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Pathway 01

AI Use Cases

Where can AI create value in Rwanda? Four sectors where AI can create significant economic and social value, each presented as an AI-readiness journey investors can participate in, from data foundations to nationally deployed applications.

  • 4 sectors
  • 1 proven reference model
  • 30+ use cases underway·
The main auditorium of the Global AI Summit on Africa

The readiness journey

Data → Consolidation → Intelligence → AI

Every sector follows the same four-stage journey. Health has travelled furthest and proves the model; agriculture, education and energy & climate invite investment across the journey itself.

4 stages
STAGE 1

Data

Field-level and institutional data brought together and digitised: the raw material of AI readiness.

STAGE 2

Consolidation

Cleaned, standardised, interoperable datasets: a common, AI-ready foundation.

STAGE 3

Intelligence

Real-time and predictive insight: seeing what is happening, and what happens next.

STAGE 4

AI

Applications deployed at national scale, running on shared rails.

Choose a sector

Four investment frontiers.

Mobile health unit deployed in Rwanda
SECTOR 01

Health

The reference model. Foundations built: the next wave is scalable AI applications.

Community outreach session in rural Rwanda
SECTOR 02

Agriculture

Invest across the readiness journey, from data foundations to AI in farmers’ hands.

Delegates at the Global AI Summit on Africa
SECTOR 03

Education

An AI-enabled education system: better outcomes, stronger management, national assessment.

Exposition hall at the Global AI Summit on Africa
SECTOR 04

Energy & Climate

Efficiency, renewables, grid performance and climate resilience, powered sustainably.

Next step

Choose where AI creates value, and participate.