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Accounting

Tax Fraud Blotter: No solution

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Making use of refunds; playing defense; how to use thin air; and other highlights of recent tax cases.

Honolulu: Resident Hannah Heart has pleaded guilty to defrauding her mortgage lender and conspiring to defraud the IRS by fraudulently obtaining a tax refund and then thwarting IRS efforts to recoup it.

She conspired to file a false 2014 individual income tax return in her name. Heart’s co-conspirators created a fake tax form purportedly issued by a mortgage lender to Heart, which she attached to her return. The form falsely reported that Heart had received income from a financial institution of more than $2.4 million, from which over $1.2 million in taxes had been withheld. Heart then filed a return that claimed she was entitled to a $464,904 refund, which the IRS paid.

When the agency began trying to collect the fraudulent refund, she took several steps to thwart collection. She deposited the refund check into a trust bank account and immediately transferred most of the balance to a separate bank account, both of which she controlled. She also sent numerous “false, fraudulent and frivolous” letters to the IRS in response to their communications.

Heart helped another co-conspirator defraud the IRS using the same scheme. She and her co-conspirator deposited a second fraudulently obtained $1 million refund check from the IRS, payable to the co-conspirator.

In total, Heart caused a tax loss to the IRS of $1,618,985.54.

Heart also conspired to defraud her mortgage lender of $2,066,522.22.

She faces up to 20 years in prison on the charge of mail fraud and a maximum of five years for conspiracy to defraud the IRS. She also faces a period of supervised release, restitution and monetary penalties.

Washington, D.C.: Douglas Edelman, 73, a former defense contractor, has pleaded guilty to tax crimes related to a scheme to defraud the U.S. and evade taxes on income he earned from his contracts with the Defense Department.

Edelman pleaded guilty to 10 felony counts: conspiracy to defraud the United States, seven counts of tax evasion and two counts of making a false statement. Trial on the remaining counts will be in 2026.

Edelman founded and owned half of Mina Corp. and Red Star Enterprises, a defense contracting business that received more than $7 billion from contracts with the U.S. Department of Defense for jet fuel for U.S. post-9/11 military efforts in Afghanistan and the Middle East. 

Edelman engaged in a lengthy scheme to hide his Mina/Red Star profits to evade U.S. taxes, including by concealing his income in undisclosed foreign bank accounts, creating false documents and making false statements that one of his co-conspirators, a French citizen residing abroad and without U.S. tax obligations, founded and owned Mina/Red Star. 

In 2010, the U.S. House began investigating allegations of corruption in connection with Mina/Red Star’s contracts with the Department of Defense. As part of this inquiry, the subcommittee became interested in the identity of Mina/Red Star’s owners.

At this time, Edelman had not filed U.S. returns to report the millions he’d earned and had not paid U.S. taxes on his income. Edelman caused his attorneys to tell Congress a false story that a French co-conspirator founded and co-owed Mina/Red Star with another individual. To corroborate the false story, Edelman and a co-conspirator created false and backdated paperwork. 

To continue the scheme, Edelman lied about Mina/Red Star’s ownership to other arms of the U.S. government, including to the Department of Defense during contract negotiations in 2010 and 2011, to the IRS in a 2016 application to the Offshore Voluntary Disclosure Program and to the Justice Department in a 2018.

In conjunction with his 2016 application to the IRS program, Edelman filed false returns for several prior years that only reported income from gifts or purported consulting payments, continuing to conceal the millions he had earned from his company. He also concealed profits he had earned from a separate business to provide internet service to members of the armed forces in Afghanistan. 

Instead of paying the taxes he owed, Edelman used the money to fund his lifestyle and additional investments. He invested in a music television franchise in Eastern Europe, a land venture in Mexico and a farm in Kenya, and purchased property around Europe, including a home in Spain and a townhouse in London.

He faces up to five years in prison for each of the 10 counts to which he pleaded. He also faces a period of supervised release, restitution and monetary penalties. 

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Bowling Green, Kentucky: Resident Kenneth Ray Moore has been sentenced to 46 months in prison, to be followed by two years of supervised release, for wire fraud, money laundering and tax evasion.

Between October 2009 and May 2020, he committed wire fraud by engaging in a scheme to embezzle $1,145,800 from his employer. Moore, who formerly held the position of vice president of finance, caused his employer to issue checks to “KBM Solutions,” a shell company he created to receive embezzled funds. Moore laundered money by transferring the embezzled funds to his personal accounts.

Moore also failed to file personal income tax returns between 2013 and 2020, and owed more than $300,000 in unpaid taxes, penalties and interest.

He was ordered to pay $1,158,194.80 in restitution for the embezzlement and $342,155.84 in restitution for tax evasion.

Boston: Former IRS employee Kathleen Mannion, of Lawrence, Massachusetts, has pleaded guilty to filing false returns to fraudulently obtain refunds and to stealing Social Security benefits.

From 1998 to 2009, Mannion worked as an IRS contact representative in Andover, Massachusetts. Between approximately July 2020 through April 2023, she prepared and filed income tax returns for other individuals with the IRS. Even though Mannion prepared these returns for others, she did not list herself as the preparer but instead prepared the returns to appear as if the taxpayers had done the returns on their own.

Mannion listed ineligible dependents on the returns, resulting in higher refunds for which the taxpayers did not qualify, all without the knowledge of the taxpayers. Mannion also filed forms with the IRS directing that a portion of the fraudulently obtained refunds be deposited in her personal accounts.

Between April and October 2020, Mannion applied for Social Security benefits via telephone for others. She directed the Social Security Administration to deposit the benefits in her personal accounts, which she also used for her personal benefit.

Aiding and assisting the preparation and filing of a false return provides for up to  three years in prison, a year of supervised release and a fine of up to $250,000. The charge of theft of government money provides for a sentence of up to 10 years in prison, three years of supervised release and a fine of $250,000. Sentencing is Sept. 3.

St. Louis: Tax preparer Shasherese M. Reed, 53, has been sentenced to five years of probation and ordered to pay $230,000 in restitution for preparing fraudulent returns.

Reed, who previously pleaded guilty, prepared at least 41 false tax returns for 13 different taxpayers, costing the IRS at least $312,192. Authorities said Reed “made up businesses out of thin air” to claim tens of thousands of dollars in false business expenses, false medical and dental expenses, mortgage interest, state and local taxes, and deductible employee expenses. 

She falsely identified her daughter as the paid preparer on the returns and filed the returns under her daughter’s tax prep business, Majac Money. The IRS had revoked the PTIN of Reed and her business, Sha-Sha Taxes, in 2015 after the IRS determined Reed had submitted false tax returns.

During the recent investigation, Reed prepared a fraudulent return for an undercover IRS agent. Without ever asking if the agent had a business, Reed prepared a return that included a false Schedule C showing $26,242 in business expenses.

Reed made about $378,026 in fees for the 2017 to 2021 tax years.

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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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