e-IAD – Electronic Invoicing Anomaly Detector

The e-IAD is an unsupervised machine learning model to detect anomalies using electronic invoices, tax returns, and taxpayer registry data. This open-source solution was conceptualized with the know-how of tax experts from seven CIAT member countries (Brazil, Chile, Mexico, Spain, among others) in addition to the technical cooperation of Microsoft Corporation with CIAT. It has been installed in Costa Rica, Guatemala, and Rio Grande do Sul.
Some of the benefits of the e-IAD are a reduction in design and development time (12 months), quick detection of suspicious invoices that impact the tax revenue, and increased knowledge of new technologies.
For further information or a demo contact us
Gerencia de Proyectos
e-mail: proyectos@ciat.org
Phone:+507 307 2428
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