Accounting

IRS signals leeway for tax deductions for fraud victims

Published

1 year ago

April 28, 2025

Fraud victims wondering whether they can deduct a portion of their financial losses tied to scams on their taxes just got some clarification from the IRS.

In a memo released last month, the IRS Office of Chief Counsel stated that victims seeking to protect their assets when they fell for a fraudster’s scam usually may deduct the tax basis of their losses for the year they discovered the theft. Previously, some financial advisors and tax pros had questioned whether that motive for moving assets qualified for the definition of “a transaction entered into for profit,” rather than a “personal casualty loss” — a type of deduction that the Tax Cuts and Jobs Act limited solely to disaster areas.

The five examples of scam losses covered in the memo reflect what experts say is a growing risk to consumers as fraudsters become more sophisticated at stealing their money. The memo held that the victims of compromised accounts, so-called pig butchering and phishing scams could receive the deduction for their tax basis.

On the other hand, it generally ruled out tax deductions for victims of romance and kidnapping schemes. And it also noted that anyone withdrawing money early from an individual retirement account for a transaction that turns out to be fraudulent would still face normal penalties for those transactions. Furthermore, none of the five examples fit the definition of a Ponzi scheme that would qualify for additional deductions.

Complexity and controversy

Critics have called for reform of tax rules that are complex and harmful to fraud victims. The IRS’ ruling is welcome, then, for allowing advisors and tax experts room to stem damages from efforts to safeguard assets for future investments.

Since fraud losses represent an unfortunate “part of our shared reality at this point,” the guidance can aid advisors assisting victims in the wake of a scam, said James Creech, a director with law firm Baker Tilly’s tax advocacy and controversy practice.

“The mechanisms that the fraudsters use are so polished and organized. They know the right psychological levers to pull at the right times,” Creech said. “When these happen, it’s incredibly isolating, and I find that there are a lot of people who just don’t know where to turn, and they don’t know what to do.”

In that context, some victims may be further surprised to learn that the deductible losses add up to their original basis (i.e. the initial $10,000 in an IRA that has appreciated to $100,000) instead of including any of the unrealized gains. Also, they first must verify that their money is not recoverable, said Miklos Ringbauer, the founder of Los Angeles-based tax firm MiklosCPA.

“Until we know that we are a victim, there’s no deduction,” Ringbauer said. “Once we are aware of it, we make the appropriate police reports and everything else when it becomes apparent that it’s nonrecoverable.”

The memo’s findings

The IRS memo acknowledged some of the confusion. For example, it noted the fact that there is “no statutory definition of ‘a transaction entered into for profit'” beyond some court-case analysis describing it as “a primary profit motive.” In addition, it cited some further IRS guidance from 16 years ago laying out the circumstances that investors can obtain a “safe harbor” from taxes on their losses from a Ponzi scheme.

One important aspect of the qualification criteria for Ponzi losses requires a “lead figure” who is charged or otherwise named as a defendant in a criminal complaint alleging theft after they secured victims’ money, claimed to generate income, paid other investors through the earlier customers’ outlays and misappropriated those assets. None of the five circumstances discussed in the memo fit that definition. But three of them qualified for a separate deduction tied to the tax basis of their losses at the hands of “Scammer A.”

“For taxpayers who authorized distributions and transfers to new accounts or directly to Scammer A, we look to their motive in doing so to determine the character of the transactions. Taxpayers who establish that their motive was to transfer their investment funds from existing investment accounts to new investment accounts, i.e., to safeguard existing investments or to engage in new investments, had a profit motive when authorizing the distributions and transfers,” the memo said. “For taxpayers who were motivated to transfer funds to Scammer A as part of a non-investment scam, i.e., the romance scam and kidnapping scam, there is no profit motive for the transaction, and the loss is a disallowed personal casualty loss. For taxpayers who did not authorize any distribution or transfer, the loss does not result from the actions of the taxpayer, so that the relevant transaction for determining the character of the loss is the original investment and the motive of the taxpayer at that time.”

Regardless of that distinction, each of the victims must pay any penalties for early IRA withdrawals or outlays from other accounts subject to them. The lack of any deduction for the latter two cases would likely arrive as bitter news for an investor tricked into believing a new online romantic partner had a close family member “in dire need of medical assistance” or someone fooled by an artificial intelligence-generated recording into thinking a grandson had been kidnapped and needed a ransom payment.

Room for improvement to the rules

The memo “shows that more victims than perhaps previously thought might qualify for the theft loss deduction, but it also illustrates how much work remains to help all taxpayers who find themselves victims of fraud,” according to a blog post on it last week by National Taxpayer Advocate Erin Collins, head of an independent IRS unit that evaluates the agency’s operations and reports recommendations to Congress and the rest of the government. Last year, Collins listed tax-related scams as among the agency’s “most serious problems” and called for letting the limitation on deductions for theft losses expire at the end of the year.

“The memo offers important clarification on when and how taxpayers may claim a theft loss deduction,” Collins wrote. “It also exposes gaps in the current law that leave many taxpayers without meaningful relief.”

Besides asking lawmakers to eliminate the restriction on deductions for theft, Collins called on them to extend the three-year statute of limitations on refund claims to the IRS, waive the penalty on early IRA withdrawals for scam victims and enable taxpayers to amend prior returns to report income differently for the years that they sustained the losses. It’s not clear that such policy ideas will gain any traction as the current Congress considers the sunsetting provisions of the 2017 law this year, since they would increase the cost of the legislation.

How advisors can help

Despite the complexity, advisors “really play such a critical role” through empathy for the victims combined with the technical expertise to point them to the next step, according to Creech of Baker Tilly. They often feel the sense that they “worked so hard to build this legacy, and now it’s gone and I have nothing to show for it,” and Creech has spoken with many who have gone from expecting “a very comfortable retirement to having Social Security income only,” he said. Asset allocations or interest rates often seem much easier to discuss.

“It’s more of an art than a science. No one gets financial certifications to be a grief counselor,” Creech said. “Those are important conversations and I think, sometimes, they keep people alive.”

With AI and other technology bringing new types of risk, advisors and tax pros should guide clients on prevention strategies to avoid the scams in the first place, Ringbauer said. For instance, if they hear from someone claiming to be from their financial institution, they should either hang up from the call or refrain from answering the text message, according to Ringbauer. Then they can take the time to call into the corporate headquarters separately on their own to see whether there is any legitimacy.

“The problem is, we live in a digital world and, in that process, we don’t do due diligence. We don’t think very quickly because we are faced with a catastrophic or emergency situation. In that process, our natural instinct is to protect,” Ringbauer said. “Today you don’t know if you are talking with me. For you as a taxpayer or an individual, the only protection you have is, you go back to the original source.”

Accounting

AI-Driven Automation and Continuous Accounting Frameworks

Published

2 days ago

August 15, 2026

Business Finance News

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.

Accounting

Global ESG Reporting Standards and Double Materiality Compliance

Published

1 week ago

August 9, 2026

Business Finance News

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.

Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

Published

2 weeks ago

August 5, 2026

Business Finance News

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.