Catalogue: AI in the Public Sector clear
2 practices not yet assessed for evidence strength.
Most practices in: Colombia (11)
Colombia's telecom regulator CRC ran a full regulatory-sandbox funnel — 8 proposals from 6 companies, 5 rejected, 2 advanced — and authorised …
Bogotá's WhatsApp-based AI assistant Chatico logged 3.6M+ conversations since 2023, handled 1.6M queries during a water-rationing crisis, and carried 147,000+ inputs to …
Colombia's Constitutional Court uses an NLP tool, PretorIA, to identify and cluster priority cases among 600,000+ annual constitutional-rights filings, cutting case-selection time …
Bogota's oversight office deployed VigIA, a random-forest model (AUC 0.943) trained on 87,387 SECOP II contracts, to flag procurement at risk of …
ICBF's BETTO uses AI to geo-locate Colombia’s most vulnerable 0–5-year-olds and match them with qualified childcare operators. By mid-2021: 217,000 previously unserved …
Colombia's DANE uses Ridge regression on Google Trends and news data to estimate agricultural GDP 30 days before official publication. The Q2 …
Colombia's audit body applies ML models across 13,000+ linked data sources to flag anomalous public-contracting activity in real time — catching a …
Colombia's DANE, World Data Lab and PARIS21 combined satellite day/night imagery with ML to raise poverty-estimate granularity from 1,123 to 78,000 data …
Colombia's Sisbén IV algorithm scores households on housing, health, education and labour data to decide eligibility for social programmes nationwide. A 2024 …
Banco de la República's July 2025 paper shows a Random Forest model combining Google Trends data with macro indicators nowcasts Colombian monthly …
Colombia's ICT Ministry announced six generative-AI models in July 2026 covering citizen complaints, contractor payments, labour certificates and telecom sanctions, targeting 10-15 …
Open full copilot Grounded in cited practices — always check the sources.
