudulent items, including qualified solar electric property costs, gifts by cash or check, business expenses, wages, salaries, tips and supplies. After Wright completed a return, she did not review the completed documents with clients and only provided them with the refund amount and first two pages of the return.

The filings resulted in a total tax harm of $525,404. Wright was also ordered to pay that amount in restitution.

Terrell, Texas: Tax preparer Toronto Henderson, 49, has pleaded guilty to conspiracy to aid, assist, counsel or advise in tax fraud and has been sentenced to two years in prison.  

Henderson owned two tax prep businesses and recruited tax preparers to prepare and file income tax returns for clients. Henderson or others at his instruction personally trained the preparers and instructed them to create, among other things, fraudulent Schedule Cs; preparers used taxpayer information unrelated to the operation of any business or created fictitious and false information with respect to operation of a business to allow the claiming of undeserved losses.

The tax loss totaled $373,230, which Henderson was also ordered to pay in restitution.

Columbus, Ohio: Tax preparer Ali Kasimu Alston, 48, has pleaded guilty to aiding in the preparation of false and fraudulent returns.

From at least 2015 through at least 2022, Alston owned and operated the prep business in Columbus Overtime Ventures LLC, d.b.a. Raining Cash Tax Service. He admitted to systematically falsifying client tax returns to maximize federal refunds, filing Schedule Cs with fake businesses to maximize tax credits. He also tried to bribe one of his former employees with $4,000 to provide false information to law enforcement that was investigating the tax prep business.

Aiding in the preparation of a false and fraudulent return carries up to three years in prison. Alston will also pay more than $1.2 million in restitution to the IRS.

Beaumont, Texas: Tax preparer Michelle Denise Johnston, 42, has been sentenced to 15 months in prison and ordered to pay $196,177 in restitution for federal tax violations.

Johnston worked at Allen and Johnston Tax Service, which she formed with Yolanda Allen Morris in 2011; each had worked as Jackson Hewitt office managers at Wal-Mart locations and had decided to open their own tax prep business. The company existed until Allen and Johnston split in February 2021.

Johnston requested refunds on clients’ federal returns that were not based on the clients’ actual income, expenses, deductions and qualifying credits. She inflated refunds based on fabricated income, expenses, deductions and credits reported by Johnston without clients’ knowledge.

The IRS deposited the refunds with a third-party vendor; Johnston then caused the third party to pay the clients a modest tax refund that she’d originally made known to them. Before the vendor paid, however, Johnston deducted what was essentially a second tax prep fee from the refunds, the amount generally being the difference between the filed, larger refund and the modest refund made known to the client.

Johnston also signed an income tax return and falsely stated the amount of gross receipts and fraudulently stated taxpayers’ total expenses on returns, knowing the information was false.

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Fairmont, West Virginia: Tax preparer Jack Lee Oliver, 56, of Rivesville, West Virginia, has been convicted on 26 counts of filing false returns.

Oliver owns an insurance sales and tax prep business known as Insurance Depot. He prepared returns for clients claiming business losses for non-existent businesses without the clients’ knowledge and prepared returns for clients who did have businesses, falsely inflating expenses to cause a business loss, again without the knowledge of the clients.

On his own returns, Oliver claimed the foster son of one of his clients, resulting in thousands in undeserved refundable credits.

The expected federal tax loss exceeds $500,000. Oliver faces up to three years in prison for each count. 

Lenexa, Kansas: Tax preparer Hophine Bwosinde has pleaded guilty to preparing and filing false income tax returns for clients.

Bwosinde operated the tax prep business Ambroseli Professional Services and from 2018 through 2022 prepared and filed false returns by either inflating legitimate business expenses or claiming losses related to fake businesses. He also falsely reported negative income on clients’ returns, generating undeserved refunds.

Bwosinde caused a total tax loss of more than $1.5 million.

Sentencing is Feb. 18. Bwosinde faces a maximum of three years in prison as well as a period of supervised release, restitution and monetary penalties. 

Miami: A federal court has issued an order holding Gerald Vito, James Eleby and Kwame Thomas in contempt for violating a permanent injunction that prohibited Vito and Eleby from preparing, filing or assisting in the preparation or filing of federal returns for others.

According to the complaint filed against them in March 2021, the pair prepared returns that significantly understated clients’ tax liabilities by claiming deductions for fabricated or inflated charitable deductions, medical expenses and employee business expenses. The complaint further alleged that the defendants significantly understated clients’ tax liabilities by reporting false or inflated business losses. In December 2021, the court issued a permanent injunction barring Vito and Eleby from preparing returns for others.

Following a hearing in September, the court found that the two violated the injunction by continuing to prepare returns for others. The court further found that Thomas, who was not a defendant in the original complaint, worked with Eleby to prepare returns in violation of the injunction.

The court held Vito, Eleby and Thomas in civil contempt and ordered that they disgorge, in the aggregate, $988,789.56 in fees they earned while violating the injunction. Vito and Eleby were further ordered to disclose to the government the names of all taxpayers for whom they prepared returns after Dec. 27, 2021, notify those taxpayers of the injunction, vacate the premises at which they prepare returns and file an affidavit of compliance with these terms.

San Antonio: Resident Rachel Olivia Markum has been sentenced to 15 months in prison for tax evasion.

Markum and her husband, Robert Franklin Markum Jr., prepared and signed a false joint 1040 for 2016 attesting that the couple’s sole income was gross receipts or sales from the business Camping and Fishing Outlet as $3,530,473. She was aware that the true gross receipts exceeded $4 million.

Rachel Markum pleaded guilty on May 28 to one count of tax evasion and aiding and abetting. Robert Markum pleaded guilty on April 1 to one count of tax evasion, and on Aug. 28 was sentenced to 27 months in prison. The couple was also ordered to pay $359,108 in restitution.

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

Published

13 hours 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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6 days 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

Published

1 week 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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