For years, the chances of an IRS audit felt remote for most taxpayers. Artificial intelligence has changed that calculation significantly, and businesses and individuals in Ohio and Kentucky need to understand exactly how.
Backed by modernization funding from the Inflation Reduction Act of 2022, the Internal Revenue Service has deployed artificial intelligence and machine learning models to identify and examine complex tax compliance issues with a speed and scale that traditional enforcement methods could not achieve. Understanding how these systems work is an important part of managing tax risk proactively.
How AI detects compliance risks
Rather than reviewing tax filings in isolation, the IRS’s predictive models process large volumes of financial data to identify patterns and relationships across multiple sources. The systems cross-reference third-party records, including W-2s, 1099s, and brokerage statements, to flag industry-wide anomalies and potential underreporting.
The agency has also formalized internal boundaries for how these tools are used. Under Internal Revenue Manual guidance on AI governance, the IRS has established that AI models are restricted to risk-scoring and decision support. They do not generate audit notices independently. A human revenue agent must review algorithmic findings before any official examination begins.
Primary enforcement targets
While AI monitors filings across all income levels, the IRS has concentrated resources in several specific areas:
- Large partnerships and pass-through entities: Under the Large Partnership Compliance (LPC) program, the IRS may use machine learning to examine hedge funds, private equity structures, and real estate joint ventures, with particular attention to significant balance-sheet discrepancies.
- High-income individuals: The system may flag taxpayers with substantial annual income who carry recognized tax debts or show significant mismatches between reported income and other financial indicators.
- Digital assets: Specialized data analysis tools may cross-reference public blockchain records with broker reporting data to identify unreported gains from cryptocurrency and other digital asset transactions.
According to the U.S. Government Accountability Office, the IRS’s active AI inventory grew significantly between 2022 and recent years, reflecting a broad expansion of machine-learning tools across the agency’s compliance operations.
What this means for taxpayers
An AI-flagged audit requires a well-organized, documented response. Vague or incomplete bookkeeping is difficult to defend when the IRS arrives with a detailed algorithmic analysis of an account’s activity. Complex deductions, basis adjustments, and business transactions are far easier to support when supported from the start with clean records and consistent documentation.
Taxpayers and business owners who are proactive about their recordkeeping and tax positions are significantly better positioned if an AI-generated risk score ever results in a formal examination. An experienced tax attorney can help evaluate current compliance exposure and identify areas that may warrant closer attention before the IRS does.