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Accounting

Tax Fraud Blotter: Universal recipients

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License to steal; roll the Tape; Kings and Queens and cons; and other highlights of recent tax cases.

Kansas City, Missouri: Tax preparer Bianca Cobbins, 42, has pleaded guilty to taking part in two tax frauds. 

She pleaded guilty to two counts of making a false statement to a financial institution and five counts of aiding in the preparation of a false return.

Cobbins admitted that, in December 2019, she obtained personal information belonging to a victim, including the victim’s legal name, date of birth, Social Security number, address and credit score. Using this information, Cobbins obtained a fraudulent driver’s license containing the victim’s personal information and a photograph of another individual, Quanisha Capelton. Cobbins and Capelton then used the fraudulent driver’s license to apply for a checking account at a local financial institution.

After opening the account, Cobbins manufactured two fraudulent paystubs. The paystubs falsely indicated that the victim worked for a health care company in Kansas City  and that the victim’s paychecks were directly deposited into the fraudulently opened checking account. Cobbins and Capelton used the paystubs to apply for a consumer loan at the above-mentioned local financial institution.

Cobbins admitted that the procurement and use of the victim’s personal information to commit fraud resulted in a loss of at least $36,128.32.

Quanisha Capelton was previously charged, convicted and sentenced.

Cobbins further admitted that for tax years 2018 to 2023, she knowingly prepared false federal returns aimed at fraudulently inflating clients’ refunds. In many instances, Cobbins attached fraudulent Schedules C forms to her clients’ returns that falsely claimed business profits and or losses to ensure clients received the maximum Earned Income Credit.

Cobbins admitted to preparing at least 55 false federal returns, resulting in an actual loss of at least $312,656.

Cobbins is subject to 30 years in federal prison for each count of making a false statement to a financial institution and up to three years in prison for each count of aiding in the preparation of false returns. 

Naples, Florida: Businessman Alexis Garcia has pleaded guilty to conspiring to defraud the U.S. by operating an off-the-books payroll scheme. 

Garcia conspired to operate an illegal cash payroll system for construction workers to avoid paying employment taxes to the IRS and to defraud workers’ comp insurance companies.

Between 2017 and 2019, he managed and directed the operations of Tape Drywall Services. Contractors entered into agreements with Tape Drywall to provide workers for various contracts and provided checks in the name of Tape Drywall for payment. Garcia and his co-conspirator would cash the checks and retain a small percentage as a fee. Garcia and his co-conspirator provided cash to the foremen who used the cash to pay the workers.

Garcia and his co-conspirator cashed more than 3,600 checks totaling some $28 million. They did not report the wages to the IRS nor did they withhold Social Security, Medicare and federal income taxes from those wages and pay them over to the IRS. As a result, Garcia caused a loss to the U.S. of more than $4.2 million. Garcia and his co-conspirator also defrauded workers’ comp companies by substantially misrepresenting the amount of Tape Drywall’s payroll. The misrepresentations resulted in substantially lower insurance payments.

Garcia faces up to five years in prison, as well as a period of supervised release, restitution and monetary penalties.

Hands-in-jail-Blotter

Burbank, California: Armen Muradyan, 60, has pleaded guilty to evading payment of more than $11.2 million in federal taxes by using a shill to illegally collect Medicare reimbursement payments made to his blood-testing company, and to fraudulently obtaining nearly $100,000 in pandemic-related business relief.

He pleaded guilty to one count of conspiracy to commit health care fraud, one count of wire fraud and one count of tax evasion.

Muradyan owned and operated a Burbank-based blood testing laboratory called Genex Laboratories. Medicare and bank records show that Medicare paid millions of dollars in reimbursements to Genex for blood testing. The reimbursements were wired to bank accounts in the name of an individual identified in court documents as “L.S.” — Muradyan’s long-time friend to whom Muradyan had offered to pay $2,000 per month to pretend to be Genex’s owner.

Muradyan told L.S. that he needed him to submit Medicare enrollment papers to Medicare on Genex’s behalf because Medicare had banned Muradyan from submitting claims.

L.S. and Muradyan opened bank accounts for Genex in L.S.’s name but which Muradyan controlled. L.S. neither owned nor operated Genex and visited the company’s Burbank office to collect his $2,000 monthly payment and to sometimes sign documents at Muradyan’s direction. Muradyan used the proceeds from the health care fraud conspiracy to pay the mortgage on a property he owned.

For tax years of 2015 through 2020, Muradyan instructed L.S. to report Genex’s financial activity on L.S.’s personal income tax returns using documents that L.S. provided to his own tax preparer. The documents purportedly showed that Genex had minimal net profit or was operating at a loss, meaning the company had little or no income tax liability.

For the same period, Muradyan submitted income tax returns that reported none of Genex’s financial activity as his own and that he averaged an income of $40,000 per year. In fact, Muradyan personally received and used millions of dollars in Medicare reimbursements to support his own expensive lifestyle.

Muradyan also did not file tax returns for 2021 through 2023. 

In total, Muradyan’s unreported federal taxable income was some $23,915,762, resulting in a total federal income tax due of some $11,236,357. 

In July 2020, Muradyan wired a false and fraudulent application for an Economic Injury Disaster Loan. Lying that Genex employed multiple people and generated $800,000 in income for the year 2019. Muradyan knew Genex employed no one and generated zero income for that year. The U.S. Small Business Administration wired $99,900 to a bank account Muradyan controlled. He then used the money for personal expenses.

Sentencing is Dec. 11, when Muradyan will face a maximum of 20 years in federal prison for the wire fraud count, up to 10 years for the health care fraud conspiracy count, and up to five years for the tax evasion count. 

Ocoee, Florida: Tax preparer James Fednor Meristin has been sentenced to three years in prison for conspiracy to defraud the U.S. 

Meristin and other conspirators operated a tax prep business, Kings and Queens Multi Services, between 2019 and 2023, which prepared and filed false and fraudulent tax returns for its clients. These fraudulent returns were designed to maximize client refunds by, among other things, claiming COVID-related sick and family leave credits for which the taxpayer was not entitled.

Because of the excessive returns generated for their clients, Meristin and his co-conspirators were able to charge and receive exorbitant fees for their tax preparation services, including as high as $20,000 per return. He also admitted to deficiencies and fraudulent items in his own returns.

Meristin, who pleaded guilty earlier this year, was also ordered to pay $2,338,675 in restitution to the IRS.

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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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