Concrete use cases
Tax fraud detection, resource allocation optimization and better citizen services are three use cases where AI already produces measurable results in the sub-region.
Administrations often sit on untapped data — filing histories, support tickets, mobility data — that yields actionable signals once the right analytical tools are applied.
The conditions for success
A successful public AI project starts with quality data and a clear governance framework. Model transparency and human validation of sensitive decisions are non-negotiable.
Without this framework, even a technically strong model can be rejected by agents or legally challenged — governance is not a formality, it is a condition for success.
Start small, aim big
Our recommendation to administrations: start with one high-ROI use case, industrialize it, then expand.
Well-calibrated fraud-detection platforms of this kind, as deployed across the sub-region, show significant drops in revenue loss within the first year — proof the approach works, and a solid foundation for extending AI to other use cases within the same administration.
The next frontiers
Optimizing tax-collection routes, forecasting energy demand and conversational assistance for citizens are among the next use cases we are exploring with our public partners.
Each follows the same principle: a scoped, measured pilot before any generalization.
