Skip to content 
SANDBOXES
Regulatory learning for the digital economy
Regulation in the context of innovation
The problem we address
The rapid spread of digital technologies—such as artificial intelligence, data, and platforms—challenges traditional regulatory frameworks. In contexts of high uncertainty, ex ante regulation tends to be rigid, slow, or inadequate, creating risks of both over-regulation (which stifles innovation) and regulatory gaps (which affect rights, competition, or safety). Governments in the region also face limitations in capacity, institutional coordination, and empirical evidence to regulate adaptively.
What do we do?
We support governments in the design, implementation, and scaling of regulatory and public policy testing environments (sandboxes) as instruments for institutional learning. These environments allow for controlled experimentation with flexible regulatory frameworks, generate real-world evidence, and progressively adjust rules while maintaining the protection of fundamental public objectives.
How do we do it?
We develop and apply the RESMA (Regulatory Sandbox Maturity Assessment) methodology, an analytical and operational tool that evaluates the maturity level of regulatory ecosystems across key dimensions such as governance, legal framework, technical capabilities, risk management, stakeholder participation, and learning mechanisms. Based on this diagnosis, RESMA translates gaps into actionable roadmaps, supporting the transition from pilot exercises to sustainable and replicable policy instruments at the national and regional levels.
The problem we address
The rapid spread of digital technologies—such as artificial intelligence, data, and platforms—challenges traditional regulatory frameworks. In contexts of high uncertainty, ex ante regulation tends to be rigid, slow, or inadequate, creating risks of both over-regulation (which stifles innovation) and regulatory gaps (which affect rights, competition, or safety). Governments in the region also face limitations in capacity, institutional coordination, and empirical evidence to regulate adaptively.
What do we do?
The rapid spread of digital technologies—such as artificial intelligence, data, and platforms—challenges traditional regulatory frameworks. In contexts of high uncertainty, ex ante regulation tends to be rigid, slow, or inadequate, creating risks of both over-regulation (which stifles innovation) and regulatory gaps (which affect rights, competition, or safety). Governments in the region also face limitations in capacity, institutional coordination, and empirical evidence to regulate adaptively.
How do we do it?
We develop and apply the RESMA (Regulatory Sandbox Maturity Assessment) methodology, an analytical and operational tool that evaluates the maturity level of regulatory ecosystems across key dimensions such as governance, legal framework, technical capabilities, risk management, stakeholder participation, and learning mechanisms. Based on this diagnosis, RESMA translates gaps into actionable roadmaps, supporting the transition from pilot exercises to sustainable and replicable policy instruments at the national and regional levels.
