Automated Audit Criteria Selection System (ACSS)
ACSS was designed in house by the Tunisian tax administration in partnership with TCP, using SQL and Oracle language. ACSS assigns a risk score to all taxpayers. The higher the risk score, the more likely that the taxpayer is underreporting their tax liability. The risk score is based on multiple criteria which look at different sources of information. There are three types of criteria used.
1. Comparison against peers.
2. Logical test.
3. Ratio test.
Taxpayers are classified into groups using type of activity, entity and turnover to calculate the national average.
The criteria takes information from multiple sources available to the tax administration:
1. Annual income tax returns
2. Aggregated monthly VAT returns
3. Aggregated tax payment information
4. Customs data
5. Social Security information
6. Municipality registration of sales contracts
7. Tax audit information.
Using this information, a total score is given to every taxpayer.
ACSS has enhanced the ability of the Tunisian tax administration to prioritize the audit of the riskiest taxpayers. TCP supported the tax administration to roll out ACSS via eight regional offices throughout Tunisia. Several regional offices recognized the immediate increase in efficiency that ACSS produced and noted that ACSS was yielding cases of non-compliance that would not have been detected using traditional case selection methods. Work is ongoing, with some cases expected to yield large results.
In sum, the ACSS increases the efficiency in which the tax administration selects cases for audit, providing information for timely decision making to verify that taxpayers comply with tax laws. In addition, the objective criteria integrated in the system increases the integrity and the transparency of case selection. This will strengthen taxpayer trust and confidence in tax administration, which positively affects rates of voluntary compliance.
Through the pilot, bugs were detected that produced incorrect scores. In addition, some criteria did not produce the expected score due to poor data quality. In response, the bugs were corrected and changes were made to the computer logic to address poor data quality.
A review of the hardware needs of the ACSS team showed that team members needed more powerful equipment to run the system given that it had to process hundreds of thousands of records. ACSS was installed and laptops delivered.
ACSS is flexible and could be replicated for tax systems in other countries. The criteria may be modified to adapt to the taxation situation of any country. ACSS could be used where risk management is applied or for selecting cases according to well-defined criteria. For example, in order to select the “right” candidates for a vacant job, an automated selection criteria will be useful in the examination of thousands of job applications.