The IRS has recently improved its audit selection process shifting from a subjective selection to a data-driven selection. Previously, subjective audit selection indicated that audits were driven by issue-specific determination. For example, following an IRS study on hospitals, more hospitals were selected to be audited compared to previous years. Similarly, following an IRS study on colleges and universities more audits of colleges and universities were performed.
The IRS has developed a data-driven approach that incorporates nearly 150 analytics based on nonprofit organizations’ Form 990 data in an effort to eliminate subjectivity. In doing so, the IRS intends to expand the number of organizations that could potentially be audited. If an organization “fails” too many analytical evaluations, it is more likely to be audited by the IRS. While no specific analytics have been published, industry experts anticipate the IRS to focus on the following sections of Form 990:
- Inconsistent information
- Reporting amounts in column (C) of Part VIII, but not reporting that a Form 990-T was filed on Part V, Line 3.
- Preparing Schedule L to report an insider transaction, but reporting on Part VI, Line 12 that the organization did not implement a conflict of interest policy.
- Responding affirmatively to a Part IV inquiry, but not completing the applicable Form 990 schedule.
Although the IRS’s method of audit selection was updated, its budget has not increased for nonprofit organizations. Despite the budget stagnation, the new data-driven audit selection method has increased return change rates to over 90%, which represents a substantial increase in change rates compared to the 70% seen with subjective audit selection. Furthermore, there has been a 20 -day reduction in average audit completion since the implementation of data-driven audit selections – from 233 days in 2015, when subjective audit selections occurred to 213 days in 2016.
For more information on this new approach, click here.