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Tax Fraud Blotter: Reaping and sowing

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Share and share alike; fleecing the flock; United they fall; and other highlights of recent tax cases.

Shreveport, Louisiana: Tax preparer Sharhonda Law, 39, of Haughton, Louisiana, has been sentenced to 20 months in prison, to be followed by a year of supervised release, for tax fraud.

She owned and operated Law’s Tax Service, where she was the sole preparer. Law prepared and filed a client’s 2019 federal return that included a fraudulent Schedule F that claimed the client had farming income and had incurred farming expenses and was due a refund. In fact, the client owed taxes for that year. Investigation also showed that Law’s client did not have a farm, nor did they tell Law they owned or operated a farm and had never provided Law with any of the farming-related income or expenses on the Schedule F.

Law pleaded guilty in November to one count of aiding and assisting in making and subscribing a false return.

She made similar misrepresentations on six other returns for clients and falsified her own income on two of her personal returns; she also failed to file returns for other years. The total criminal tax loss was $123,455, which Law was ordered to pay in restitution.

Evansville, Indiana: Marcie Jean Doty, operations manager for a property management business, has been sentenced to five years in prison, to be followed by three years of supervised release, after pleading guilty to wire fraud, failure to file returns and filing false returns.

Between May 2017 and June 2022, Doty stole some $1,803,466.38 from her employer via unauthorized checks and ACH transfers. She executed 99 unauthorized transfers, totaling $503,151.59, and wrote 279 unauthorized checks to herself, totaling $1,300,314.79. The funds were transferred from her employer’s bank accounts to her personal ones. Doty entered false information in the business accounting software, representing that the checks were written to her employer instead of herself. 

In January 2017, Doty agreed to purchase a 25% equity share in her employer’s business. Doty used some of the money she stole via the scheme to make payments towards her purchase of the share.

For tax years 2018 through 2020, Doty didn’t report the income derived from her scheme, failing to report some $786,280.70. She also didn’t file returns for tax years 2021 and 2022, failing to report some $1,006,983.84 in income.

She has been ordered to pay $2,517,343.05 in restitution.

Crofton, Kentucky: Marvin Upton has been sentenced to two years and three months in prison, to be followed by three years of supervised release, for fraud and tax offenses.

Upton, until recently the pastor at local Crofton Pentecostal Church, was sentenced for three counts of bank fraud and three counts of filing false returns. From 2013 to 2016, Upton defrauded one of his elderly parishioners, who suffered from dementia. During that same time, Upton submitted multiple false returns that omitted income from the fraud.

Jacksonville, Florida: Exec Daniel Tharp has pleaded guilty to failure to pay taxes. 

Tharp was managing director for Hangar X Holdings LLC, where he had the responsibility to collect and account for the company’s trust fund taxes from employees’ pay. From October 2014 through December 2019, the company paid wages to employees and withheld these, but Tharp didn’t pay the money to the IRS. In total, he caused the company to fail to pay over $1.2 million in such taxes.

He faces a maximum of five years in prison.

Hands-in-jail-Blotter

Detroit: A federal court in Michigan has issued an injunction against tax preparers Alicia Bishop and Tenisha Green, barring them from preparing federal returns for others.

The court previously barred Alicia Qualls, Michael Turner and Constance Stewart from preparing federal returns for others and previously barred the business for which all of the preparers worked, United Tax Team Inc., and United Tax Team’s incorporator, Glen Hurst, from preparing federal returns for others.

Hurst, United Tax Team, Qualls, Turner and Stewart consented to the judgments.

According to the complaint, Hurst incorporated United Tax Team in 2016, and was its sole shareholder and corporate officer. Hurst hired the return preparers — including Qualls, Bishop, Green, Turner and Stewart — who worked at United locations in the Detroit area and prepared returns for clients that included false information not provided by clients.

The complaint alleges that Qualls, Bishop, Green, Turner and Stewart each repeatedly placed false or incorrect items, deductions, exemptions or statuses on returns without clients’ knowledge, including, in various cases, fabricated Schedule C businesses; fabricated education expenses; improperly claimed pandemic relief tax credits; improperly claimed head of household status; and fictitious child and dependent care expenses.

Akron, Ohio: Tax preparer Mustafa Ayoub Diab, 41, of Ravenna, Ohio, has been convicted of orchestrating a financial conspiracy that defrauded the U.S. government of pandemic benefits.

Diab was found guilty on 12 counts of theft of government funds, 12 counts of bank fraud, 11 of wire fraud, six of aggravated ID theft and one count each of conspiracy to commit wire and bank fraud and to launder monetary instruments.

Diab owned and operated a tax prep business where he and his co-conspirator, Elizabeth Lorraine Robinson, 33, also of Ravenna, developed a scheme to take advantage of the Pandemic Unemployment Assistance Program and the Paycheck Protection Program. From around June 2020 to August 2021, Diab submitted fraudulent applications for pandemic unemployment benefits and small-business assistance for many of his tax prep business clients.

Without their knowledge, he lied about their employment or about their being small-business owners. Investigators also discovered that Diab opened bank accounts in his clients’ names to receive the benefit funds via direct deposit, which the clients did not have access to, along with accounts in the names of Robinson and Diab’s sister. When the relief money was deposited into these accounts, he withdrew the funds in cash for his personal use, buying real estate and cars and taking international trips.

Diab submitted fraudulent applications in the names of nearly 80 victims, causing the federal government to pay out more than $1.2 million in pandemic benefits that were deposited into the various bank accounts that Diab controlled.

Sentencing is July 28. He faces up to 30 years in prison.

Robinson previously pleaded guilty to conspiracy, wire fraud, bank fraud and theft of government funds; she awaits sentencing and also faces up to 30 years in prison.

Columbus, Ohio: A federal court has permanently enjoined tax preparer Michael Craig from preparing returns for others and from owning or operating any prep business.

Craig, both individually and d.b.a. Craig’s Tax Service, consented to entry of the injunction. 

According to the complaint, many tax returns that Craig prepared made false and fraudulent claims, including losses for fictitious Schedule C businesses; claiming costs of goods sold for types of businesses that cannot claim these costs and without supporting documentation; inventing or inflating expenses for otherwise legitimate Schedule C businesses; and taking deductions for both cash and non-cash charitable deductions that are either exaggerated or fabricated.

According to the complaint, the IRS estimated a tax loss of more than $3.1 million in 2022 alone.

Craig must send notice of the injunction to each person for whom he prepared federal returns or refund claims after Jan. 1, 2022.

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Accounting

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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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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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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