Five steps to AI readiness for African organisations

Staff in almost every organisation are already using generative AI tools, often without guidance. That brings risks (confidential data pasted into public tools, unchecked outputs in official documents) but also a clear signal that people see value. The question for leaders is how to channel it.

1. Find out what is already happening

A short, anonymous survey on which tools staff use and for what will tell you more than any vendor presentation. It also shows where training is most needed.

2. Set simple rules early

An acceptable-use policy does not need to be long. Clarify which tools are approved, what data must never be shared, and that a human remains responsible for every output.

3. Train everyone on the basics, then by profession

Start with practical AI foundations for all staff. Then go deeper by role: an M&E officer, an HR manager and a finance officer each need different AI skills.

4. Pick two or three high-value use cases

Look for tasks that are frequent, time-consuming and low risk: drafting, summarising, analysing feedback. Pilot them, measure time saved, and share the results.

5. Build governance as you scale

As AI moves into core processes, put in place a risk register, clear ownership and regular review, aligned with your obligations under data protection law.