The New Era of AI Risk Assessment and Increased IRS Scrutiny: What 2026 Means for Professional Firms

The IRS has entered a new era, and it’s powered by artificial intelligence.

As of April 2025, the agency reported 101 active AI projects, up from 68 the previous year. And twenty-seven of those projects are focused specifically on the enforcement and audit selection. Meaning, what began as experimentation has moved into a full operational deployment.

This is no longer a pilot program sitting in a lab. AI risk assessment is now embedded in how tax returns are evaluated.

This change matters for professional service firms, especially those earning $300,000 or more each year. These firms have closely linked finances, where payroll, margins, and owner pay are connected. If these numbers don’t line up, the increased IRS scrutiny of 2026 can now spot it quickly and reliably.

As we move into 2026, tax planning is no longer only focused on minimizing liability but securing financial statement accuracy that holds up under a system designed to recognize patterns at scale.

How AI Risk Assessment Is Reshaping IRS Oversight

The IRS has long been considered one of the most operationally efficient tax agencies in the developed world, spending roughly $0.35 to collect every $100 in revenue — about half the average cost among OECD countries. At the same time, budget reductions over the past decade forced the agency to operate with fewer resources. That being said, modernization through data analytics and AI became not just a strategic upgrade, but a structural necessity.

Through this automated data matching, W-2s, 1099s, K-1s, 941 payroll filings, and other third- party reports are cross-referenced almost instantly. So, when contractor payments contradict payroll structures, or when reported income does not reconcile across forms, the system flags the inconsistency before a human examiner ever becomes involved.

Ratio analysis also plays an equally important role. Payroll percentages relative to revenue, margins compared to industry norms, and deduction patterns are all evaluated through AI risk assessment models –– and these systems will identify deviations that fall outside statistically expected ranges.

Finally, cross-referenced state reporting adds another layer of visibility. As federal filings are no longer evaluated in isolation, multi-jurisdictional reporting alignment becomes increasingly important as 2026 IRS tax return changes continue to emphasize digital integration.

Patterns That Elevate Risk in 2026

In practice, AI risk assessment systems look for patterns, not just single numbers. If your figures seem inconsistent with your business size, structure, or past behavior, your return is more likely to be reviewed closely.

Inconsistent Payroll vs Revenue

A mismatch between payroll and revenue is a common trigger. For example, because

professional firms rely on labor, if payroll ratios are much higher or lower than expected, AI risk assessment will take a closer look.

Irregular Large Expenses

Big jumps in expenses without matching revenue growth also stand out. If operating costs rise sharply but revenue stays the same, the system checks if this makes sense for your business or if it looks unusual.

Frequent Loans

Too many officer loans can distort your balance sheet. If shareholder advances pile up without clear repayment plans, or if their classifications change from year to year, the IRS may take a closer look.

Rounded Numbers

If you use rounded numbers often across expense categories, it can look like you’re estimating instead of reporting exact figures. While rounding isn’t against the rules, repeating this pattern can affect your risk score.

Payroll Inconsistencies

Automated data matching makes it easier to spot mismatches between 1099 and payroll filings. Likewise, making large R&D claims without proper documentation often draws attention from AI-powered reviews.​

What We’re Seeing in Practice Since the Pandemic

In recent years, especially after the pandemic, our firm has seen more IRS letters and notices about unfiled returns, unpaid balances, and deductions needing more documentation. Most of these weren’t aggressive tax moves. Instead, filings fell behind during COVID or paperwork wasn’t organized for automated reviews.

We’ve helped clients by updating their returns, providing the right documents, setting up

payment plans when needed, and getting back in compliance without further problems. Often, the problem wasn’t intent, but how things were set up in the first place.

Why DIY Filing Carries More Exposure Today

Tax software makes filing simple, but that doesn’t mean you’re fully protected. Most programs can do the math, but they aren’t fit to check your risk under these new AI review systems.

Plus, handling your own bookkeeping can lead to small errors, which is common. Expense categories might change each year, and payroll classifications may not match your actual business operations. So, if owner pay and distributions aren’t planned well, your financial statement may not line up with your balance sheet.

Online “tax hacks” can make things even more complicated, as advice that seems helpful on its own might not fit industry standards or risk limits. For example, tax software often accepts entries that meet its requirements, but it doesn’t check if those entries match the patterns the IRS looks for.

If your deductions, profit margins, and payroll don’t match your revenue patterns, the AI system will spot these inconsistencies using probability scoring.

In fact, the broader Treasury Department has already demonstrated how powerful these tools can be. In Fiscal Year 2024 alone, Treasury announced that enhanced fraud detection processes, including machine learning AI, prevented and recovered over $4 billion in fraud and improper payments. This goes to show that risk-based screening, high-risk transaction prioritization, and AI-driven fraud detection are no longer experimental tools. They are operational systems producing measurable results.

In 2026, doing your own filing isn’t wrong, but it simply carries more risk in a data-driven system.

Strengthen Your Financial Infrastructure Through Proactive Tax Planning

It’s best to respond to increased IRS scrutiny in 2026 with a strategy, not just react to problems. Good tax planning starts with knowing that clean bookkeeping doesn’t always mean your reports are aligned.

Clean Bookkeeping ≠ Aligned Reporting

Many firms think that if their books are up to date, everything is fine. While clean bookkeeping is important, it doesn’t always mean your reporting is aligned. Income statements, balance sheets, payroll filings, and tax returns all need to match. If they don’t, inconsistencies will show up quickly.

Quarterly Tax Alignment Reviews

Quarterly tax alignment reviews help you catch issues before they grow. Instead of finding problems at year-end, you can check revenue trends, payroll percentages, deductions, and owner pay as they happen.

Balance Sheet Integrity

Balance sheet integrity affects how stable your reporting looks. Officer loans, retained earnings, and liability categories should be structured on purpose, not changed informally. These accounts often get attention if they change without a clear reason. Careful oversight here lowers your risk.

Documentation Discipline

Major deductions and credits need organized records that clearly link expenses to a real

business purpose. In an AI-reviewed system, consistency matters. When your documentation matches your numbers, your position is stronger.

Payroll Ratio Monitoring

For professional service firms, it’s important to keep an eye on payroll ratios. Payroll as a

percentage of revenue is a clear sign of how well your structure fits. Watching this ratio all year lets you fix problems early instead of explaining them later.

Preparing for 2026 IRS Tax Return Changes

With the 2026 IRS tax return changes bringing more digital tools and AI, professional firms should see financial oversight as a key part of their strategy, not just a task to check off.

Increased IRS scrutiny isn’t meant to be adversarial; it’s a result of new technology. Firms that use structured tax planning, keep good records, and report consistently will be better prepared for the future.

As AI, automation, and financial reporting systems continue to evolve, businesses should proactively review their financial controls, operational workflows, and reporting processes. Download our free “AI Risk Readiness Checklist” to identify potential financial, operational, and compliance blind spots before they become larger issues: AI Risk Readiness Checklist