Revenue Authority AI Intelligence Platform — National Tax Administration

A national revenue authority was struggling with a persistent tax gap estimated at 35% of potential revenue. Audit case selection was manual and based on auditor intuition rather than data analysis, resulting in low audit yields and inefficient use of limited audit resources. The authority had access to significant third-party data — banking records, customs data, business registry information — but lacked the analytical infrastructure to integrate and analyze this data systematically. Filing compliance rates were declining, and the authority lacked the visibility to identify non-filers and target compliance campaigns effectively.

This illustrative scenario describes the deployment of Gloseg Technologies' National Revenue Intelligence Platform (NRIP) for a national revenue authority. The implementation would involve: integration of third-party data sources (banking, customs, business registry, land registry) with taxpayer filing data; development and training of ML models for audit case selection, risk profiling, and compliance monitoring; deployment of an executive analytics dashboard providing real-time visibility into compliance performance; and a structured capacity building program for revenue authority analysts and auditors. The implementation would be phased over 18 months.

In this illustrative scenario, the revenue authority would achieve a significant improvement in audit efficiency through AI-powered case selection. The integration of third-party data would enable identification of non-filers and under-declarers at scale. Revenue forecasting models would provide the finance ministry with accurate monthly projections. The compliance monitoring dashboard would enable targeted compliance campaigns based on real-time data rather than historical patterns.