Assessments
Africa’s organisations face a unique combination of challenges and opportunities.
Connectivity, infrastructure gaps, POPIA compliance, data maturity, cost pressures, and skills scarcity all shape how AI can (and should) be deployed on the continent.
That’s why afrAIca’s AI Readiness Assessment is built from the ground up for African realities, helping organisations understand exactly where they are today and what is realistically achievable next.
Our model aligns with a recognised Africa-focused AI Maturity & Governance Framework informed by research from:
- University of Pretoria (UP)
- University of Johannesburg (UJ)
- MIT Governance Lab (MIT GOV/LAB)
- Microsoft Africa Research Institute (MARI)
- CSIR (Council for Scientific and Industrial Research)
- and GovAI Africa research partners
This ensures your readiness insights are grounded in globally credible governance research but adapted for local conditions.
For us, AI sovereignty is more than cloud decisions or GPU availability.
It must include:
- Governance & ethical alignment
- POPIA compliance
- Responsible data handling
- Capabilities & skills
- Connectivity constraints
- Practical feasibility within African operating environments
Your readiness score reflects all of these dimensions, giving you clarity, not hype.
Every organisation receives:
- A full AI Readiness Score
- A domain-level breakdown
- A maturity tier (AI Unaware → AI Advanced)
- Africa-specific risks & opportunities
- High-value MVP recommendations
- Estimated costs for MVP build (African context)
- Actionable next steps tailored to your readiness level
- A governance-aligned baseline for AI planning
This forms a practical roadmap toward responsible, sovereign, and scalable AI adoption.
Our diagnostic evaluates your organisation across 8 Africa-adapted dimensions:
1. Leadership & Strategic Vision
Clarity of AI direction, sponsorship, and organisational ambition.
2. Technology & Infrastructure
Systems, cloud posture, connectivity, and technical foundations.
3. Data Maturity
Availability, quality, structure, governance and privacy readiness.
4. People & Skills
Workforce digital capability, AI literacy, and talent readiness.
5. Business Processes & Operations
Automation level, efficiency, and readiness for AI-assisted processes.
6. Customer & Market Strategy
Personalisation, engagement, and market competitiveness.
7. Governance, Risk & Compliance
POPIA alignment, responsible AI principles, and oversight structures.
8. Innovation & Change Capacity
Adaptability, experimentation culture, and transformation momentum.
These dimensions produce a clear, structured readiness score and practical recommendations, tailored for Africa’s operational context.
A 2-Step Process Designed for Busy Executives
Many executives don’t have time to complete long technical forms, so we created a lightweight process.
Step 1 - Executive Summary (3 minutes)
A short strategic overview completed by an executive or senior decision-maker.
Step 2 - Full Diagnostic
Your nominated team member automatically receives the full assessment and completes the detailed analysis.
This ensures executive intent + organisational detail are both captured without slowing anyone down.
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