INCREASE TAX REVENUE

Indonesia loses tens of billions of dollars annually to mis-invoicing and under-invoicing on exports and imports — where goods are deliberately misclassified to evade tariffs, taxes, and exchange controls. Combined with opacity in banking transactions and human discretion at revenue collection points, this represents one of the largest addressable sources of untapped government revenue. This initiative deploys AI-powered scanning across all trade declarations and digitizes core banking and financial reporting infrastructure — eliminating the conditions that enable leakage. When every declaration is cross-verified against shipping manifests, satellite data, and banking flows in real time, and every financial transaction flows through a transparent digital system, the structural basis for mis-invoicing and corruption is removed.

Two integrated workstreams. First: export and import declaration scanning — AI systems cross-reference every trade declaration against shipping manifests, port records, satellite imagery, commodity pricing benchmarks, and banking flows to detect mis-invoicing, under-invoicing, and deliberate misclassification in real time. Flagged declarations are escalated automatically for investigation. The system targets the estimated $3-5 billion in annual revenue lost to export fraud alone, with broader impact across import duties, VAT, and commodity taxes. Second: banking software digitization — replacing legacy and manual banking reporting infrastructure with a unified digital system that provides real-time visibility into financial flows, eliminates human discretion from tax and exchange control enforcement, and creates an auditable trail for every significant transaction. Human corruption is removed not by enforcement alone, but by removing the conditions that make it possible. Both workstreams are at ideation stage pending programme design and technology selection.