Evidence-based catalog
Three layers to keep announcements separate from adoption
Each initiative is classified according to what its sources support. Only the first layer enters the verified-adoption count; the others remain visible because they document relevant commitments, infrastructure, research and capabilities.
31 documented initiatives in total
Verified adoption
7 visible records
Verified adoptionOperational
Verified:
Anonymization with Nymiz
Artificial-intelligence tool implemented by the Judicial Branch to depersonalize rulings and protect sensitive data. The institution identifies Nymiz as the platform used and documents its application in the process.
- Institution
- Judicial Branch
- Initiative type
- AI component
- Operational start
Verified adoptionOperational
Verified:
Clara: ARESEP virtual assistant
Generative AI virtual assistant available on ARESEP's website to answer questions about public regulatory information and guide users.
- Institution
- ARESEP
- Initiative type
- AI system
- Operational start
Verified adoptionPilot
Verified:
Document classification for debt collection
Judicial Branch pilot plan to automatically classify documents received by the Specialized Debt Collection Court of Pérez Zeledón. The official source confirms the use of artificial intelligence and reports faster case processing.
- Institution
- Judicial Branch
- Initiative type
- AI system
- Pilot start
Verified adoptionOperational
Verified:
Ela, guidance application for women
INAMU mobile application providing information, guidance and initial support around the clock through an artificial-intelligence chat. Institutional documentation identifies GPT-4 Turbo and file search as solution components.
- Institution
- INAMU
- Initiative type
- AI system
- First evidence
Verified adoptionOperational
Verified:
Electronic-invoicing anomaly detection
Finance Ministry solution for detecting anomalous patterns in electronic invoices and prioritizing audits. The project began in 2022, was tested in 2023, and the 2025 Macrofiscal Risk Report records continued use of the E-IAD detector.
- Institution
- Finance
- Initiative type
- AI system
- Operational start
Verified adoptionPilot
Verified:
LIDIA: predictive models in EDUS
Internal program of four predictive health models (type 2 diabetes, lung health, acute coronary syndrome and breast cancer) running on EDUS. Identifies at-risk populations so clinics can reach out before formal diagnosis.
- Institution
- CCSS
- Initiative type
- AI component
- Pilot start
Verified adoptionOperational
Verified:
ML model for budget execution forecasting
Machine-learning model used by the Judicial Branch to predict budget execution from its historical behavior. The institution’s 2019 accountability report documents its use and associated savings.
- Institution
- Judicial Branch
- Initiative type
- AI system
- Operational start
A reproducible classification
The visible status is not determined by a project name or an AI mention. Existence, execution, AI technique, operational use, results and governance are assessed separately, and every conclusion retains its sources.
Read the full methodology