Rwanda wants to be Africa’s home for trusted AI. Now it has named the people who will make that plan real.
President Paul Kagame appointed three senior officials on 27 October 2026 to lead the new National Artificial Intelligence Agency. Olivier Twagirayezu is Chief Operations Officer. Jessica Ingabire is Chief Delivery Officer. Robert Kayinamura is Chief Strategy and Partnerships Officer. The agency will steer AI growth, funding and rules. It builds on Rwanda’s 2023 AI policy.
The agency is a step up from the AI Office inside the Ministry of ICT and Innovation. Cabinet approved it in June 2026, and it now stands on its own. Its job is wide. It covers research, skills, AI ethics and safety, industry growth and global ties. It also aims to open up data and computing power, and to train local talent.
The new leaders bring hands-on experience. Twagirayezu ran the Rwanda AI Scaling Hub from 2025. Before that, he spent five years at Smart Africa, working on digital services. Ingabire holds a master’s degree in technology and policy from the Massachusetts Institute of Technology (MIT). It looks like a team built to deliver results and win partners.
The 2023 policy sets six priorities. They are AI skills, reliable computing, a strong data plan, trusted AI in government, useful AI in business, and clear ethics rules. It also aims for 50 AI applications in four years. These would serve health, farming, education, finance and public services. AI systems must follow Rwanda’s data protection law.
| Rwanda’s starting point | Detail |
|---|---|
| Digital base. | National fibre backbone and wide 4G. |
| Services online. | Over 250 digitised. |
| Payments. | A national digital payment platform. |
| Gaps. | Few AI experts. Split data. High computing costs. |
Rwanda is not alone. The 2025 Government AI Readiness Index found 29 Sub-Saharan countries with national AI plans in place or in the works. But a July 2026 CIPESA analysis found that, apart from Kenya, most of them set no budget. Rwanda funds its work project by project.
Why it matters: A plan on paper does not train engineers or build data centres. A named, full-time team can. For builders, a clear home for AI rules may mean faster approvals, better data access and more partners. Other African governments can also learn from it. The risks are real. Top AI talent is scarce and computing is costly. The agency will be judged by results in clinics, farms and classrooms, not by announcements.
What to watch next: the agency’s first priorities and its budget. Also watch how it opens data and computing power to startups, how it handles AI safety, and whether its 50-application goal becomes real products.
Sources: The New Times, “National AI Agency gets new leaders,” 28 October 2026 (see New Times); KT Press on Cabinet’s approval of the agency; Rwanda National AI Policy (2023); CIPESA analysis, July 2026; Government AI Readiness Index 2025.
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