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How To Avoid An IRS Tax Audit

Business Cash Flow, Business Taxes, Cash Flow Management

Ever wonder how a company might catch the IRS’s attention for an audit, and what you can do to stay off their radar?

It’s completely normal for business owners to occasionally worry about that dreaded IRS audit notice. But instead of feeling helpless, it’s worth knowing what actions—by you or your accountant—help reduce audit risk. A good accountant or bookkeeper should understand and clearly explain the common triggers that make the IRS take a closer look, and what’s being done to avoid them.

Let’s break this down with a couple of classic examples.

The Office Supplies and Expenses Trap

The “Office Supplies and Expenses” account is often a red flag. It sometimes turns into a catch-all spot for purchases that aren’t clearly categorized. Bookkeepers might be tempted to toss uncertain transactions here to avoid asking questions. However, the smarter move is to mark these as “Uncategorized” and check with the business owner for clarification. Guessing can lead to mistakes; asking questions actually shows a keen eye for detail!

Too much reported spending in this category, especially compared to your company’s size and industry, can raise eyebrows at the IRS. For example, a credit card charge at Office Depot might actually cover several categories: advertising (postcards or flyers), janitorial (cleaning supplies), office technology (USB drives), or true office supplies (ink cartridges). It’s crucial to review receipts carefully and assign expenses accurately.

The Postage Account: Small but Mighty

Postage is another area that’s easy to get wrong. Regular postage for mailing bills is just “Postage,” but—if you buy several rolls of stamps to send out promotional postcards, that’s actually an “Advertising” expense. If you use postage to ship products, that should go under “Cost of Goods Sold: Freight.” Making these distinctions keeps your records accurate and avoids drawing IRS attention.

The Owner’s Draws Dilemma

Owner’s draws can also set off alarms. It’s acceptable to take money out of your business, but the IRS expects you to keep withdrawals within the limit of your net profit and not drain the company’s funds. Using business cash freely to pay personal expenses (rather than paying yourself, then handling personal purchases with your own money) is a risky habit that can look suspicious.

If you’re not on company payroll, decide on a reasonable draw amount, write yourself a check, deposit it in your personal account, and only then spend it on personal needs. Treating the business account like your own piggy bank is not only unsafe; it’s an easy way to trigger an audit.

The bottom line: Ask questions about unclear expenses, assign categories thoughtfully, and keep personal spending separate from the business. These habits not only keep you organized—they help keep the IRS’s gaze elsewhere!

The IRS uses AI and algorithms to flag tax returns for review to determine if an audit is called for, so I asked AI what algorithms the IRS uses, and here is the answer I received.

When the IRS scans an electronically submitted company tax return, several key algorithms and analytical techniques are used to determine if a return should be tagged for a potential audit:

  • Discriminant Function (DIF) System: The IRS employs the DIF score algorithm, which is a machine learning model trained on past audit outcomes. This algorithm gives every return a risk score based on features most closely associated with under-reporting or tax compliance issues. Returns with unusually high or suspicious scores are flagged for additional review.
  • Data Matching Algorithms: Electronically filed company tax returns are automatically compared with third-party data (such as W-2s, 1099s, interest statements, and information from banks, employers, and other institutions). Discrepancies flagged by these matching algorithms are one of the most common triggers for a deeper audit review.
  • Predictive Analytics and Machine Learning: The IRS uses large-scale statistical models and pattern-recognition techniques to identify anomalies, patterns of tax avoidance, or evasion. These models analyze trends and outliers not just in individual returns, but also against industry norms for similarly sized companies and sectors.
  • Industry Outlier Analysis: Through AI-driven comparisons, returns are measured against a vast database of industry and company norms. For example, if a company’s deductions or expenses are considerably outside the expected range for its industry, the return is flagged for further analysis.
  • Scoring for Specific Red Flags: Some triggers commonly programmed into IRS screening algorithms include:

    • High expenses relative to income.
    • Reporting net losses in multiple consecutive years.
    • Unusual deductions or credits.
    • Large changes in reported income from prior years.
    • Inconsistencies between reported income and lifestyle or asset information.
  • Random Selection: In addition to algorithmic selection, some returns are chosen randomly through computer screening, ensuring that not all audits are focused purely on outlier returns.
  • After being flagged, returns often undergo manual review by IRS agents before an audit is actually initiated—most flagged returns do not progress beyond this step.

    In summary, the focus is on AI-driven risk scoring, cross-checking with third-party data, predictive modeling, and statistical outlier detection, all aimed at prioritizing returns that statistically appear most likely to under-report taxes or contain errors. The exact details and weights in the algorithms are closely held and updated regularly by the IRS.

    Need help with figuring out how to keep YOUR company out of the gunsights of the IRS by categorizing accounting transactions properly and using cash flow management and planning to grow your income and profits while mitigating your tax liability?

    Contact Us to get the help you need.