01
AI Policy Design & National Strategy Development
Supporting governments in developing national AI strategies, regulatory frameworks, and data governance policies aligned with global standards and local realities.
Governance
AI Policy & Research
Translating global AI governance principles into practical tools, national strategies, and institutional systems that enable responsible, scalable AI adoption across Africa.
Who We Work With
A Policy–Delivery Institution for Africa's AI Era
Qhala Trust leads AI policy development, governance frameworks, and public sector capacity building across Africa — helping governments move from strategy to implementation.
Our work supports governments, development partners, and multilateral organisations seeking to strengthen AI readiness, digital transformation, and inclusive innovation across emerging markets.
- Governments
- Development Partners
- Multilateral Organisations
- Regulatory Bodies
Our Approach
What We Do
02
Public Sector Capacity Building
Through the AI 101 Masterclasses for Policymakers, we train government officials, regulators, and public institutions in AI governance and responsible adoption.
03
Technical Assistance & Implementation Support
Advisory services, implementation toolkits, and institutional support that turn AI policy into real-world outcomes.
Programmes & Tools
Key Projects
01AI Governance Toolkit for African PolicymakersA flagship resource enabling evidence-based policymaking and national strategy execution across the continent.Learn more →02Africa AI Declaration Implementation SupportOperationalising continental AI frameworks and supporting institutions like the Africa AI Council.Learn more →03AI Maturity IndexA diagnostic tool helping governments assess AI readiness, infrastructure, talent capacity, and regulatory environment.Learn more →04AI 101 Masterclasses for PolicymakersDelivered across Kenya, South Africa, Nigeria, Sierra Leone, Cameroon, and beyond — building a generation of AI-literate public servants.Learn more →05Trainer of Trainers (ToT) ModelEquipping local stakeholders — parliamentarians, civil servants — to cascade AI knowledge within their own institutions.Learn more →06Q-AcademyA continuous digital learning platform for AI policy training and public sector development, available across Africa.Learn more →
Gates Foundation Programme
Featured Work
Catalysing Africa's AI Leadership
Through our Catalysing Africa's AI Leadership programme, we set out to address the foundational gaps holding back Africa's AI readiness and leadership potential.
Rather than focusing narrowly on technology deployment, we took a systems-level approach — bringing together human capital development, governance and policy capacity, infrastructure readiness, and knowledge production, because none of these can be solved in isolation.
Five Strategic Pillars
- 01Human Capital Development
- 02Governance & Policy Capacity
- 03Infrastructure Readiness
- 04Knowledge Production
- 05Coordination & Ecosystem Building
Featured Output
AI Talent Readiness Index
An evidence base assessing AI talent readiness across all 54 African countries — led entirely by African expertise. Gives policymakers a clear, evidence-based picture of digital skills, infrastructure readiness, and government preparedness.
Access the IndexHow We Research
Africa-Led. Community-Centred. Evidence-Based.
We use a co-design approach that puts African communities at the centre of building our solutions, ensuring their languages, indigenous knowledge, cultural practices, beliefs, and lived experiences are genuinely understood and reflected in what we build — not added on afterward.
By grounding our work in an Africa-led evidence base, we give our partners the strategic insight to navigate complex digital landscapes and act on innovation opportunities with real confidence.
Co-DesignMixed MethodsFieldworkCommunity Engagement
Our Research in Practice
Case Studies
Work With Our Research Team
Commission Research. Access Our Evidence Base.
Whether you need bespoke policy research, access to our AI Talent Readiness Index, or a partner for your next evidence-driven initiative — we'd love to hear from you.