Skip to content

Risicomodel van teruggave btw doubles the hit rate of VAT checks

The Netherlands Court of Audit found that the Belastingdienst's risk model for VAT refund returns raised the hit rate of checks from 17% to 34%.

  • 2 for an organization

    Inspectors found errors in 34% of the VAT refund returns that the model selected, against 17% under the old selection rules.

  • Not rated society

    The €60 million a year in extra revenue is the Belastingdienst's own estimate, with no results yet from measuring extra revenue in practice.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

found, the grade of this recordstudiedreportedclaimed

An independent audit report supports the benefit.

Compared with

The old selection rules for VAT refund returns, which the model replaced. Measured.

Without the system
De trefkans van het oude model voor btw-teruggave was 17%
With it
met het nieuwe model wordt een trefkans van 34% gehaald
The system’s part
The Court compares the hit rate of the model with that of the old selection rules that it replaced, which isolates the model's part in the hit rate. The comparison rests on the Belastingdienst's sample of fully checked returns and spans different years. The Court describes the models as trained and tested on returns with known check outcomes. Its English news release calls the VAT model relatively simple.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Improved Task Accuracy
System
Risicomodel van teruggave btw (the Belastingdienst's risk model for VAT refund returns)
Made by
Belastingdienst (Netherlands Tax and Customs Administration)
Used by
Belastingdienst, for the selection of VAT refund returns for checks by tax inspectors
Where
Netherlands (national)
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Evaluating Information to Determine Compliance with Standards, Organizing, Planning, and Prioritizing Work
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Audit report, by authors with no tie to the system.

    Algemene Rekenkamer (Netherlands Court of Audit). Datagedreven selectie van aangiften door de Belastingdienst, §2.1.3 Trefkans, p. 10, and Bijlage 1 'Van data naar risicomodel', pp. 28-29. Sent to the House of Representatives on 11 June 2019.

    Wij hebben geconstateerd dat de trefkans bij btw-teruggave met het nieuwe risicomodel groter is dan met het oude model.
  2. Press release, by authors with no tie to the system.

    Netherlands Court of Audit. Tax and Customs Administration books good results using risk models to check returns. News item, 11 June 2019.

    Most errors were detected by a relatively simple model to check VAT refunds. The new approach increased the proportion of returns detected with errors from 17% to 34%, good for additional tax receipts of approximately €60 million a year.

Details

AI system

Workflow

Inspectors checked the VAT refund returns to which the model gave the highest chance of an error. The Belastingdienst trained the model on returns whose check outcomes were known and tested it on a separate file. Selected returns went to a desk check, followed by a books audit where the desk check called for one.

Money

Kind of value

Extra revenue from the new VAT refund model, by the Belastingdienst's estimate

Amount

Estimate: € 60 miljoen per jaar

Recipients and payers

Dutch public purse

Follow-up

Conditions for replication

The Belastingdienst must have returns with known check outcomes, from samples or recent checks, to train and test the model. Inspectors must have the capacity to check the selected returns, since capacity set how many returns were checked.

Entry details

Sector

Tax compliance.

Purpose

The Belastingdienst built its risk model for VAT refunds to estimate the chance of an error in every VAT refund return, so that inspectors check the returns with the highest risk.

37 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, beneficiaries, reach, distribution and access, duration, every measurement question, currency and prices, period and unit, realization, gross or net, included costs, comparison, method, return and payback, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). Risicomodel van teruggave btw doubles the hit rate of VAT checks (AIBD-1029). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1029.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

BibTeX Data Field definitions